People

Participants are Ph.D. students, postdoctoral researchers, and untenured faculty within 7 years of their Ph.D.

Participants by Year

Leadership Team



Image of Chris Bail, Founding Director
Chris Bail, Founding Director
Chris Bail is Co-Founder of SICSS and Professor of Sociology, Political Science, and Public Policy at Duke University where he directs the Polarization Lab. He is also affiliated with the Interdisciplinary Data Science Program, the Duke Network Analysis Center, and serves on the Advisory Council of the National Science Foundation's SBE Directorate. His research examines political polarization, culture and social psychology using tools from the field of computational social science. He is the author of Breaking the Social Media Prism: How to Make our Platforms Less Polarizing. He has organized or co-organized six SICSS locations.
Image of Kat Albrecht, Director (North America)
Kat Albrecht, Director (North America)
Kat Albrecht is an Assistant Professor at Georgia State University in the Andrew Young School of Policy Studies and a Judicial Innovation Fellow at Georgetown Law School. She is a computationally trained legal scholar and social scientist studying how complex data can inform policy with particular emphasis on the nexus between criminal data, fear, and regulation. She is on the data engineering team of the Systematic Content Analysis of Litigation EventS Open Knowledge Network (SCALES OKN), an NSF Convergence Accelerator Project building an AI powered data platform that makes court records public and analyzable. She has convened sites of SICSS since 2018 including SICSS Chicago, SICSS Atlanta, and SICSS South Florida.

Advisory Council



Image of Vissého Adjiwanou
Vissého Adjiwanou
Vissého Adjiwanou is a professor of Demography and quantitative and computational methods in the Department of Sociology at the Université du Québec à Montréal (UQAM), and adjunct professor at the Department of Demography (Université de Montréal). He is the director of the Laboratoire de recherche sur les dynamiques des populations d’Afrique et de sa diaspora (https://ssapoplab.uqam.ca/). He received an M.A in Statistics from the National School of Statistics and Applied Economics (ENSEA-Cote d’Ivoire), an M.A in Economics of Development at the Centre for Studies and Research on International Development (CERDI- France) and a PhD in Demography from the Université de Montréal (Canada). His research focusses on population issues in sub-Saharan Africa and in Canada, including family dynamics, integration of immigrants and reproductive health. Vissého Adjiwanou has convened sites of SICSS in Cape Town (2018, 2019) and in Montréal (2020, 2021, 2023).
Image of Joshua Becker
Joshua Becker
Joshua Becker is an Assistant Professor at the UCL School of Management researching collective intelligence with an emphasis on group decision-making. Their research has been published in outlets including Science, Management Science, and Harvard Business Review. Joshua has worked professionally in mediation and communication training and has completed hundreds of mediation sessions. Joshua received a PhD in communication from the University of Pennsylvania and received a BA in philosophy and history of science at St. John's College, Annapolis.
Image of Jennie Brand
Jennie Brand
Jennie E. Brand is Professor of Sociology and Statistics at UCLA, where she is also Co-Director of the Center for Social Statistics. She studies social stratification and inequality, mobility, social demography, education, and causal inference and machine learning methods. She is President of the Association of Population Centers, Vice-President of the International Sociological Association Research Committee on Social Stratification and Mobility (RC28), a member of the Board of Directors for the Population Association of America, and a member of the Technical Review Committee for the National Longitudinal Surveys Program at the Bureau of Labor Statistics. She was elected to the Sociological Research Association in 2019 and received the American Sociological Association Methodology Leo Goodman Mid-Career Award in 2016. She has served as the Faculty Organizer for SICSS at UCLA in 2019, 2020, 2021, and 2023.
Image of Chris Callison Burch
Chris Callison Burch
Chris Callison-Burch is Associate Professor of Computer and Information Science at the University of Pennsylvania, with expertise in natural language processing and crowdsourcing. He has more than 100 publications, served on the editorial boards of the journals Transactions of the ACL (TACL) and Computational Linguistics, and received faculty research awards from Google, Microsoft, Amazon, the Sloan Foundation, and DARPA, among others.
Image of Munmun de Choudhury
Munmun de Choudhury
Munmun De Choudhury is an Associate Professor of Computer Science at the School of Interactive Computing at the Georgia Institute of Technology. She employs computational methods to study mental health and psychological well-being using data from social media sites and other digital sources. Her research has appeared in leading journals and conferences, supported by the National Science Foundation and the National Institutes of Health, and distinguished by awards from multiple leading scholarly associations.
Image of Naniette H. Coleman
Naniette H. Coleman
Naniette H. Coleman is a PhD candidate in Sociology at the University of California Berkeley and a multi-year UC-National Laboratory Graduate Fellow (Los Alamos). Her work sits at the intersection of the sociology of culture and organizations and focuses on cybersecurity, surveillance, and privacy in the US context. Specifically, Naniette examines how organizations assess risk, make decisions, and respond to data breaches and requirements for organizational compliance with state, federal, and international privacy laws. Naniette is a SICSS-Princeton 2019 alum and the founder of SICSS-Howard/Mathematica, the first and only summer institute at a Historically Black College or University.
Image of Thomas R. Davidson
Thomas R. Davidson
Thomas R. Davidson is an Assistant Professor of Sociology at Rutgers University - New Brunswick. He studies far-right activism, populist politics, and online hate speech using a variety of computational methods. He is a SICSS-Princeton alum and co-led the first WICSS at the University of Arizona in 2021.
Image of Deen Freelon
Deen Freelon
Deen Freelon is an Associate Professor in the School of Media and Journalism at the University of North Carolina, Chapel Hill. He studies political communication using computational methods applied to datasets from Twitter and other digital platforms. His research has been published in prestigious journals such as Science, supported by the Knight Foundation, and distinguished by leading professional associations.
Image of Ridhi Kashyap
Ridhi Kashyap
Ridhi Kashyap is Professor of Demography and Computational Social Science in the Department of Sociology and Nuffield College at the University of Oxford. She is also affiliated with Oxford’s Leverhulme Centre for Demographic Science. Her research spans different areas within demography, including mortality and population health, gender inequality, family and migration. A central interest of her research has been to leverage computational approaches for demographic research within the growing area of Digital and Computational Demography, and forge links between demography and a growing interdisciplinary community of computational social science. She is the PI of the Digital Gender Gaps project (www.digitalgendergaps.org), which seeks to map global digital gender inequalities and understand the impacts of digitalisation on global sustainable development and gender inequalities. She has co-organized multiple editions of SICSS-Oxford.
Image of Jay Yeon Kim
Jay Yeon Kim
Jae Yeon Kim is a senior data scientist at Code for America, where he contributes to team efforts to improve safety net experiences and outcomes. He is also a research fellow at the SNF Agora Institute and P3 Lab at Johns Hopkins University. Kim earned a Ph.D. in Political Science from UC Berkeley and received the best dissertation award in urban and local politics from the American Political Science Association. Since 2020, he has been working on the Mapping Modern Agora project, which is being incubated at the SNF Agora Institute. This project utilizes big data and machine learning to map civil society in the United States at scale. Kim's research has been published or is forthcoming in many top journals, including Nature Human Behaviour and Scientific Data, among others.
Image of Katherine McCabe
Katherine McCabe
Katherine McCabe is an associate professor of political science at Rutgers University. She applies computational methods to study political psychology, communication, and behavior in American politics. Her work seeks to understand how people’s social identities, attitudes, and personal experiences shape and complicate the ways they engage in politics and make political decisions. She is a SICSS-Princeton alum and co-organizer of SICSS-Rutgers.
Image of Sendhil Mullainathan
Sendhil Mullainathan
Sendhil Mullainathan is the Romans Family Professor of Computation and Behavioral Science at the University of Chicago. A MacArthur “Genius” Fellow, his research examines how machine learning can be used to improve social policies— especially those related to medicine— and uncover biomedical insights from large-scale health data.
Image of Matti Nelimarkka
Matti Nelimarkka
Matti Nelimarkka leads the Helsinki Social Computing Group, an interdisciplinary group examining both computers and society. They explore digital democracy and politics in the digital era as well as computational techniques in social sciences, especially workflows and connections between social science theories and code. He is affiliated with the Faculty of Social Science, University of Helsinki, Department of Computer Science, Aalto University and Futurice, a Finnish software consultancy.
Image of Emmanuel Ọlámíjùwọ́n
Emmanuel Ọlámíjùwọ́n
Emmanuel Ọlámíjùwọ́n is a Lecturer (Assistant Professor) in Data Literacy at the University of St Andrews. His current interdisciplinary research focuses on the drivers of social inequalities (online + offline) and how they shape population health, particularly in sub-Saharan Africa. He is driven to find more accessible ways to communicate with data and share data science skills.
Image of Étienne Ollion
Étienne Ollion
Étienne Ollion is Professor of Sociology at l'École polytechnique and a Research Director at CNRS in Paris, where he leads the CSS initiative. His research focuses on contemporary politics. Methodologically, he integrates computational social sciences (massive digital data and AI) with more classic data sources and methods. He has been teaching computational sciences in the last 10 years, and has convened SICSS-Paris twice.
Image of Jennifer Pan
Jennifer Pan
Jennifer Pan is an Assistant Professor of Political Science, Communications, and Sociology at Stanford University. She studies authoritarian politics using experimental and computational methods with large-scale datasets in China and Saudi Arabia. Her work has been published in prestigious journals such as Science, supported by the National Science Foundation, and recognized by awards from the International Communication Association.
Image of Matthew Salganik
Matthew Salganik
Matthew Salganik is Professor of Sociology at Princeton University, and he is affiliated with several of Princeton's interdisciplinary research centers: the Office of Population Research, the Center for Information Technology Policy, the Center for Health and Wellbeing, and the Center for Statistics and Machine Learning. His research interests include social networks and computational social science. He is the author of the forthcoming book *Bit by Bit: Social Research in the Digital Age.*.
Image of malebo sephodi
malebo sephodi
malebo sephodi (she/they) is a South African Feminist writer and interdisciplinary scholar. She is associated with Tayarisha, a centre for digital governance based at Wits School of Governance; Johannesburg Institute for Advanced Study and the Institute for Pan African Thought and Conversation- both based at the University of Johannesburg and Centre for IT and National Development in Africa (based at the University of Cape Town). She organises postgraduate research support seminars for various African university students. She is a doctoral candidate in the Information Systems Department at the University of Cape Town and is interested in the intersections of society and digital technology. She has organised two SICSS locations.
Image of Duncan Watts
Duncan Watts
Duncan Watts is the Stevens University Professor at the University of Pennsylvania, where he is also professor of Computer and Information Science (SEAS), Communications (Annenberg), and Operations, Information, and Decisions (Wharton). Watts is a founding figure in the field of computational social science. His work in social network theory, collective dynamics, and diffusion models has been cited more than 100,000 times.
Image of Akın Ünver
Akın Ünver
Akın Ünver is an associate professor of international relations at Ozyegin University in Istanbul, Turkey. His research interests lie at the intersection of organized violence and computational research methods. He serves as an associate editor of the Global Studies Quarterly, and a fellow of Carnegie's Digital Democracy Network.
Image of Mike Yeomans
Mike Yeomans
Michael Yeomans is an Assistant Professor in Strategy and Organisational Behaviour at Imperial College Business School. His research uses natural language processing to study conversational decision-making. His work shows how conversation technology can help us understand our decisions with other people, and how to make them better. He has published in many esteemed journals, and is the author of several open-source software packages in the R language. He completed his PhD at the University of Chicago Booth School of Business.



2024


AMU/Law

All Participants


Image of Wojciech Biernacki
Wojciech Biernacki
Wojciech Biernacki is an extramural PhD researcher and cooperator at the European Law Chair at the Faculty of Law and Administration at the Adam Mickiewicz University in Poznań, and an attorney’s assistant. In his research, he focuses on intellectual property rights, mostly copyright, and issues related to data processing and data ownership. He is familiar with the basics of Python, PHP, and MySQL databases.
Image of Paulina Klisowska
Paulina Klisowska
Paulina Klisowska is a graduate at the Faculty of Law and Administration (of AMU). She holds a Master’s degree in European Law and is a third year Law student. She has carried out research on the protection of minor users of social media and was a speaker at the webinar organized under the Jean Monnet Chair Digital Single Market and the Free Flow of Information (dig_INFlow). Her academic interests are focused on the functioning of the artificial intelligence algorithms and their impact on privacy and personal data protection.
Image of Lukasz Szoszkiewicz, PhD
Lukasz Szoszkiewicz, PhD
Lukasz Szoszkiewicz is an Assistant Professor at Adam Mickiewicz University, Data Coordinator within the UN Global Study on Children Deprived of Liberty. A former participant of SICSS-Law 2021 (Maastricht University) and SICSS-AMU/Law organizer in 2022. His research interests include international protection of human rights and data science. Knows basics of Python and has advanced knowledge of SPSS.
Image of Jedrzej Wydra
Jedrzej Wydra
Jędrzej Wydra is a PhD student at the Laboratory of Criminalistics at Adam Mickiewicz University. He holds both a Master's degree in Law and a Master's degree in Mathematics. He completed specialization in Bayesian Statistics overseen by the University of California, Santa Cruz. He is skilled in R and Python programming; he is also certified as a professional data analyst. As a lawyer, he investigates the computational aspects of time-of-death estimation and deontic logic. As a mathematician, he focuses on functional data analysis and modal logic. He participated in over one hundred data science projects.
Image of Kamil Szostak
Kamil Szostak
Kamil Szostak is a recent Computer Science graduate and a 5th year Law student at Adam Mickiewicz University. His fluency in programming includes Python, Java, R, and SQL while his academic interests are focused on Constitutional Law and potential ways of AI application in the legal practice.
Image of Mateusz Mroziński
Mateusz Mroziński
Mateusz Mroziński is a recent graduate at Adam Mickiewicz University. He holds a bachelor's degree in Computer Science. He has intermediate programming skills in Python and web technologies, his interests include data science and artificial intelligence.
Image of Martyna Osztynowicz
Martyna Osztynowicz
Martyna Osztynowicz is a first year Computer Science student at Poznań Univeristy of Technology. She is interested in cybersecurity and plans to continue her studies in this field. She is proficient in Python and C programming.
Image of Joanna Walczak
Joanna Walczak
Joanna Walczak is an IT student at Poznań University of Technology. In her free time, she primarily explores programming through game development, alongside engaging in computer graphics projects like object modeling. She knows the basics of Python and C++ languages.
Image of Krzysztof Jeromin
Krzysztof Jeromin
Krzysztof Jeromin is a fifth-year student of European law at Adam Mickiewicz University. He is currently conducting research on access to encrypted data in information exchange services and its impact on the right to privacy. He presented his research at the LAITech 2024 conference in Estonia. His research interests focus on the impact of new technologies on fundamental rights.
Image of Weronika Łomako
Weronika Łomako
Weronika Łomako is a 5th year student of European Law at Adam Mickiewicz University. Her academic interests are focused on consumer protection on online platforms, especially in context of recommendation systems.

Accra

All Participants


Image of Emmanuel Olamijuwon
Emmanuel Olamijuwon

Emmanuel Olamijuwon is a Lecturer in the School of Geography and Sustainable Development at the University of St Andrews, UK. His research interest lies at the intersection of technology, sexuality, & population health in low-and-middle-income countries. His recent projects combine data from traditional data sources (such as the DHS), with digital traces (Facebook and Twitter) and Online surveys to illuminate the complexity of a number of social and health issues such as knowledge inequality, suicide ideation, as well as sexual and reproductive health.

Image of Fidelia Dake
Fidelia Dake

Fidelia Dake is a Senior Lecturer at the Regional Institute for Population Studies (RIPS), University of Ghana. Her research focuses broadly on population health and international development. Her research interests include nutrition and physical activity, obesity and non-communicable diseases, socio-environmental determinants of health, urban health, health statistics, health-financing and population ageing. She is also interested in using methods in computational social science to study health and lifestyle behaviours including dietary practices, physical activity and travel behaviours.

Image of Yaw Atiglo
Yaw Atiglo

Yaw Atiglo is a Research Fellow at the Regional Institute for Population Studies (RIPS), University of Ghana. His research interests border on population health, population-environment nexus, and population-sustainable development interrrelations, particularly from a gendered perspective. He also seeks to employ complex data systems to explore society-environment interactions and other social issues relevant for sustainable development in sub-Saharan Africa.

Amsterdam

All Participants


Image of Diliara Valeeva
Diliara Valeeva
Diliara is an Assistant Professor in Computational Social Science at the Political science department of the University of Amsterdam. She received her PhD at the Amsterdam School for Social Science Research in 2021. Before joining the UvA, she worked as a postdoctoral researcher at the Geography department of the KU Leuven. Diliara's current research is on business and finance, corporate elites and power, and social networks. Diliara also works as a Lecturer at the BSc program in Computational Social Science at the UvA, and serves as a coordinator at the Social & Behavioral Data Science Center of the UvA, where she consults social scientists in utilizing data science methods, oversees community development, and coordinates funding.
Image of Daniel Mayerhoffer
Daniel Mayerhoffer
Daniel is Assistant Professor in the Bachelor Program Computational Social Science, a member of the Institutions, Inequalities, and Life courses research group in Sociology, and affiliated with the Data Science Centre. He uses Agent Based Simulation, among and in combination with other methods, to explain and predict complex socio-technical systems to enhance their governance. He applies Computational Models mainly to questions in Political Epistemology, Collective Behaviour and Economics. Furthermore, he evaluates these models from an analytical and Philosophy of Science perspective. Daniel's transdisciplinary background facilitates work on various topics and collaboration in diverse teams.
Image of Johannes Aengenheyster
Johannes Aengenheyster
Johannes Aengenheyster is a PhD candidate in the Cultural Sociology programme group at the Sociology Department at the University of Amsterdam. He holds a Bachelor of Arts from University College Maastricht and a Master of Science from the University of Amsterdam. His research investigates the development of the population of private museums in terms of openings and closings, as well as their influence in the canonization of artists. His other interests include the structure and development of classification systems and computational methods.
Image of Marie Labussière
Marie Labussière
Marie Labussière is a postdoctoral researcher at the Department of Sociology at the University of Amsterdam since September 2021. She studies social stratification and mobility using a variety of quantitative methods, including text mining and machine learning. Her current work in the CAREER ERC project focuses on the employment trajectories of workers in the context of changing labor markets, based on a combination of job advertisement data and panel data. Marie is also interested in improving the use and teaching of quantitative methods in the social sciences and is a strong advocate of open science. She holds an engineering degree from the French National School of Statistics and Economic Analysis (ENSAE) and a master's degree in interdisciplinary social sciences.
Image of Gijs Schumacher
Gijs Schumacher
Gijs is an Associate Professor of Political Science at the University of Amsterdam. He is currently co-director of the Hot Politics Lab and the Challenges to Democratic Representation Program Group. In his research he uses psychological perspectives to analyze contemporary politics. He uses a range of different methods from neuroscience, computer science and social science. His work has appeared in journals such as the American Political Science Review, Nature Human Behaviour, Scientific Reports, American Journal of Political Science, Journal of Politics, Political Analysis, European Journal of Political Research, Emotion and Political Psychology.
Image of Reshmi G. Pillai
Reshmi G. Pillai
Reshmi is a PostDoc Researcher at the Department of Communication Science in the Vrije University Amsterdam. She focuses on the adoption and implementation of artificial intelligence techniques, specifically natural language processing, in the context of local journalism. Her current research explores the construction of structured knowledge bases in the context of regional news media organizations in the Netherlands. Previously, she was a Lecturer at the Informatics Institute, University of Amsterdam, in the Master's program in Information Studies (Data Science track). She holds a PhD from the University of Wolverhampton for her thesis on the expressions of psychological stress in tweets.
Image of Rens Wilderom
Rens Wilderom
Rens Wilderom works as a Core Lecturer in Computational Social Sciences at the University of Amsterdam and a Visiting Lecturer at the American University Kyiv. He uses using computational methods to study various cultural phenomena, such as the interplay of styles and organization in the film art world, the development of dance in the US, UK and Netherlands, as well as consumer identities of alternative markets for food.
Image of Rafiazka Hilman
Rafiazka Hilman
Rafiazka Hilman is affiliated with Computational Science Lab (CSL) at the Informatics Institute (IvI) and Institute for Advanced Study (IAS), University of Amsterdam (UvA). She holds a PhD in Network and Data Science from Central European University (CEU). Specialized in Spatial Data Science and Computational Social Science, she focuses on urban dynamics and urban complex system. Currently, she is working on structure and dynamics of multidimensional segregation.
Image of Elisa Omodei
Elisa Omodei
Elisa Omodei is an Assistant Professor at the Department of Network and Data Science at the Central European University. She holds a BSc and a MSc in Physics from the University of Padua and Bologna, respectively, and a PhD in Applied Mathematics for the Social Sciences from the École Normale Supérieure (ENS) of Paris. She carried out her postdoctoral training at the Rovira and Virgili University in Tarragona, Spain. She then spent over four years at the United Nations, first at UNICEF's Office of Innovation in New York and then at the UN World Food Programme in Rome. In her research, she explores how complexity and data science can help us address the needs of the most vulnerable populations and monitor the UN Sustainable Development Goals. She also served as Vice-President Secretary of the Complex Systems Society from 2018 to 2021.
Image of Petter Törnberg
Petter Törnberg
Petter Törnberg is Assistant Professor at the Institute for Language, Logic and Computation at the University of Amsterdam, Associate Professor in Complex Systems at Chalmers University of Technology, NWO VENI laurate, and senior researcher at the University of Neuchâtel. His research focuses on the intersection of AI, social media, and politics, using digital data and computational methods to critically examine the consequences of datafication and platformization.

Atlanta

All Participants


Image of Kat Albrecht
Kat Albrecht
Kat Albrecht is an Assistant Professor in the Department of Criminal Justice and Criminology in the Andrew Young School of Policy Studies at Georgia State University. Dr. Albrecht’s work sits at the intersection of computational social science and law, where she uses innovative computational techniques to study fear, violence, and data distortions. She is particularly interested in the nexus of fear and risk-taking behaviors, digital trace data, and the impact of law on decision-making. She frequently serves as a computational science expert for the defense on active legal cases about life without the opportunity of parole, felony murder, gang enhancements, and the Racial Justice Act. She is presently a Fellow at Georgetown University Law School where she is doing data infrastructure work on court data systems in Tennessee.
Image of Elycia S. Daniel
Elycia S. Daniel
Criminal justice professional skilled in Educational Technology, Training, Adult Education, Public Speaking, and Grant Writing, she has over 20 years of experience teaching in higher education. Her research interests include specific areas of policing such as civilian review boards, female police chiefs, and body-worn cameras. In addition, she is a Program Evaluator for the AUC Data Science Institute.
Image of Talitha Washington
Talitha Washington
Dr. Talitha Washington is the inaugural Director of the Atlanta University Center (AUC) Data Science Initiative, a Professor of Mathematics at Clark Atlanta University and an affiliate faculty at Morehouse College, Morehouse School of Medicine, and Spelman College. She is the Director and lead principal investigator of the NSF-funded National Data Science Alliance (NDSA) and the President of the Association for Women in Mathematics. She works across Historically Black Colleges and Universities (HBCUs) to increase the number of Blacks with expertise in data science and expand data science research that advocates for social justice.

Barcelona

All Participants


Beijing

All Participants


Image of Fang Luo
Fang Luo
Professor Fang Luo serves as the Deputy Dean and Professor at The Faculty of Psychology at Beijing Normal University, and she also holds positions as the Vice Chairman of the Educational Statistics and Measurement Branch of the China Educational Technology Association and Secretary-General of the Psychological and Educational Statistics and Measurement Branch of the Chinese Society of Education. She has long been engaged in interdisciplinary research between artificial intelligence and psychology. Her current research interests include the development of human-computer interaction tests combining artificial intelligence and psychometrics, process data mining, and the development and application of educational tests based on large models. She has published nearly 100 papers and received more than twenty grants from the National Natural Science Foundation of China and the Social Science Fund, among others.
Image of Matthew J. Salganik
Matthew J. Salganik
Matthew Salganik is Professor of Sociology at Princeton University. He is also affiliated with several of Princeton's interdisciplinary research centers including the Office of Population Research and the Center for Statistics and Machine Learning. His research interests include social networks and computational social science. He is the author of Bit by Bit: Social Research in the Digital Age.
Image of Xing Xie
Xing Xie
Dr. Xing Xie is a senior principal researcher at Microsoft Research Asia and a part-time doctoral supervisor at the University of Science and Technology of China. He leads a research team dedicated to data mining, social computing, and responsible artificial intelligence. His academic achievements include receiving the ACM SIGSPATIAL 10-Year Impact Award and the China Computer Federation (CCF) Young Scientist Award in 2019, the ACM SIGSPATIAL 10-Year Impact Honorable Mention in 2020, the ACM SIGKDD China Test-of-Time Paper Award in 2021, the ACM SIGKDD Test-of-Time Paper Award in 2022, the IEEE MDM Test-of-Time Paper Award and the CCF Natural Science First Prize in 2023, and he was named a DeepTech Pioneer in China's Intelligent Computing Technology Innovation. He is a Fellow of the ACM, IEEE, and the China Computer Federation (CCF).
Image of Yankai Lin
Yankai Lin
Yankai Lin is an appointed Assistant Professor at Renmin University of China, he obtained his Bachelor's and Ph.D. degrees from Tsinghua University in 2014 and 2019, respectively. After completing his doctorate, he served as a Senior Researcher at Tencent WeChat before joining Renmin University of China as an Assistant Professor in 2022. His primary research interests include pre-trained models and natural language processing. He has published over 40 papers at top international conferences in natural language processing and artificial intelligence, such as ACL, EMNLP, NAACL, AAAI, IJCAI, and NeurIPS, with more than 9,000 citations according to Google Scholar and an H-index of 27. Three of his representative works on structured knowledge of natural language processing were summarized in "Methods for Structured Knowledge Representation Learning" and received the First-Class Natural Science Award from the Ministry of Education. Additionally, his contributions to the field are evidenced by the open-source toolkits OpenKE and OpenNRE, which have garnered over 6,400 stars on Github, becoming mainstream tools in knowledge-driven natural language processing internationally. He has also served as an area chair for conferences like EMNLP and ACL ARR.
Image of Xiting Wang
Xiting Wang
Xiting Wang is an appointed assistant professor at Renmin University of China, graduated with a Bachelor's and Ph.D. from Tsinghua University, and formerly the lead researcher of the Social Computing Group at Microsoft Research Asia (MSRA). Her research interests lie in explainable and responsible artificial intelligence, with related research achievements implemented in Bing, the world's second-largest search engine. Two of her papers were selected as cover articles by the CCF-A category journal TVCG. She has been invited to serve as an area chair for IJCAI and AAAI, joined the IEEE VIS organizing committee as the archive chair, and serves on the editorial board of Visual Informatics. She was recognized as an Outstanding Senior Program Committee member at AAAI 2021. She has twice been invited to deliver keynote speeches at the SIGIR Workshop on Explainable Recommendation, and she is a senior member of both CCF and IEEE.
Image of Lei Cao
Lei Cao
Dr Lei Cao received his Ph.D. from the Department of Computer Science and Technology at Tsinghua University. He is a lecture at The Faculty of Psychology at Beijing Normal University. His research interests are in artificial intelligence and mental health, such as a method for detecting users' extreme mental states based on deep learning and real-time assessment of students' learning status in the classroom.
Image of An Zeng
An Zeng
An Zeng is a Full Professor in the School of Systems Science at Beijing Normal University. His research combines statistical physics and computer science to exploit the opportunities and promises offered by Big Data. The tools of network science are employed to better understand and predict social interactions, human mobility, and research behavior. So far, Professor Zeng have published about 50 papers and received over 2000 citations.
Image of Kondwani Kajera Mughogho
Kondwani Kajera Mughogho
Kondwani Kajera Mughogho joined the Psychometrics Centre in May 2023 as a Psychometrician. He holds a PhD in Educational Measurement from the University of Oslo. Prior to joining the Psychometrics Centre, Kondwani worked as a Psychometrician at the National Foundation for Educational Research (NFER). He was a member of the team responsible for conducting psychometric analysis on the Office of Qualifications and Examinations Regulation’s (Ofqual’s) National Reference Test (NRT). Additionally, Kondwani contributed to psychometric analysis for NFER's new e-Assessments, evaluated various questionnaires and research instruments, and reviewed and updated technical reports.
Image of Luning Sun
Luning Sun
Dr Luning Sun is Research Director of The Psychometrics Centre and Research Associate in the Organisational Behaviour subject group at the Cambridge Judge Business School. He received his PhD in psychometrics from the Department of Psychology, University of Cambridge in 2014. Dr Sun is a highly experienced psychometrician and researcher, having led many international research collaborations to advance the field of psychological and behavioural measurement. His research focuses on the new forms of assessment that are enabled by the advancements in psychometric theories and techniques. He is also interested in the evaluation of AI systems such as Large Language Models.
Image of Diyi Yang
Diyi Yang
Diyi Yang is an assistant professor in the Department of Computer Science at Stanford University, her research interests include natural language processing, machine learning, and computational sociolinguistics, with a focus on computational social science and natural language processing. She is dedicated to combining NLP, machine learning, and social sciences to study how humans use language in social contexts and to develop advanced language technologies to facilitate better human-computer interaction. Her work includes the novel integration of artificial intelligence technologies and social science theories. She has been recognized in Forbes' "30 Under 30 in Science" in 2020, IEEE's "Top 10 AI Rising Stars" in 2020, MIT Technology Review's "Innovators Under 35" in China in 2021, and as an outstanding student in the "Top-notch Student Training Program in Basic Disciplines 2.0" by the Ministry of Education in 2021.
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David Stillwell
Prof David Stillwell is Academic Director of The Psychometrics Centre at the University of Cambridge. He is also Professor of Computational Social Science and Deputy Director of the MBA programme at the Cambridge Judge Business School. He earned his PhD in Decision Making from the School of Psychology at the University of Nottingham in December 2012. His research interests include psychometrics, psychology, decision-making, and social networks. Prof Stillwell uses big data to understand psychology, and also does consultancy on the topics of psychometrics, and people analytics. His research has been cited by many governments’ national data protection regulators worldwide.
Image of José Hernández-Orallo
José Hernández-Orallo
José Hernández-Orallo is Professor at the Universitat Politècnica de València, Spain and Senior Research Fellow at the Leverhulme Centre for the Future of Intelligence, University of Cambridge, UK. His academic and research activities have spanned several areas of artificial intelligence, machine learning, data science and intelligence measurement, with a focus on a more insightful analysis of the capabilities, generality, progress, impact and risks of artificial intelligence. He has published five books and more than two hundred journal articles and conference papers on these topics. He is a member of AAAI, CLAIRE and ELLIS, and a EurAI Fellow.
Image of Yong Li
Yong Li
Yong Li is an associate professor and Ph.D. supervisor in the Department of Electronic Engineering at Tsinghua University. He has long been engaged in research in data science and intelligence, serving as the principal investigator for key projects funded by the National Natural Science Foundation and national key R&D programs. His research has resulted in over 150 academic papers published in international conferences and journals such as KDD, NeurIPS, WWW, and UbiComp, with more than 16,000 citations, and has won Best Paper/Nomination awards at international conferences six times. He has been recognized as a Ministry of Education Chang Jiang Scholars Program, a global "Highly Cited Researcher", and a national "Ten Thousand Talent Program" young top-notch talent. He has received the IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award, the Ministry of Education's First Prize for Scientific and Technological Progress, the Second Prize of the Natural Science Award from the Chinese Institute of Electronics, and the Wu Wenjun AI Excellence Award for Young Scientists.
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Peter Romero
Peter Romero leads the Centre's research projects and educational programmes in the field of people analytics, and is currently a researcher at Keio University in Tokyo. Being educated in Hamburg, Tokyo, and Cambridge, he has extensive teaching experience at undergraduate and graduate level as well as in senior executive programmes. Peter has 20 years of experience in the talent business, of which he spent six years in R&D, and fourteen in consultancy. He has overseen several global People Analytics projects in cooperation with People Analytics functions from top organisations. He is a founding member of Advanced Cognition Labs, an interdisciplinary institute focusing on research in the area of Artificial Intelligence.

Berlin

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Lena Hipp
Head of the Work & Care research group at the WZB Berlin Social Science Center and professor of Social Inequality & Social Policy at the University of Potsdam. Researchess social inequalities related to paid and unpaid care work and relies on a broad spectrum of methods and data, including survey, experimental, and digital data.
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Stefan Munnes
Sociologist and research fellow in the Work & Care research group at the WZB Berlin Social Science Center. Interested in all kinds of social inequalities, currently researching gender inequalities and antisemitism. Furthermore, mainly engaged in computational methods, such as (automated) text analysis and graphical illustrations. Likes to share this knowledge and ask new questions and work through challenges in a team. ast year, he participated in SICSS Lisbon.
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Armin Sauermann
Armin Sauermann is a researcher at the WZB Berlin Social Science Center. He recently completed his Sociology Masters at the University of Potsdam and will pursue his PhD. Armin analyzes large-scale observational data and is learning to collect and analyze internet-based data to study group processes and political extremism. Last year, he participated in SICSS Helsinki.

Bologna

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Filippo Andreatta
Filippo Andreatta teaches International Politics and Strategic Studies at the University of Bologna, where he is currently chair of the Department of Political and Social Science.
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Giampiero Giacomello
Giampiero Giacomello is Associate Professor of Political Science. His research interests include strategic theory (mostly Clausewitz), cybersecurity and wargaming and simulation. He has extensively published on all of these topics.
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Marco Albertini
Marco Albertini is Full Professor at the University of Bologna. His research interests focus on intergenerational relations; the consequences of separation and divorce; the comparative study of income inequality and social stratification; the consequences of childlessness; long-term care policies and ageing.
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Matthew Loveless
Matthew Loveless is an Associate Professor in the Department of Political and Social Sciences at the University of Bologna. He investigates how individuals make sense of politics in Europe, focusing on public opinion, media use, and perceptions.
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Aidar Zinnatullin
Aidar Zinnatullin is a PhD student in the Department of Political and Social Sciences at the University of Bologna. He studies how political discussions evolve in the context of authoritarian politics. In the research project, Aidar uses quantitative text analysis techniques and causal inference identification strategies.
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Riccardo Omenti
Riccardo Omenti is a first-year PhD student in Statistics at the University of Bologna. His research interests concern the study of quantitative methods for the social sciences as well as the implementation of statistical techniques that allow to turn the traces people leave on social media and on the internet into data suitable for demographic research. During his PhD, Riccardo will develop statistical techniques to study the evolution of fertility, mortality and migration in family networks using internet-based genealogies as part of the ERC project “Genes, genealogies and the evolution of demographic change and social inequality.
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Giulio Cantone
Giulio Giacomo Cantone is a PhD. Student in Complex Systems at University of Catania. He also spent 8 month at Indiana University in the NaN [https://cnets.indiana.edu/groups/nan/people/] Research Group on Disinformation. His research background is in quantitative and simulation studies regarding commercial and political disinformation in online reviews (Review Bomb). His current interests are in Metascience and Sociology of Science, about disinformation and epistemic crises in scientific literature. In particular, his technical interests are in the sensitivity to data dredging in mainstream models of statistical regression.

Calabar

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Inyang, Juliet John

Inyang, Juliet is a co-founder of Academic Hive and an academic staff at the Department of Marketing, University of Calabar. Her research interest is in the areas of consumer culture, service innovation, process improvement, higher education, digital transformations and sustainable development. Specifically, she is interested in combining computational, quantitative and qualitative methods to unravel key insights about human behaviour in society. Juliet participated in the 2022 SICSS-Paris location.

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Grace Ihejiamaizu Paul-Anietie

Grace Ihejiamaizu is a co-founder of Academic Hive and an academic staff (Lecturer II) at UNICAL. She is currently undertaking her PhD in North America. Her research interest is in improving the lives of women social entrepreneurs in Nigeria through employability, entrepreneurship and digital skills.

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Inyang, John Okiri

John is a postgraduate student and early-career faculty at the Department of Economics, University of Calabar. He is a researcher and project manager with a keen interest in health economics, development economics and public sector economics research.

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Otobi,Augustine Ogbaji

Augustine is an avid researcher who loves to use computational tools to investigate the WHY, WHEN, WHERE and HOW of events, patterns and systems represented by numbers and other data structures. He is a postgraduate student in the department of Computer Science and his research area is in Data Science/Machine Learning. His research spans climate-related issues, fraud and risk prediction in insurance, expert systems and distributed databases. Augustine participated in the 2022 SICSS-Covenant location.

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Professor Bassey Igri Okon

Bassey Igri Okon is a Professor of Animal Science (specialization- Animal Production) and currently the Director of Research and Development at the University of Calabar. Bassey takes pleasure in guiding and facilitating trainings and group activities of young academics and researchers at the University of Calabar.

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Professor Enang Udah

Enang Udah is a Professor of Economics with expertise in Econometrics, Macro Economics and Development Economics. He is currently the Dean of the Faculty of Social Sciences and has served as a consultant to various local and international organizations including Cross River State government, EU-SRIP, NEWMAP, Tuning Africa project sponsored by the European Union in collaboration with the African Union.

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Professor (Mrs.) Grace Etuk

Grace Etuk is a Professor of Sociology and social works with an interest in women productivity and technological empowerment. She is currently the Head of the Department of Social Works and has served as a resource person to several professional and governmental bodies including the Nigerian Naval War College and the Niger Delta Development Commission.

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Elijah Appiah

Elijah Appiah is an Economist and Data Scientist who loves using data to solve economic problems. With expertise in econometric modeling and data science, he has trained numerous students worldwide in the field of data science. Elijah is proficient in various data science tools, including but not limited to Python, R, SQL, Tableau, and TensorFlow, enabling him to employ advanced data analytics and machine learning techniques. He is currently a Ph.D. Economics student at the National Institute of Development Administration (NIDA) in Bangkok, Thailand. Elijah has authored books, namely, “Data Analysis with R Programming” and “Simplified Mathematical Economics”.

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Dr. Idongesit Efaemiode Eteng

I am Dr. Idongesit Efaemiode Eteng, an accomplished academic and researcher with a Ph.D. from the University of Ibadan, Nigeria's premier institution. With over 17 years of teaching experience, I have had the privilege of imparting knowledge to students from diverse backgrounds. My publication record and international research presentations in Ghana, Scotland, London, and the USA underscore my global academic presence. I specialize in Software Engineering, Data Science, Machine Learning, and Formal Methods, with a particular focus on health and education applications, reflecting my commitment to real-world problem-solving. Some of my notable projects include collaboration tools for academia-industry partnerships and medical support tools for health issues. Proficient in programming languages like Java, Python, and R, I am also known for my excellence in public speaking, and I have recently published a novel titled 'THE CALL,' adding a creative dimension to my professional portfolio.

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Participant 2024
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Image of Joseph David
Joseph David

Joseph David is Research and Teaching Assistant at Lagos Business School, Pan-Atlantic University, Lagos. He is also a Research Associate at the Centre for Economic Policy and Development Research (CEPDeR), Nigeria. Joseph’s research interest revolves around development economics, public finance, corruption, energy economics, and the economics of crime (with a bias in money laundering). His current research focuses on determining the quantum, flows, and laundering of illicit funds associated with criminal and illegal activities such as grant corrupt practices, kidnapping, terrorism, and tax evasion, amongst others, in Nigeria, Africa, and the United Arab Emirates (UAE). Joseph participated in the 2022 SICSS-Covenant.

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Sven Lampe

Sven Lampe works as a research assistant at the University of Oldenburg. He holds a two-subject bachelor's degree in computer science and German studies as well as a master's degree in computer science. He is currently project coordinator for research field 1 in the joint project Wärmewende Nordwest (Heat Turnaround Northwest), in which he is working on reducing heat losses in residential buildings. He was teaching assistant in 2022 for SICSS JIAS/IPATC and in 2023 for SICSS IPATC, both at the University of Johannesburg.

Chicago

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Image of Binglu Wang
Binglu Wang
Binglu Wang is a Ph.D. candidate in Management & Organizations (MORS) at the Kellogg School of Management, Northwestern University, with affiliations at the Center for Science of Science and Innovation (CSSI) and the Northwestern Institute on Complex Systems (NICO). Her scholarly inquiry centers on Innovation & Science, Cross-Cultural Evaluation, and Social Networks. Employing computational methodologies alongside field experiments, her current research endeavors aim to understand how social learning mechanisms—such as observation, feedback, cooperation, and cultural transmission—facilitate or obstruct the processes of innovation incubation and evaluation within the realms of Science, Culture, and Entrepreneurship, drawing on large-scale archival and experimental data. She received her bachelor's degree in Information Management and Information Systems from Peking University in 2019. Binglu is also a 2021 SICSS alum.
Image of Ji Hae Choi
Ji Hae Choi
Ji Hae Choi is a Ph.D. student in Management & Organizations (MORS) at the Kellogg School of Management, Northwestern University, with affiliations at the Northwestern Institute on Complex Systems (NICO).
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Yingdan Lu
Yingdan Lu (PhD, Stanford University) is an Assistant Professor of Communication Studies in the School of Communication at Northwestern University. Her research focuses on digital technology, political communication, and information manipulation in authoritarian and democratic contexts. Her research employs both computational and qualitative methods to understand how authoritarian governments use digital media and artificial intelligence to maintain their rule, and how individuals experience visual media in different media environments. Her work has appeared in peer-reviewed journals such as Political Communication, New Media & Society, Human-Computer Interaction, Computational Communication Research, and among other peer-reviewed journals. For more information, see her website: https://yingdanlu.com/.
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Damon Centola
Damon Centola is the Elihu Katz Professor of Communication, Engineering and Sociology at the University of Pennsylvania where he is Director of the Network Dynamics Group and a Senior Fellow at the Leonard Davis Institute of Health Economics. His research centers on social networks and behavior change. Damon’s work has received numerous awards including the Goodman Prize for Outstanding Contribution to Sociological Methodology in 2011; the James Coleman Award for Outstanding Research in Rationality and Society in 2017; and the Harrison White Award for Outstanding Scholarly Book in 2019.  He was a developer of the NetLogo agent based modeling environment, and was awarded a U.S. Patent for inventing a method to promote diffusion in online networks. He is a member of the Sci Foo community and Fellow of the Center for Advanced Study in the Behavioral Sciences at Stanford University. His work has been funded by the National Science Foundation, the Robert Wood Johnson Foundation, Facebook, the National Institutes of Health, the James S. McDonnell Foundation, and the Hewlett Foundation. Popular accounts of Damon’s work have appeared in The New York Times, The Washington Post, The Wall Street Journal, Wired, TIME, The Atlantic, Scientific American and CNN, among other outlets.  His speaking and consulting clients include Amazon, Microsoft, Apple, Cigna, the Smithsonian Institution, the American Heart Association, General Motors, the National Academies, the U.S. Army and the NBA. He is a series editor for Princeton University Press, and the author of How Behavior Spreads: The Science of Complex Contagions (Princeton, 2018), and Change: How to Make Big Things Happen (Little Brown, 2021).
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Solène Delecourt
Solène Delecourt is an assistant professor in the Management of Organizations Group at the Haas School of Business. She earned her PhD at the Stanford Graduate School of Business. She also holds a master’s degree in Economics and Public Policy from Sciences Po Paris and École Polytechnique. Delecourt studies inequality in business performance using large-scale field experiments and novel survey data. Her research agenda focuses on what drives variation in profits across firms and how we could reduce inequality in business performance among entrepreneurs in different market settings, including India, Uganda, and the US.
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Matt Groh
Matt Groh is a Donald P. Jacobs Scholar and Assistant Professor of Management and Organizations. His research examines the dynamics of human-AI collaboration in deepfake detection, medical diagnosis, and empathic communication. Professor Groh's research has been published in Proceedings on National Academy of Science (PNAS), Nature Medicine, Science, Computer Supported Collaborative Work (CSCW), Affective Computing and Intelligence Interactions (ACII), and Communications of the ACM among other journals and conferences. His work has been featured in the popular press including The New York Times, Wall Street Journal, Science, Scientific American, NPR, Le Monde, Aeon, and Fast Company. Professor Groh received his BA from Middlebury College with a major in economics and minors in mathematics and Arabic and received his MA and PhD in Media Arts and Sciences from MIT.
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Manling Li
Manling Li is an assistant professor at the Computer Science department of Northwestern University and a postdoc at Stanford Vision and Learning Lab. She obtained her Ph.D. in Computer Science at University of Illinois Urbana-Champaign. At the core of her research in Knowledge Foundation Models, she aims to equip machines with factual knowledge extraction and reasoning from multimodal data (Language + X, where X can be images, videos, robotics, audio, etc). The ultimate goal of her research is to promote factuality and truthfulness in information access, through a structured knowledge view that is easily explainable, highly compositional, and capable of long-horizon reasoning. Her work on multimodal knowledge extraction won the ACL'20 Best Demo Paper Award, and the work on scientific information extraction from COVID literature won NAACL'21 Best Demo Paper Award. She was a recipient of Microsoft Research PhD Fellowship in 2021. She was selected as a DARPA Riser in 2022 (nominated by DARPA), and an EE CS Rising Star in 2022. She was awarded C.L. Dave and Jane W.S. Liu Award, and has been selected as a Mavis Future Faculty Fellow.
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Sameer Srivastava
Sameer B. Srivastava is the Ewald T. Grether Professor of Business Administration and Public Policy at UC Berkeley's Haas School of Business and is also affiliated with UC Berkeley Sociology. His research uses computational methods to: (1) unpack the complex interrelationships between group culture, individual cognition, and interpersonal networks; and (2) examine how they jointly relate to individual attainment and organizational performance. He is Organizations Department Editor at Management Science and was previously a Senior Editor at Organization Science. Sameer co-directs the Berkeley Center for Workplace Culture and Innovation and the Berkeley-Stanford Computational Culture Lab. Sameer was previously a partner at a global management consultancy (Monitor Group; now Monitor Deloitte). He holds AB, AM, MBA, and PhD degrees from Harvard University.
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Brian Uzzi
Brian Uzzi is the Richard L. Thomas Professor of Leadership at the Kellogg School of Management, Northwestern University. He also co-directs the Northwestern Institute on Complex Systems (NICO), and holds professorships in Sociology and the McCormick School of Engineering. He has been on or visited the faculties of INSEAD, Chicago, Harvard, and Berkeley. His work has received 17 teaching prizes and 15 scientific research prizes worldwide in the social, physical, and computer sciences. His research uses social network science and computational methods to explain outstanding human achievement.
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Rob Voigt
Rob Voigt is an assistant professor of linguistics and computer science (by courtesy) at Northwestern University, where he directs the Linguistic Mechanisms Lab. He is interested in natural language processing, social meaning, sociophonetics and interactional variation, Chinese and Japanese linguistics, gesture and embodiment, and applications of linguistic research to social good. He is particularly interested in using computational methods to understand the linguistic mechanisms of social problems. Professor Voigt received his PhD in Linguistics from Stanford in 2019, where he was a postdoctoral scholar in Computer Science in 2020.
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Dashun Wang
Dashun Wang is a Professor at the Kellogg School of Management and McCormick School of Engineering at Northwestern University. At Kellogg, he is the Founding Co-Director of the Ryan Institute on Complexity and the Founding Director of the Center for Science of Science and Innovation (CSSI). He is also a core faculty at the Northwestern Institute on Complex Systems (NICO). His current research focus is on Science of Science, a quest to turn the scientific methods and curiosities upon ourselves, hoping to use and develop tools from complexity sciences and artificial intelligence to broadly explore the opportunities for innovation and promises of prosperity offered by the recent data explosion in science. Dashun is a recipient of multiple awards for his research and teaching, including the AFOSR Young Investigator award, Poets & Quants Best 40 Under 40 Professors, Complex Systems Society’s Junior Scientific Award, the Erdos-Renyi Prize, Thinkers50 Radar, and more.
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Nandini Banerjee
Nandini Banerjee is a Ph.D. student in the Computer Science and Engineering department at the University of Notre Dame. With a keen interest in the intersection of technology and human behavior, Nandini's research focuses on studying disruption in citation networks to understand how scientific knowledge evolves and how innovation is fostered within academic communities. Her work aims to unravel the complexities of scientific collaboration, particularly by understanding the characteristics and dynamics of scientific teams. Beyond her academic pursuits, Nandini likes to dabble in art in different mediums.
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Mitali Banerjee
Mitali Banerjee is an Assistant Professor in the Strategy & Organizations department at the McGill Desautels Faculty of Management. Her research uses tools from computer vision, natural language processing and social network analysis in unique empirical contexts such as modern and jazz to examine the valuation of creative production. Her work has been published in the Academy of Management Journal and the Proceedings of the National Academy of Sciences. She completed her Ph.D. in Management from Columbia University. She graduated Summa Cum Laude, Phi Beta Kappa with a double major in Mathematics (BS) and Economics (BA) from the University of Rochester.
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Shambhobi Bhattacharya
I am a third-year Ph.D. student in the Department of Industrial Engineering and Management Sciences at Northwestern University, working under the guidance of Professor Hyejin Youn. My research delves into the governance mechanisms of online platforms, focusing on moderation by humans and bots and the formulation of rules on platforms such as Reddit and Wikipedia. My goal is to decipher the regulatory landscapes of these platforms to develop effective organisational policies and improve platform governance. My interests lie at the intersection of organisational science, user behavior, and regulation. Over the past three years, I have honed my skills in complexity science, applying a range of methodologies from traditional econometrics to scaling theory to explore regulatory dynamics and their impacts on online communities. Looking forward to meeting and learning together!
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Pietro Bonaccorsi
Pietro Bonaccorsi is a PhD candidate in Strategic Management at the University of Toronto - Rotman School of Management. His research interests revolve around the social underpinnings of creativity and innovation – with a particular attention to the generation and evaluation of novelty in creative industries, and the intersection of networks and culture. Pietro holds undergraduate and Masters' degrees in Economics from the University of Pisa and the Sant'Anna School of Advanced Studies.
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Christian Caballero
Christian Caballero is a Political Science PhD student at the University of California, Berkeley. His research focuses on American politics and political behavior. In particular, he studies the ways in which social networks influence processes of political persuasion and how political ideologies develop within subcultures. He holds a B.A. in Political Science and Sociology from New York University.
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Liang Cai
Liang Cai is a PhD candidate in Sociology at the University of Chicago (expected to graduate spring 2025). His research interest centers on how human behaviors are shaped by social and physical contexts and how causally relevant contexts should be defined. His recent work has explored activity space exposures, income segregation around the clock, and spatio-temporal patterns of crime. His ongoing projects examine 1. the spatial decision-making process and its social context in activity space, 2. how mobility patterns factor into individuals' rural/urban living experiences, and 3. how social scientists can leverage computer vision AI to decipher local social ecology from street view images. My work integrates perspectives from urban sociology, decision science, geography, criminology, data science, and more.
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Likun Cao
Hi! I am Likun, a Ph.D. student in sociology at the University of Chicago. I am a member of Knowledge Lab, advised by Professor James Evans. My current work focuses on science & technology innovation and its social impacts. I am curious about the social and organizational conditions by which new things emerge and evolve, and how innovations influence business competition and social structures.
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Lautaro Cella
Lautaro Cella is a PhD Candidate in Political Science at the University of Chicago, specializing in comparative politics and quantitative methods. His research interests include comparative political behavior, redistributive politics, and democratic erosion, with a regional focus on Latin America. His dissertation examines the determinants of anti-establishment attitudes and protest behavior among voters. His research employs survey experiments, semi-structured interviews, and text-as-data methods.
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Rochana Chaturvedi
I am a Ph.D. candidate at the Natural Language Processing Lab, University of Illinois Chicago. My research focuses on understanding the latent patterns in evolving textual narratives with applications such as modeling individual health trajectories using clinical notes from multiple patient visits. I combine these notes with structured data and medical knowledge graphs for precise modeling. I also examine temporal trends in polarization based on the content people post online and how to reduce it to foster healthier communities.
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Jinkyong Choi
Jin Choi is a Ph.D candidate at Columbia Business School. She is interested in innovation and entrepreneurship.
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Hongbo Fang
Hongbo Fang obtains his PhD from the School of Computer Science at Carnegie Mellon University, and will soon join the University of Chicago as a postdoctoral scholar. During his PhD, he studies networks of open-source software developers and explores innovation and sustained participation in open-source context. He is also broadly interested in the general topics of computational social science, science of science and innovation.
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Brandon Freiberg
I'm a Ph.D. candidate at Columbia University. My work lies at the intersection of behavioral strategy, entrepreneurship and innovation. For example, my research has investigated the relationships between founder personality traits and startup success, social movements and venture investor behavior, political polarization and startup hiring, and natural disasters and support for green technologies. I often use a combination of computational and econometric approaches in my research, but have also conducted experiments and am open to whatever methodology best suits the research question or phenomenon. I'm also excited by complexity and collective information processing.
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David Gamba
Hi, I'm David Gamba, a second-year Ph.D. student in Information Science at the University of Michigan, working with Daniel Romero and Grant Schoenebeck. My research explores the interplay between individual choices and collective phenomena, focusing on political polarization, social preferences, and ideological bubbles. I aim to understand how personal actions influence and are influenced by group behaviors and community decision-making. Using network science perspectives and mechanism design, I analyze these complex dynamics. Additionally, I am interested in examining the limits of addressing issues such as polarization at both the individual and collective levels.
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Fatima Gaw
Fatima Gaw is a Media, Technology and Society PhD student at Northwestern University University, working with Dr. Erik C. Nisbet and in the Center for Communication and Public Policy. She investigates how digital media logics, platforms, and ecosystems shape contemporary politics, with a focus on the Global South. Her research focuses on the cross-platform analyses of propaganda, disinformation, and elections on social media using computational methods and qualitative field methods. Fatima has a Master’s degree in Digital Communication and Culture from the University of Sydney, and a Bachelor’s degree in Broadcast Communication from the University of the Philippines.
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Mengdi Huang
Mengdi is a third-year PhD candidate in Social Psychology at Northwestern University. Her interests lie at the intersection of self, social network, and psychological well-being. Specifically, she is curious about how group experiences can shape and be shaped by our identities and self-concepts.
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Bekhzod Khoshimov
Postdoctoral Fellow at the Wisconsin Institute of Discovery at UW-Madison. Incoming assistant professor at New York University Abu Dhabi. In my research, I study determinants of early-stage entrepreneurial success and factors that affect the supply of entrepreneurs in society. Before my Ph.D., I did a master’s in Economics at the University of Wisconsin and a bachelor’s in Applied Mathematics at Nanyang Technological University.
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Yuhan Li
Yuhan Li is a Ph.D. student in Communication and Media at the University of Michigan. Her research focuses on science communication and computational social science. She uses computational (including analysis of texts, visuals, and audio data) and experimental methods to study public understanding of science (e.g., climate change, scientists) and technologies (e.g., AI, social media affordances) and how people's understandings of science drive their perceptions, attitudes, and behaviors toward risks.
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Zihang Lin
Zihang Lin is a Ph.D. student in the Department of Industrial Engineering & Management Sciences at the McCormick School of Engineering at Northwestern University, with affiliations at Kellogg Center for Science of Science & Innovation (CSSI) and Northwestern Institute on Complex Systems (NICO). His research interests encompass computational social science, science of science, and innovation. Recently, his endeavors have been concentrated on extensive data analyses with advanced deep learning techniques, in a quest to achieve a deeper understanding of science and innovation, especially in accelerating the translational impact and bridging the gap from previous scientific knowledge to tomorrow's technological breakthroughs.
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Nyx Ng
Nyx L. Ng is a Social-Personality Psychology PhD candidate at the University of Texas at Austin. Her primary lines of research seek to uncover the mechanisms underlying (a) moral judgments and perceptions and (b) susceptibility to misinformation. Her recent works examine moral misperceptions and partisan biases in truth judgments as potential sources of political polarization in the United States. Her research primarily employs computational modeling approaches and involves conducting lab and online studies using observational and experimental methods. Nyx earned her MSc from University College London and BBM from Singapore Management University, and she is a recipient of the University of Texas at Austin’s University Graduate Continuing Fellowship.
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Charlotte O'Herron
Charlotte O’Herron is a Doctoral Student in Sociology & Social Policy at Harvard University. Her research interests include labor market inequality, gender, race, and culture. Before starting her Ph.D., Charlotte received a Master in Public Policy from the Harvard Kennedy School.
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Katherine O'Toole
In my research, I investigate how technological affordances can facilitate creativity for both individuals and groups. My work aims to develop computational models of the processes involved in collective creativity and cultural evolution, and to examine Human-Computer Interaction in order to identify ways in which technology can be leveraged to support creativity both in individual and collaborative settings. In my work, I utilize data science, machine learning, statistical modeling, and social network analysis to explore the multifaceted dimensions of human-computer interactions and to identify ways to design technical tools and platforms that can support creative expression and collaboration, with a particular focus on music. I am particularly interested in examining the dynamics of co-creative behaviors within socio-technical systems, and my work leverages digital trace data to investigate how distributed creativity emerges as individuals extend and build on existing knowledge within a domain.
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Haohan Shi
Haohan Shi is a Ph.D. student in the Media, Technology, and Society program at Northwestern University. At Northwestern, he collaborates in the Lab on Innovation, Networks, and Knowledge under the guidance of Dr. Agnes Horvat. He is broadly interested in the science of science, retraction, online democracy, misinformation, computational social science, and AI for social good. His work focuses on advancing online scholarly communication and promoting the democratization of science through digital science dissemination. He holds an M.A. in Computational Social Science from the University of Chicago and a B.S. in Mathematics/Computer Science and Psychology/Linguistics from Emory University.
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Hui Sun
I am an assistant professor at the Frankfurt School of Finance & Management. My research focuses on cognitive and communicative mechanisms in strategy-making, organization design, and social network mobilization.
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Jung Hyo Sun
Jung-Hyo is a doctoral student in management at INSEAD. His research focuses on the adoption and uses of technological innovations through the lenses of organization theory. He is particularly interested in understanding when and how firms use social media to achieve multiple functional goals, applying computational methods and using Twitter as an empirical context. Before pursuing his PhD, he worked in the R&D center of an automobile company, where he gained industry experiences. In addition to his academic interests, he enjoys playing European football and riding bikes.
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Shinan Wang
Shinan Wang is a doctoral student in Management and Organization and Sociology at the Kellogg School of Management, Northwestern University. She is currently exploring how broad societal factors—such as social structure, networks, and culture—shape micro-level labor market practices, including organizational job design and individual careers. She is also interested in understanding how these factors contribute to workplace inequality. Currently, she is working on projects examining the influence of social trust, kinship, and nationalism on cross-country differences in labor market practices. Before graduate school, she was a research associate at Harvard Business School, studying organizational inequality. She earned an M.P.P from the University of Chicago and a B.A. from Brandeis University.
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Xi Wang
Xi Wang is a fourth-year Ph.D student in Sociology at Northwestern University and is currently training at the Chicago Psychoanalytic Institute. She is broadly interested in the culture and institution of mental health, especially in a transnational context. Focusing on the post-licensure context of psychotherapy in China, she examines how social actors re-professionalize the field through various forms of expertise. Her dissertation explores the professional jurisdiction of psychoanalysis and its connection to social modernity, examining why psychoanalysis and psychodynamic psychotherapy are intellectually prominent but clinically marginalized in contemporary China through psychoanalytic training programs co-taught by indigenous practitioners and Western therapists.
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Jessica Zier
Jessica (Jessi) is a PhD student in the Media, Technology and Society program at Northwestern University. Her research focuses on the psychology of persuasion, (mis)information processing, and human communication behaviors in the context of digital and algorithmic systems. She holds a BSc in Cognitive Neuroscience (Minerva University) and MA in Digital Communication (Vrije Universiteit Brussel/University of Salzburg).
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Yanling Zhao
Yanling Zhao is a doctoral student in the Media, Technology, and Society program at School of Communication, Northwestern University and a member of the Center for Communication & Public Policy research lab. Her research centers on political communication, public opinion, and political behavior with an emphasis on new technology and digital media. Yanling employs a range of methodological approaches in her scholarship, including computational, survey, and experimental methods. Yanling is also a 2023 SICSS alum.
Stephanie Xu

FGV/ECMI Brazil

All Participants


Image of Danielle Sanches
Danielle Sanches
Danielle Sanches is a professor at FGV ECMI and a PhD in History of Science at the École des Hautes Études en Sciences Sociales in cooperation with the Casa de Oswaldo Cruz/FioCruz. She currently works on Digital Methods, focusing on the influence of the algorithm culture on social practices.
Image of Denisson Silva
Denisson Silva
Denisson holds a PhD in Political Science (UFMG), a Master's degree in Sociology and is a Social Scientist (UFAL). He has experience in Political Science, working mainly on the following themes: political parties, party migration, electoral results, and campaign financing. Researcher at the Center for Legislative Studies (CEL/UFMG), the Citizenship and Public Policy Group (UFAL), and research fellow at EMCI-FGV.
Image of Maria Sirleidy Cordeiro
Maria Sirleidy Cordeiro
Maria Sirleidy Cordeiro is a PhD and Master in Linguistics at the Federal University of Pernambuco (UFPE). She completed part of her PhD program in Portugal at the Universidade Católica Portuguesa (UCP). She is a professor at FGV ECMI and a member of the research group on Communication, Society and Digital Media (FGV). She works in the areas of cognitive linguistics, critical discourse analysis and public policy analysis, investigating processes of meaning, ideologies and power relations imbricated in text and discourse.
Image of Paulo Fonseca
Paulo Fonseca
Dr. Fonseca, with a Ph.D. in Sociology focusing on the Social Impacts of Science and Technology, began his academic career with a Bachelor's in Physics, laying the groundwork for his interdisciplinary approach. He is an Associate Professor at the Federal University of Bahia (UFBA), within the Institute of Science, Technology, and Innovation (ICTI), and a member of the Interdisciplinary Graduate Program in Culture and Society. His experience includes a Postdoctoral Research Fellowship in the Science, Technology, and Society (STS) program at Harvard University and a current role as a Visiting Professor at the School of Communication, Media, and Information of the Getulio Vargas Foundation (ECMI/FGV). His work intersects critical analysis of technological innovation with interdisciplinary research methodologies.
Image of Polyana Barbosa
Polyana Barbosa
Polyana Barboza is a professor working with data extraction and analysis on social networks at FGV ECMI. She has a major in Applied Mathematics at the School of Applied Mathematics of Fundação Getulio Vargas (FGV EMAp) and is a Master in Computer Science at the Pontifical Catholic University of Rio de Janeiro (PUC-Rio). Her main lines of research are Social Network Analysis in Digital Media and Multi-agent Systems in Software Engineering.
Image of Elias Bitencourt
Elias Bitencourt
Elias Bitencourt is an Associate Professor in the Department of Design at Universidade do Estado da Bahia (UNEB). He holds a Ph.D. in Communication from FACOM/UFBA and a Master's in Culture and Society from IHAC/UFBA. He was a visiting researcher at the Milieux Center (Concordia University, Canada, 2019) and currently leads the Datalab/Design at UNEB: a center for research and development in data visualization and digital methodologies. His research focuses on data visualization, algorithmic mediation in daily social life, platform studies, digital practices, and imagination. He also collaborates with the Inova Media Lab (Universidade Nova de Lisboa) and the international Public Data Lab research network.
Image of Eurico Mattos
Eurico Mattos
Eurico Matos is a PhD and Master in Contemporary Communication and Culture at the Bahia Federal University. He coordinates the Digital Communication undergraduate course at FGV ECMI and is a researcher at the National Institute of Science and Technology in Digital Democracy (INCT.DD). He carries out research on topics such as digital government, political communication, online hate speech and mobile app studies.
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Leonardo Nascimento
Leonardo F. Nascimento is a professor at the Federal University of Bahia. As the Digital Humanities Laboratory (LABHDUFBA) coordinator, he has contributed to research in digital sociology, digital humanities, and computational social science. He is the author of the book “Sociologia Digital: uma breve introdução - EDUFBA – 2020”. In his current research, he is collaborating with InternetLab, UFSC, and AI for Society on a project investigating the intersection of instant messengers and political violence and utilizing a combination of natural language processing (NLP) techniques and mixed qualitative approaches, including discourse analysis and online ethnography.
Image of Lucas Roberto
Lucas Roberto
Lucas Roberto da Silva is a professor and researcher at the School of Communication, Media and Information at Fundação Getulio Vargas (FGV ECMI), where he works on data extraction and analysis of social networks. He has a major in Mathematics at the Fluminense Federal University (UFF) and is a Master in Computer Science at the Department of Informatics in PUC-Rio. His main lines of research are Analysis of Social Networks and Natural Language Processing.
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Mateus Pestana
Matheus Pestana is a professor at the School of Communication, Media, and Information at Fundação Getulio Vargas (FGV ECMI), a researcher at the Institute for Religious Studies (ISER), and a member of the New Illegalisms research group (GENI/UFF). He is a PhD Candidate in Political Science at the State University of Rio de Janeiro (UERJ), where he also earned his Master's degree in the same field. His current research focuses on the intersection of artificial intelligence (AI) and politics/public opinion. He has interests in computer vision, large language models (LLMs), speech recognition, and image detection/segmentation.
Image of Renata Zampronio
Renata Zampronio
Renata Zampronio is a master student in the Pontifical Catholic University of São Paulo (PUC-SP) Social Science department. Her current research examines resistance practices of young latin migrant women at workplace. She holds a Bsc in Production engineering at University of São Paulo (USP) and she is a member of Latin American Council of Social Sciences (CLACSO) research group on Children and Youth.

Florida

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Image of Jieun Shin
Jieun Shin
Jieun Shin is an Assistant Professor in the Department of Media Production, Management, and Technology in the College of Journalism and Communications at the University of Florida. Dr. Shin's research covers social media dynamics with a focus on the spread of news and misinformation.
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Kevin Lanning
Kevin Lanning is a Professor of Psychology and Data Science at the Wilkes Honors College of Florida Atlantic University. Dr. Lanning's research uses simple tools in natural language analysis and network analysis to understand complex social and psychological phenomena. In his spare time, he is training for his first marathon.
Image of Kathryn Albrecht
Kathryn Albrecht
Kat Albrecht is an Assistant Professor in the Department of Criminal Justice and Criminology in the Andrew Young School of Policy Studies at Georgia State University. Dr. Albrecht’s work sits at the intersection of computational social science and law, where she uses innovative computational techniques to study fear, violence, and data distortions. She is particularly interested in the nexus of fear and risk-taking behaviors, digital trace data, and the impact of law on decision-making.
Image of AJ Alvero
AJ Alvero
AJ Alvero is a computational social scientist at the University of Florida Department of Sociology, Criminology & Law. His primary interests are in language, race/ethnicity, culture, and education. His current research uses computational techniques to analyze college admissions essays and model the social patterns within them. AJ’s future research plans include investigations into machine translation and multilingualism, social media and counter hate speech, and California parole hearing transcripts.
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Nathan Carpenter
Nathan Carpenter is the Director of the ATLAS lab, a digital listening and analytics lab, at the University of Florida. Dr. Carpenter's expertise is in analyzing trends and conducting research using data from social media platforms.
Image of Soojong Kim
Soojong Kim
Soojong Kim is an Assistant Professor at the Department of Communication at UC Davis. As a former computer scientist and engineer, he is interested in combining insights from the social sciences with innovative research methods, including large-scale data analysis, natural language processing, web-based experiments, network analysis, and computational modeling. Before joining UC Davis, he was a postdoctoral research fellow at Stanford University, jointly affiliated with the Program on Democracy and the Internet (PDI) and the Digital Civil Society Lab (DCSL).
Image of Marshall A. Taylor
Marshall A. Taylor
Marshall A. Taylor is an Assistant professor of sociology at New Mexico State University, where he is also the lead of the Data Science and Application Center, PI of the C3 Lab, and the interim co-associate dean of research for the College of Health, Education, and Social Transformation. He is the author of ‘Mapping Texts: Computational Text Analysis for the Social Sciences (co-authored with Dustin S. Stoltz). He investigates how social contexts and cognitive structures interface to influence the stability and change of cultural knowledge and how to best measure cultural knowledge in natural language and survey data using computational methods.
Image of George G. Vega Yon
George G. Vega Yon
George G. Vega Yon is a Lead Data Scientist (Associate) at Booz Allen Hamilton and an Assistant Professor of Research at the Division of Epidemiology at the University of Utah. He works on studying Complex Systems using Statistical Computing. He has over ten years of experience developing scientific software focusing on high-performance computing, data visualization, and social network analysis. His training is in Public Policy (M.A. UAI), Economics (M.Sc. Caltech), and Biostatistics (Ph.D. USC).
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Marley Kalt
Marley Kalt is Senior Data Project Manager at the Inter-university Consortium for Political and Social Research (ICPSR) at the University of Michigan. ICPSR is the world’s largest social science data archive and keeps research data accessible while training generations of researchers. It maintains a data archive of more than 350,000 research files in the social and behavioral sciences and hosts 23 specialized data collections in education, aging, criminal justice, substance abuse, terrorism, and other fields.
Coming soon!
Image of Gwiwon Jason Nam
Gwiwon Jason Nam
Jason is a doctoral student at the College of Journalism and Communications at the University of Florida. His research interests and academic pursuits are situated at the intersection of strategic communication, computational social science, and emerging technologies.

Howard Mathematica

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Terri Adams, Ph.D.
Terri Adams, Ph.D. is a Professor in the Department of Sociology and Criminology at Howard University, and she currently serves as the Associate Dean for Research with the Graduate School. Additionally, she serves as the Deputy Director of the NOAA Cooperative Science Center for Atmospheric Sciences and Meteorology (NCAS-M) at the university. In addition to her administrative duties, Dr. Adams’ conducts research that takes a multidisciplinary approach to examine issues that have both theoretical and practical implications. Her specific research interests include emergency management, policing, violence, and the impact of trauma and disasters on individuals and organizations. Her most recent work centers on the decision-making processes of both individuals and organizations in the face of crisis events. Her most recent publication, Policing in Disasters: Stress, Resilience, and the Challenges of Emergency Management is co-authored with Dr. Leigh Anderson.
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Naniette H. Coleman
Naniette H. Coleman is a Ph.D. candidate in the Sociology Department at the University of California, Berkeley and a UC-National Lab In-Residence Graduate Fellow at Los Alamos National Lab. Since 2016, Naniette has directed the AAC&U award winning Interdisciplinary Research Group on Privacy at Berkeley. Naniette is an affiliate of the Institute for the Study of Societal Issues, the Center for Long-term Cybersecurity, and the Center for Technology, Society, and Policy at Berkeley as well as the Belfer Center for Science and International Affairs, and Berkman-Klein Center for the Internet and Society at Harvard University. Naniette’s research sits at the intersection of the sociology of culture and organizations and focuses on cybersecurity, surveillance, and privacy in the US context. Specifically Naniette’s research examines how organizations assess risk, make decisions, and respond to data breaches and organizational compliance with state, federal, and international privacy laws. Naniette holds a Master of Public Administration with a specialization in Democracy, Politics, and Institutions from the Harvard Kennedy School of Government, and both an M.A. in Economics and a B.A. in Communication from the University at Buffalo, SUNY. A non-traditional student, Naniette’s prior professional experience includes local, state, and federal service, as well as work for two international organizations, and two universities.
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Howard University
Howard University has long held a commitment to the study of disadvantaged persons in American society and throughout the world. The goal is the elimination of inequities related to race, color, social, economic and political circumstances. As the only truly comprehensive predominantly Black university, Howard is one of the major engineers of change in our society. Through its traditional and cutting-edge academic programs, the University seeks to improve the circumstances of all people in the search for peace and justice on earth.
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Mathematica
Mathematica is the insight partner that illuminates the path to progress for public- and private-sector changemakers. We apply expertise at the intersection of data, methods, policy, and practice, translating big questions into deep insights that weather the toughest tests. Driven by our mission to improve public well-being, we collaborate closely with our clients to improve programs, refine strategies, and enhance understanding.
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SICSS-Howard/Mathematica
The Summer Institutes in Computational Social Science (SICSS) were created to provide free training to the next generation of researchers at the intersection of social science and data science— and to incubate cutting-edge research across disciplinary boundaries. Participants at each institute a) hear lectures by leading scholars in the field on a range of subjects from automated text analysis to experiments on social media platforms; b) participate in group training exercises; and c) launch interdisciplinary research projects. SICSS thus aims to provide open, high-quality training in computational social science to researchers around the world in order to accelerate the growth of the field and ensure that it develops practices that are in the long-term interests of science and society. Lectures are live-streamed to all SICSS sites from a central location and supported via a vibrant online community that includes open-source education materials that can be used for further self-study or as a model for computational social science courses within other organizations.
Image of Naniette H. Coleman
Naniette H. Coleman
Naniette H. Coleman is a Ph.D. candidate in Sociology at the University of California, Berkeley and a multi-year UC-National Laboratory Graduate Fellow (Los Alamos). She is the only social scientist selected for this distinction in the history of the program. Since 2016, Naniette has directed the AAC&U award winning Interdisciplinary Research Group on Privacy (Coleman Research Lab) at Berkeley. Naniette is an affiliate of the Institute for the Study of Societal Issues, the Center for Long-term Cybersecurity, and the Center for Technology, Society, and Policy at Berkeley as well as the Belfer Center for Science and International Affairs, and Berkman-Klein Center for the Internet and Society at Harvard University. Naniette’s work sits at the intersection of the sociology of culture and organizations and focuses on cybersecurity, surveillance, and privacy in the US context. Specifically, Naniette’s research examines how organizations assess risk, make decisions, and respond to data breaches and organizational compliance with state, federal, and international privacy laws. Naniette holds a Master of Public Administration with a specialization in Democracy, Politics, and Institutions from the Harvard Kennedy School of Government, and both an M.A. in Economics and a B.A. in Communication from the University at Buffalo, SUNY. A non-traditional student, Naniette’s prior professional experience includes local, state, and federal service, as well as work for two international organizations, and two universities.
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Akira Bell
Akira Bell is Mathematica’s Senior Vice President and Chief Information Officer. She oversees technology infrastructure and governance and leads strategy for delivering innovation in support of client and internal business function needs. Before joining Mathematica in 2018, Bell led the IT function for Aramark’s higher education business unit. Previously, she served as a divisional Chief Information Officer within the Hess Corporation and held various program management, application development, and technology consulting roles with UnitedHealth, IBM Global Services, and PricewaterhouseCoopers. While at Hess, she guided IT strategy during the acquisition of its retail division by Marathon Speedway and was part of the team recognized by CIO magazine with a CIO100 Award for delivering innovative IT solutions during Hurricane Sandy recovery. Bell earned a B.S.E. in Operations Research from Princeton University, where she serves as an alumni mentor for women in Science, Technology, Engineering, and Mathematics.
Image of Calvin Hadley, Ph.D.
Calvin Hadley, Ph.D.
Calvin J. Hadley serves as the Assistant Provost for Academic Partnerships and Student Engagement at Howard University. Hadley works to broker strategic partnerships that advance the University's mission: Truth and Service. Since joining Howard in 2014, he's negotiated numerous partnerships along several student programs. The most notable of these include: Howard's partnership with Google and Amazon Studios to create the Howard West Campus in Silicon Valley and the Howard Entertainment Campus in Hollywood, a partnership with the District of Columbia Public Schools which led to the creation of a dual-enrollment program that allows high school juniors and seniors to earn college credit at Howard University, and a lecture series with Congressman Elijah Cummings, former Director of the FBI James Comey, former Mayor of Washington, D.C. Vincent Gray, and others.

Iceland

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Image of Matti Nelimarkka
Matti Nelimarkka
Matti Nelimarkka teaches social data science at the University of Helsinki. His book [Computational Thinking and Social Science: Combining Programming, Methodologies and Fundamental Concepts](https://uk.sagepub.com/en-gb/eur/computational-thinking-and-social-science/book268542) was published by SAGE Publishing in 2023. Beyond teaching computational methods for social scientists, he leads the Helsinki Social Computing Group, an interdisciplinary group examining both computers and society. They explore digital democracy and politics in the digital era as well as computational techniques in social sciences, especially workflows and connections between social science theories and code. He is affiliated with the Faculty of Social Science, University of Helsinki, Department of Computer Science, Aalto University.
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Thamar Heijstra
Thamar Heijstra is a professor of Sociology at the University of Iceland and the Director of Academic Development at the School of Social Sciences. Her research interests center around academic teaching, organisational culture, work conditions, well-being, and gender relations, and she is currently involved in research projects on AI use in the labour market, remote work and well-being, and the social aspect of restoration projects.
Image of Stefán Hrafn Jónsson
Stefán Hrafn Jónsson
Stefán Hrafn Jónsson is a Professor of Sociology and the Dean of the School of Social Sciences at the University of Iceland. He received his PhD in Sociology and Demography from Pennsylvania State University. Stefán has contributed to numerous national and international research projects, focusing on public health, youth behavior, and social inequality. He has worked with the Directorate of Health and the Public Health Institute of Iceland. He led the Icelandic team in the European Social Survey and investigated smoking and drinking in films across six European nations (Smoking in Movies project). He participated in the ESPAD and HBSC projects and was the Principal Investigator in the first two waves of the national survey on Health and Well-being in Iceland in 2007 and 2009.
David Reimer
David Reimer is professor of sociology of education at the University of Iceland (since January 2023). He also holds a part-time position at Aarhus University. His research focuses on questions related to inequalities in educational attainment. He is particularly interested in educational transitions - such as the transition from upper secondary education to higher education or the transition from compulsory school to the subsequent schooling alternatives. He is currently principal investigator for a major research project: [EDUCHANGE, Changing Inequality at Educational Transitions (ERC consolidator grant)](https://www.educhange.hi.is). In his work he often combine different sources of data – such as survey data from experimental interventions with administrative registry data. He haas also been working with digital trace data from a reading app for compulsory school students in Denmark and connected this data to registry and survey data
Image of Adeline Clarke
Adeline Clarke
Adeline is a Project Planner at the University of Helsinki Centre for Social Data Science where she creates tools for analysis surveys containing open-ended questions in Finnish.

Kenya (Coming Soon!)

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Korea

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Image of Jeon June
Jeon June
June Jeon is an assistant professor of sociology at KAIST. He is a qualitative ethnographer and theorist, specialized in sociology science, technology, and environment. His recent research interests include computational large-scale qualitative analysis on varieties of inequalities in scientific knowledge production. June received Ph.D. in sociology at the University of Wisconsin-Madison and has published in Social Studies of Science, New Media & Society, Agriculture & Human Values, among other journals.
Image of Byungkoo Kim
Byungkoo Kim
Byungkoo Kim is an assistant professor in Data Science at the KDI School of Public Policy and Management. He earned his Ph.D. in Political Science and an M.A. in Statistics from the University of Michigan. His research expertise lies at the confluence of international political economy and quantitative methods. He is particularly interested in studying how global supply chains shape new dynamics in global trade and investment governance; economic policies and political institutions; and economic security. His research also focuses on developing statistical models for networks and text data. In this line of research, he has ongoing projects that analyze citation networks and opinion texts of U.S. Appeals Courts and Supreme Courts.
Image of Lanu Kim
Lanu Kim
Lanu Kim is an assistant professor in the school of humanities and social sciences and a joint professor in the school of computing at KAIST. After finishing her sociology PhD at the University of Washington, she was a postdoctoral fellow and data science scholar at Stanford University. Her research broadly contributes to the theoretical understanding of academic knowledge creation by mainly examining the impact of academic search engines, gender inequality in higher education, and the social structure of knowledge construction. To investigate, she utilizes new big data sources, innovative analytical strategies, natural language processing, and advanced statistical methods and works with interdisciplinary research teams.
Image of Jinhyuk Yun
Jinhyuk Yun
Jinhyuk Yun is an assistant professor in the School of AI Convergence, at Soongsil University. He received his B.S. and Ph.D. degrees in Physics from KAIST. During his Ph.D., he developed a strong interest in the structure and dynamics of complex systems such as society, culture, media, and collective knowledge, along with the big data and statistical physics models, which led him to join Naver as a Data Scientist. He then worked as a Senior Research Scientist at KISTI, where he researched big data analysis and AI technology development. Since 2020, he has been a Professor at the School of AI Convergence at Soongsil University, where he is currently working on complex systems theory, big data, and AI to understand in-depth human behavior.
Image of Won-tak Joo
Won-tak Joo
Won-tak Joo is an assistant professor in Sociology and Criminology & Law at the University of Florida. His research interests are in the areas of social demography, social networks, and computational sociology. Specifically, he investigates how social and family relationships change across the life course, and how these patterns contribute to social and health inequalities, using a range of quantitative approaches including social network methods, applied econometrics, and demographic techniques.
Image of Bas Hofstra
Bas Hofstra
Bas Hofstra is a tenured Assistant Professor at Radboud University's Department of Sociology. He got his PhD from Utrecht University s Department of Sociology and was Postdoctoral Research Fellow at Stanford University. His work orbits the study of diversity, stratification, and innovation. It captures longitudinal systems of social and cultural exchange: from the gestation and birth of networks, careers, ideas, or innovations, to their use, up until their eventual cessation. As such, he strives for three interrelated goals: (i) answering substantive questions on causes and effects of social networks, while (ii) contributing to social theory, and (iii) using computational methods and big data. His research appeared (among others) in PNAS, American Sociological Review, Social Forces, Social Networks, and Nature Human Behaviour, and was honored with several grants and awards.
Image of Hwaran Lee
Hwaran Lee
Hwaran Lee is a lead research scientist at NAVER AI Lab, working on natural language processing and machine learning. She received her Ph.D. in Electrical Engineering at Korea Advanced Institute of Science and Technology (KAIST) in 2018 and her B.S. in Mathematical Science at KAIST in 2012. Before joining NAVER AI Lab, she worked at SK T-Brain as a research scientist from 2018 to 2021. Her current primary research interests are ethics, safety, and trustworthiness of language models. Also, she is interested in controllable language generation, dialog systems, and machine learning for language models.
Image of Jonghee Park
Jonghee Park
Jonghee Park is a Professor in the Department of Political Science and International Relations at Seoul National University. He is also the Director of Global Data Center at Institute of International Studies, Seoul National University. He received his Ph.D. from Washington University in St. Louis. Jonghee Park studies political methodology and international political economy. He also maintains R packages MCMCpack and Bayesian taskview in CRAN. He is recently working on dynamic network analysis, text analysis of North Korean document, and changepoint analysis of Bayesian shrinkage models.
Image of Hyunwoo Park
Hyunwoo Park
Hyunwoo Park is Vice Dean for Academic Affairs and Associate Professor in the Graduate School of Data Science at Seoul National University. Before joining SNU, he was an Assistant Professor in Management Sciences at the Fisher College of Business and a Core Faculty for the Translational Data Analytics Institute (TDAI) at The Ohio State University. Before OSU, he was a postdoctoral fellow at the Tennenbaum Institute at Georgia Tech. He holds a Ph.D. in Industrial Engineering from Georgia Tech, a Master of Information Management and Systems from UC Berkeley, and a B.S. in Electrical Engineering from Seoul National University. His research interests include business and data analytics with an emphasis on visualization, supply chain management from the network perspective, and technology and innovation management in the presence of digital platforms. His research has been published in leading journals, and he has won several awards and nominations from major conferences, including INFORMS and the Academy of Management.
Image of Jihee Kim
Jihee Kim
Jihee Kim is an associate professor at the School of Business and Technology Management, KAIST College of Business, and also holds a joint appointment with the School of Computing at KAIST. She is an economist, yet her academic and research endeavors have embraced interdisciplinary scholarship. Jihee earned a B.S. in Computer Science at KAIST, then pursued her master’s degree in Economics at Stanford University, followed by her PhD in Management Science and Engineering, also at Stanford University. Her academic journey reflects a commitment to interdisciplinary exploration, as evidenced by her collaborative efforts across various disciplines, such as computer science and energy policy, while maintaining a strong foundation in economics.
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Yeowoon Bae
BAE Yeowoon, formerly a reporter in the Investigative Journalism Division at SBS, currently leads the Data Journalism Team, which produces Mabu News, in the broadcaster’s Digital News Production Division. He was awarded the Data Journalist to Watch Award at the 2019 Korea Data Journalism Awards. In 2020, he won the Korea Journalists Award for his analysis of provincial lawmakers’ operational expenses and assets. Last year, he won Grand Prize at the Korean Broadcasting Journalist Association Awards for his work on elections and data.

Location TBD (Coming Soon!)

All Participants


Location TBD (Coming Soon!)

All Participants


ODISSEI

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Image of Tom Emery
Tom Emery
Dr. Tom Emery is the Deputy Director of ODISSEI, where he is responsible for the strategic development of the infrastructure and international collaborations. Emery is an Associate Professor in the Department of Public Administration and Sociology of Erasmus University Rotterdam. Before that, he was the Deputy Director of the Generations and Gender Programme (GGP) at the Netherlands Interdisciplinary Demographic Institute in The Hague. Emery gained a PhD in Social Policy from the University of Edinburgh in 2014 and his thesis examined the interaction between financial support between elderly parents and their adult children in a number of European countries. His research also covers questions of comparative survey methodology and policy measurements in multilevel contexts.
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Paulina Pankowska
Dr. Paulina Pankowska is an assistant professor at the Sociology department of Utrecht University. Her research focuses on the topics of data and methods quality. She is currently working on a project investigating the quality of non-traditional data sources and on a project related to climate change sociology. She is also the task leader of the ODISSEI benchmarking task, which aims to organize an algorithm benchmark for the social sciences. The overarching goal of this project is to guide social science research towards a culture wherein different methods and techniques that are used to solve a specific problem are compared and evaluated objectively.
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Javier Garcia-Bernardo
Dr. Javier Garcia-Bernardo is an assistant professor at Utrecht University in the Social Data Science (SoDa) team. Before that, he was a postdoc at the University of Amsterdam and at Charles University (CORPTAX), and a data scientist at the Tax Justice Network. In his research he applies computational models to understand social and economical systems. He completed his PhD in Political Economy at the CORPNET group (University of Amsterdam), and his MSc in Computer Science at the University of Vermont.
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Erik-Jan van Kesteren
Dr. Erik-Jan van Kesteren is assistant professor of data science at Utrecht University, and the team lead for the ODISSEI Social Data Science team ([https://odissei-soda.nl/](https://odissei-soda.nl/)). His background is in social sciences and statistics, with a focus on computation; he has worked on a wide range of topics, such as structural equation modeling, high-performance computing, and Bayesian statistics. Erik-Jan is a strong proponent of open science, which he puts in practice in his projects with the SoDa team. There, he consults and works with many different researchers, on topics such as inequality, citizen science, agent-based modelling, and synthetic data.
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Gert Stulp
Gert Stulp is an associate professor at the department of Sociology at the University of Groningen. He studies causes of the variation in the number of children people have and would like to have, and employs diverse methods in his research including personal network data collection, simulation studies, and machine learning. He is also interested in how methods from data science methods can improve the social sciences.
Image of Elizaveta Sivak
Elizaveta Sivak
Elizaveta Sivak is a sociologist and a computational social scientist. Currently, she is a PhD candidate at the University of Groningen, where she studies the predictability of fertility outcomes. Before that, she was the head of the Center for Modern Childhood Research at HSE University. Her research interests involve the predictability of life outcomes, predictions in social science in general, and using machine learning methods and digital traces data to study parenting and childhood.
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Varun Satish
Varun is a PhD student in Demography and Social Policy at Princeton University. Originally from Sydney, Australia, he is interested in studying whether there are limits to predictability in social data.
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Yuki Takahashi
Yuki is a postdoctoral researcher at Tilburg University's Department of Economics. Yuki is an applied microeconomist working in the areas of Behavioral Economics, Gender Economics, and Labor Economics. Their research examines how psychological factors and institutions affect individual and group behaviors using experimental and observational data. Yuki received their PhD in Economics from the University of Bologna in July 2022. Yuki is non-binary (pronoun: they/them).

Penn

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Rochester

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Image of Cantay Caliskan
Cantay Caliskan
Cantay Caliskan is an assistant professor of instruction at the Goergen Institute for Data Science, University of Rochester. He studied political science, computer science, and statistics during his PhD, and received his degree from Boston University in 2018. Cantay received his BA in Economics, Mathematics, and Intl. and Global Studies from Brandeis University and his MA in International Relations from Koç University. His research interests include computational social science, specifically computer vision, social media analysis, and generative AI.
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Ezgi Siir Kibris
Ezgi Siir Kibris is a Ph.D. candidate in Political Science and an alumna of the MS program in Data Science at the University of Rochester. She has MA degrees in Political Science and European Studies and BA in Economics from Sabanci University. Her dissertation research revolves around judicial politics, international courts, democratic backsliding, and gender. She is interested in quantitative methods, specifically causal inference, machine learning, and natural language processing.
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Agnes Horvat
Agnes Horvat is an Associate Professor of Communication and Computer Science (by courtesy) at Northwestern University. Her research lies at the intersection of human-centered computing, computational social science, and communication. Using interdisciplinary approaches, her research group, the Lab on Innovation, Networks, and Knowledge (LINK), investigates how networks induce biased information production, sharing, and processing on digital platforms. For example, they study the impact of networks and diversity on scholarly communication, identify expressions of collective intelligence and opportunities for innovation in crowdsourcing communities, and develop tools to support creativity and predict success in culture industries. Agnes developed courses on networks, media, and AI to train students for careers at the intersection of creative occupations and data science. Her research and teaching have been recognized with an NSF CAREER and CRII Award. She received her PhD in Physics from the University of Heidelberg, Germany. Prior to becoming a faculty member at Northwestern, she was a postdoctoral fellow at the Northwestern Institute on Complex Systems (NICO).
Image of Dino P. Christenson
Dino P. Christenson
Dino Pinterpe Christenson is Professor (Ph.D., Ohio State University; B.A., University of Michigan) in the Department of Political Science at Washington University, a Faculty Affiliate in the Division of Computational and Data Science, and a Research Fellow at the Weidenbaum Center on the Economy, Government, and Public Policy. Christenson studies American political behavior and quantitative methods, with recent work exploring presidential voting behavior, campaign dynamics in presidential primaries and caucuses, the coalition behavior of interest groups, and public opinion and the media environment of institutional outcomes. More generally, his research in American politics concerns electoral behavior, public opinion, political psychology, political communication, interest groups and judicial politics. He has broad methodological interests as well, including survey research, experimental design, longitudinal and nested data models, Bayesian analysis, social network analysis and causal inference.
Image of Bruce Desmarais
Bruce Desmarais
Bruce Desmarais is Professor in the Department of Political Science and Faculty Co-Hire of the Institute for Computational and Data Sciences at Penn State University. Professor Desmarais' research focuses on the development and application of statistical methods in the study of Social and Political systems that are characterized by interdependence and structural complexity. Network analysis is the primary methodological approach in his research. Areas of application include international conflict and cooperation among countries, campaign finance and co-sponsorship networks in the US Congress, digital communication networks in local government, diffusion of public policies across the US states, and the interconnectedness of scientific research and US regulatory policymaking. His current research agenda is generously supported by three grants from the US National Science foundation and one from the Russell Sage Foundation.
Image of Bryce J. Dietrich
Bryce J. Dietrich
Bryce Dietrich is Associate Professor in the Department of Political Science at Purdue University and research scholar at the Center for C-SPAN Scholarship and Engagement (CCSE). His research uses novel quantitative, automated, and machine learning methods to analyze non-traditional data sources such as audio (or speech) data and video data. These methods are used to understand the causes and consequences of non-verbal cues, such as vocal inflections and walking trajectories, especially as they relate to elite political behavior.
Image of Gourab Ghoshal
Gourab Ghoshal
Gourab Ghoshal is Professor of Physics and Astronomy with joint appointments at the departments of Computer Science and Mathematics. He came to Rochester from Harvard University, where he was a Research Scientist at the Department of Earth and Planetary Sciences and a member of multidisciplinary Orgins of Life Initiative. Hailing from New Delhi, India, Professor Ghoshal got his BS and MS degrees at the University of London, UK (BS and MSc in theoretical Physics, 2004). He did his doctoral-thesis work at the University of Michigan, Ann Arbor (PhD in Physics, 2009) during which he attended the prestigious Complex Systems summer school at the Santa Fe Institute, NM and the Theoretical Physics school at Les Houches near Chamonix in France. Following his PhD, he was a postdoctoral scientist jointly at Northeastern University and Harvard Medical School as well as a visiting scientist at the Media Lab, MIT.
Image of Jonathan Herington
Jonathan Herington
Jonathan Herington is Assistant Professor of Philosophy, and Assistant Director of Graduate Education in the College of Arts, Sciences, and Engineering, at the University of Rochester. Between 2014 and 2019 Jonathan was an Assistant Professor in the Department of Philosophy at Kansas State University. Previously Jonathan was a Research Fellow in the Medicine, Ethics, Society and History unit of the University of Birmingham. Jonathan completed my PhD in the School of Philosophy, at the Australian National University. Jonathan is a native of Brisbane, Australia and recieved a BA (Hons I) in International Relations and Philosophy, and a BSc in Microbiology, from the University of Queensland. Prior to undertaking my PhD Jonathan was located at the Centre for International Security Studies, University of Sydney.
Image of Yichen Li
Yichen Li
Yichen Li is currently a rising senior at the University of Rochester, where he specializes in Data Science and Business. His research focuses on advanced applications in computer vision, specifically developing methods to analyze political polarization and to measure 3D distances within 2D images. He also has significant experience in leveraging Large Language Models for predicting financial metrics such as stock prices and sales volumes for various companies.
Image of Muchen Zhong
Muchen Zhong
Muchen Zhong is a graduating senior at the University of Rochester, majoring in Data Science and Economics. Soon, she will be joining Brown University for the MS program in Data Science. Her recent research involves developing innovative methodologies in computer vision to quantify political polarization and constructing methods to measure 3D distances in 2D frames. She also has research experience in applying natural language processing and network analysis to explore the impact of AI agents on team dynamics, processes, and outcomes. She is interested in computer vision and financial data science.
Image of Adiba Proma
Adiba Proma
Adiba Proma is a Computer Science PhD student at the University of Rochester. Her research focuses on modeling human interactions within social networks, particularly exploring the impacts of these interactions in the contexts of climate change and elections. She is also keen on exploring how various technologies, such as Large Language Models (LLMs), recommendation algorithms, and user interface (UI) designs, influence social interactions on online platforms.
Image of Amber Shen
Amber Shen
Amber(Yiyang) Shen is a graduating MSW student at Columbia University. Amber's research interests encompass minority mental health, homelessness, poverty, aging, and stigma, with a keen focus on leveraging Artificial Intelligence in mental health interventions. She has gained hands-on research experience at Columbia Population Research Center and the Action Lab for Social Justice, where she spearheaded projects exploring topics ranging from longitudinal studies of community wellbeing to mental health in low-income neighborhoods.
Image of Bibandhan Poudyal
Bibandhan Poudyal
Bibandhan Poudyal is a Physics PhD student at the University of Rochester specializing in complex network analysis, particularly its application to understanding how human mobility impacts urban well-being.
Image of Dihan Shi
Dihan Shi
Dihan Shi is a PhD student in the Department of Political Science at Washington University in St. Louis. He uses survey experiments and computer vision to study comparative political economy and public opinion. He also studies causal inference problems in survey experimentation and remote sensing. He holds a B.S. degree summa cum laude in Mathematics (Honors) and Political Economy (Honors) from Georgetown University (2022).
Image of Haofeng Ma
Haofeng Ma
Haofeng Ma is a PhD Candidate in Political Science at The University of Iowa. As a comparativist, he is broadly interested in comparative public opinion, language and ethnicity, and political economy. His methodological approaches include spatio-temporal statistics, Bayesian statistics, causal inference, natural language processing, and deep learning. He also utilizes GIS techniques, such as geoprocessing and remote sensing, to enhance data availability, analytics, and visualization. He holds an MS in Informatics from The University of Iowa (2023), a master’s degree in Political Theory from Sun Yat-sen University (2019), and a bachelor’s degree in Politics and Public Administration from Xiangtan University (2017).
Image of Homayra Tabassum
Homayra Tabassum
Homayra Tabassum is a graduate student at the University of Rochester, where she is pursuing a master's degree in Data Science. Prior to this, she completed her undergraduate studies in Computer Science and Engineering. Homayra's academic and research interests bridge the domains of Data Science and Social Sciences, with a particular focus on advancing diversity and gender equity within STEM fields.
Image of Jefferson Leal
Jefferson Leal
Jefferson Leal is a PhD student in Political Science at the University of Rochester. Originally from São Paulo, Brazil, he has an MA in Political Science and BA degrees in Economics and International Relations from the University of São Paulo. His research interests include Latin American Politics, populism, polarization, inequality, and democratic backsliding. His methodological interests concern causal inference, machine learning, and natural language processing.
Image of Ke Xu
Ke Xu
Ke Xu is pursuing a duel degree in Data Science and Business Analytics from the University of Rochester with interests in applied machine learning, neural networks, and image datas.
Image of Neeley Pate
Neeley Pate
Neeley is a first year Ph. D. student in the Computer Science department at the University of Rochester. She previously graduated from The University of Texas at Austin with a Bachelors of Science in Electrical and Computer Engineering and a minor in Journalism. Currently, she works with the Rochester Human-Computer Interaction Lab (ROCHCI) with interests in online trust, misinformation and propaganda, and social network construction.
Image of Nour Assili
Nour Assili
Nour Assili is an undergraduate Data Science major at the University of Rochester, with a concentration in Economics. She has actively contributed to research projects at the university's Human Computer Interaction Lab. Nour was also a software engineer at early-stage startups, where she built applications at the intersection of tech and social sciences. Her academic and professional interests are centered around Artificial Intelligence, Machine Learning, and Blockchain technologies. Currently, she is exploring how Blockchain could ensure that profit-maximizing corporations do not totally control superintelligence.
Image of Omer Antalyali
Omer Antalyali
Omer Lutfi Antalyali currently holds a position at Suleyman Demirel University as a Professor of Management and Strategy. He is also a Visiting Professor at the University of Rochester's Psychology Department, focusing on a year-long engagement. His primary research project, employee meta-motivation, integrates his interests in leadership, motivation, and advanced statistical analysis. Recently, he has expanded his research scope into the realm of computational social science, embarking on a project aimed at predicting achievement goal orientation through vocal features. His work significantly enhances the intersection of management strategy and technology-driven psychological research, contributing valuable insights to both fields.
Image of Pavithra Priyadarshini Selvakumar
Pavithra Priyadarshini Selvakumar
Pavi Selvakumar, is a Ph.D. candidate from the Environmental Science Graduate Program at Oklahoma State University. After completing her Bachelor's in Information Technology at Anna University, India, she went on to earn her Master's in Environmental Assessment and Management at the University of East Anglia, United Kingdom. Her research interests include environmental stewardship, enhancing university campus sustainability, and promoting environmental sustainability through Corporate Social Responsibility (CSR). In the future, Pavi aspires to get into academia, pursuing path-breaking research in the field of environmental sustainability and being a part of an endearing teaching fraternity.
Image of Sayli Shivalkar
Sayli Shivalkar
Sayli Shivalkar is pursuing a Master's in Data Science at the University of Rochester. She focuses on creating data science systems that solve fundamental issues and generate measurable impacts. Having co-founded a data science startup in the agri-tech space to improve agricultural productivity, she aspires to use data to solve social issues. Her areas of interest are Responsible AI, knowledge graphs, signal processing, and AI Product Management. She has worked on applications of data science in NIR spectroscopy, LLMs, recommendation systems, CPG, knowledge graphs, and venture capital. Her motto is to learn and unlearn effectively with a passion for making data science accessible to everyone.
Image of Suganya Schmura
Suganya Schmura
Suganya Rajendran Schmura is a PhD student in the Department of Linguistics at the University of Rochester. Her research interests include sociolinguistics, Tamil heritage language maintenance and identity, language variation and change, linguistic anthropology, and arts-based ethnography. She is currently investigating a linguistic variable in Tamil that seems to be grammaticalizing, or shifting from a lexical word to a grammatical unit, by employing both quantitative and qualitative methods within a natural language corpus she created. Suganya holds an MS in Applied Linguistics from Texas A&M University-Commerce and a BS in Biological Sciences from Carnegie Mellon University.
Image of Tianhui Wu
Tianhui Wu
Tianhui Wu is a PhD student in the Department of Political Science at The University of Iowa, with a keen interest in comparative public opinion and political behaviors. Her current research focuses on perceived corruption, mass media, and contentious politics, employing both statistical and computational methods. She earned her BA in Political Science and Public Administration from Fudan University and her MA in Political Theory from Sun Yat-sen University.
Image of Wei-Lun Lo
Wei-Lun Lo
Wei-Lun Lo is a PhD student in Economics at the University of Rochester. His research interests span health, causal inference, and family economics. His research investigates impacts of children’s health on families' decision-making. He is also broadly interested in applying and integrating techniques from analyses of text corpora and geographic patterns to generate new insights into healthcare fraud and abuse. He holds an MA in Economics from the University of Wisconsin-Madison and a BBA in Finance from National Taiwan University.
Image of Yitao Yu
Yitao Yu
Yitao Yu is a new graduate Data Science student at the University of Rochester. During his undergraduate program, he primarily focused on studying Machine Learning and its various fields of application. He also uses Kaggle in his leisure time, learning to solve different tasks such as recommendation systems, image description, visual localization, time series, and more.
Image of Zhe Chen
Zhe Chen
Zhe Chen is currently pursuing her doctoral degree at the Warner School of Education. Simultaneously, she is enrolled as a student in the M.S. in Data Science program at the Goergen Institute for Data Science. She holds a Master's degree in Education Policy from the University of Rochester and a Master's degree in International Education from UNC-Chapel Hill. Her research focuses on examining education policy, social movements such as the opt-out movement and teachers' strikes, and rural education using national representative data.

Rutgers

All Participants


Image of Michael Kenwick
Michael Kenwick
Michael Kenwick is an Assistant Professor of Political Science at Rutgers University.
Image of Katie McCabe
Katie McCabe
Katie McCabe is an Associate Professor of Political Science at Rutgers University.
Image of Andrey Tomashevskiy
Andrey Tomashevskiy
Andrey Tomashevskiy is an Assistant Professor of Political Science at Rutgers University.
Image of Thomas R. Davidson
Thomas R. Davidson
Thomas R. Davidson is an Assistant Professor of Sociology at Rutgers University.
Image of Kiran Garimella
Kiran Garimella
Kiran Garimella is an Assistant Professor of Library and Information Science at Rutgers University
Image of Katya Ognyanova
Katya Ognyanova
Katya Ognyanova is an Associate Professor at the School of Communication and Information at Rutgers University.
More coming soon!
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Image of Samantha Koprowski
Samantha Koprowski
Samantha Koprowski is a PhD student in Political Science at Rutgers University studying Women & Politics and American Politics.

Singapore

All Participants


Image of Han Li
Han Li
Han Li is a postdoctoral research fellow in the Department of Communication and New Media at National University of Singapore. Her research focuses on AI in healthcare, computational communication, human-computer interaction, and online support communities. As a computational and mixed-method researcher, she used a wide variety of research methods to explore how information and communication technologies can be designed and used to improve health and well-being, enhanced social relationship, and contribute to social good.
Image of Rongxin Ouyang
Rongxin Ouyang
Rongxin Ouyang is an PhD student at the Department of Communications and New Media at the National University of Singapore. He researches the societal and political implications of digital media using computational, causal, or quantitative methods; with a particular interest in the inequality and audience engagement of social media.
Image of Anita Kuei-Chun Liu
Anita Kuei-Chun Liu
Anita Kuei-Chun Liu is a Postdoctoal Fellow in the Department of Communication and New Media at National University of Singapore. Her research focuses on social movements, public opinion, and framing effects in political, health, and science information contexts. Her work draws methods from social and computer sciences to explore the online discussion and role of social media, in the promotion of social movements and social change, and the effects of campaign framing on public opinion(e.g., computational text analysis, network analysis and experiment). She recevided a M.A. in Communication and Information from Rutgers University–New Brunswick, and a Ph.D. in Communication from the University at Buffalo, State University of New York.
Image of Jinyuan Zhan
Jinyuan Zhan
Jinyuan Zhan is a Ph.D. student in the Department of Communication and New Media at National University of Singapore. Her research interests lie in health communication, human-machine relationship and media psychology. She is currently investigating the potential harms of AI and how they could impact human's mental and physical health.
Image of Renwen Zhang
Renwen Zhang
Renwen Zhang is an Assistant Professor at the Department of Communications and New Media at the National University of Singapore. Her research lies at the intersection of health communication, human-computer interaction, and interpersonal communication. She examines the design, use, and effects of digital technology for promoting wellbeing and mental health.
Image of Subhayan Mukerjee
Subhayan Mukerjee
Subhayan Mukerjee is an Assistant Professor at the Department of Communications and New Media, and a principal investigator at the Centre for Trusted Internet and Community at the National University of Singapore. He researches online audiences using computational methods, and teaches courses in quantitative methods, programming, and data visualization.
Image of Prasanta Bhattacharya
Prasanta Bhattacharya
Dr. Prasanta Bhattacharya is a Senior Scientist and Innovation Lead with the Social and Cognitive Computing Department at the Institute of High Performance Computing (IHPC), A*STAR Singapore, where he works on network science and behavioral analytics. Prasanta holds a Ph.D in Information Systems from the Department of Information Systems and Analytics, National University of Singapore, where he studied network science with a special focus on predictive and inferential methods in large social networks. His current research agenda aims at understanding the role of big data in emerging social and business applications from finance, education and healthcare. Prasanta actively collaborates with major industry partners from around the world, and has presented his research in leading computer science, information systems and marketing science venues.
Image of Noshir Contractor
Noshir Contractor
Dr. Noshir Contractor is the Jane S. & William J. White Professor of Behavioral Sciences in the McCormick School of Engineering & Applied Science, the School of Communication and the Kellogg School of Management and Director of the Science of Networks in Communities (SONIC) Research Group at Northwestern University. He is also the former President of the International Communication Association (ICA). Professor Contractor has been at the forefront of three emerging interdisciplines: network science, computational social science and web science. He is investigating how social and knowledge networks form – and perform – in contexts including business, scientific communities, healthcare and space travel.
Image of He Tianyu
He Tianyu
Dr. Tianyu [tea-n-you] is an Assistant Professor of Management and Organisation at the National University of Singapore Business School. She received her.D. in Management from INSEAD; M.A. in Sociology from Emory University; LL.B in Sociology and B.S. in Psychology from Peking University. She is curious about characteristics that set high-performing groups apart and seek to discover ways to enhance collaborative problem-solving and creativity. Employing a dynamic mixed-methods approach, her research delves into well-established aspects of designing groups, such as effective hierarchies and leadership, while also exploring exciting new frontiers such as the integration of technological tools and Artificial Intelligence in collaboration.
Image of Yingdan Lu
Yingdan Lu
Yingdan Lu (PhD, Stanford University) is an Assistant Professor of Communication Studies in the School of Communication at Northwestern University. Her research focuses on digital technology, political communication, and information manipulation in authoritarian and democratic contexts. Her research employs both computational and qualitative methods to understand how authoritarian governments use digital media and artificial intelligence to maintain their rule, and how individuals experience visual media and the impacts. Her work has appeared in peer-reviewed journals such as Political Communication, New Media & Society, Human-Computer Interaction, Computational Communication Research, and among other peer-reviewed journals.
Image of Jiaxin Pei
Jiaxin Pei
Jiaxin Pei is a fifth-year PhD Candidate at the School of Information, University of Michigan. He works on Human-centered AI, NLP, Information Systems and Computational Social Science. He is the author of POTATO, an open-source machine learning annotation system used by worldwide institutions. His work has received best paper and honorable mention awards at multiple conferences and workshops.
Image of Koustuv Saha
Koustuv Saha
Koustuv Saha is an Assistant Professor of Computer Science at the University of Illinois Urbana-Champaign. He completed his Ph.D. in Computer Science from Georgia Tech in 2021. His research interests are in social computing, computational social science, human-centered machine learning, and FATE. He adopts machine learning, natural language, and causal inference analysis to examine human behavior and wellbeing using different forms of digital data, including social media and multimodal sensing data. His work questions the underlying assumptions of data-driven inferences and the possible harms such inferences might lead to. His research is situated in an interdisciplinary and human-centered context and bears implications for various stakeholders. His work has been published at various venues, including CHI, CSCW, ICWSM, IMWUT (UbiComp), Scientific Reports, JMIR, FAccT, among others. He is a recipient of the 2021 Outstanding Doctoral Dissertation Award from the College of Computing at Georgia Tech, Foley Scholarship Award from the GVU Center, Snap Research Fellowship, and a finalist of the Symantec Graduate Fellowship. His research has won the Outstanding Study Design Award at ICWSM, and has been covered by several media outlets, including the New York Times, Vox, CBC Radio, NBC, 11Alive, the Hill, and the Commonwealth Times. He was previously a Senior Researcher at Microsoft Research, Montreal, in the Fairness, Accountability, Transparency, and Ethics in AI (FATE) group. During his Ph.D., he did research internships at Snap Research, Microsoft Research, Max Planck Institute, and Fred Hutch Cancer Research. Earlier, he completed his B.Tech (Hons.) in Computer Science and Engineering from the Indian Institute of Technology (IIT) Kharagpur. He was awarded the NTSE Scholarship by the Govt. of India, and he has six years of overall industry research experience.
Image of Joe Simons
Joe Simons
Dr. Joe Simons is a Principal Scientist and Group Manager (Social & Behavioural Inference) in the Social & Cognitive Computing (SCC) Department at the Institute of High Performance Computing (IHPC) and Lead of A*STAR’s Social Sciences & Technology Horizontal Technology Programme Office (SST HTCO). A social psychologist by training, he has extensive experience collaborating with computational scientists and leading interdisciplinary research teams. His work applies methodologies from both behaviorual and computational sciences – such as predictive modelling and language processing - to better address social-behavioural questions. His research has been featured in outlets including Communication Research, IEEE Pervasive Computing, and Media Psychology
Image of Chris Chao Su
Chris Chao Su
Chris Chao Su (Ph.D., The Chinese University of Hong Kong) is an assistant professor of Emerging Media Studies (EMS) and Computing & Data Science (CDS) at Boston University, USA. His research examines the intersection of media audiences, social media, and platform governance, employing computational methods. His work has been published in the Journal of Communication, New Media & Society, Digital Journalism, The International Journal of Press/Politics, Journalism & Mass Communication Quarterly, International Journal of Communication, etc.
Image of Liang Ze Wong
Liang Ze Wong
Dr. Liang Ze Wong is a Senior Scientist at IHPC. He also teaches business analytics at NUS Business School, where he is an adjunct assistant professor. He holds a Ph.D. in Mathematics from the University of Washington, where he researched abstract algebra and topology. His current interests are in natural language processing, topic modelling, data analytics, and in applications of large language models to qualitative social science research. He was an attendee of SICSS-Singapore 2023.
Image of Diyi Yang
Diyi Yang
Diyi Yang is an assistant professor in the Computer Science Department at Stanford University. Her research focuses on human-centered natural language processing and computational social science. She is a recipient of Microsoft Research Faculty Fellowship (2021), NSF CAREER Award (2022), ONR Young Investigator Award (2023), and Sloan Research Fellowship (2024). Her work has received multiple paper awards or nominations at top NLP and HCI conferences (e.g., ACL, EMNLP, SIGCHI, and CSCW).
Image of Chao Yu
Chao Yu
Chao Yu (Ph.D., Cornell University) is an Assistant Professor in the Department of Communications and New Media at the National University of Singapore. His research focuses on social impacts of new media. He uses big data studies to uncover hidden patterns on new media platforms that can create inequalities or biases, as well as identifying policies and strategies to improve them.
Image of Alvin Zhou
Alvin Zhou
Dr. Alvin Zhou is an Assistant Professor at the Hubbard School of Journalism and Mass Communication. His research centers around computational social science and strategic communication. His work has appeared in journals across communication subfields, including New Media & Society, Journal of Communication, Journal of Public Relations Research, Journal of Computer-Mediated Communication, Mass Communication and Society, Public Relations Review, Social Media + Society, and Political Communication. Dr. Zhou earned his Ph.D. in Communication from the University of Pennsylvania Annenberg School. Prior to that, he earned an M.A. in Statistics and Data Science from the Wharton School and an M.A. in Strategic Public Relations from the University of Southern California Annenberg School. He graduated from Tsinghua University with dual degrees in Mechanical Engineering and Journalism.
Image of Xueyan Cao, The Chinese University of Hong Kong
Xueyan Cao, The Chinese University of Hong Kong
Xueyan Cao is a Ph.D. student in the School of Journalism and Communication at the Chinese University of Hong Kong. Her research interest involves health communication and human-machine interaction. She attempts to explore the interaction between health beliefs and the media environment through the computational approach.
Image of Yi Ting Chen, University of Wisconsin-Madison
Yi Ting Chen, University of Wisconsin-Madison
Yi Ting Chen is a MA Research student at the School of Journalism and Mass Communication in the University of Wisconsin-Madison. Her research interests include computational communication, social media and news. She is particularly keen in exploring the impact of regulations on news production and consumption.
Image of Victoria Chua, Nanyang Technological University
Victoria Chua, Nanyang Technological University
Victoria Chua is a master’s student in Psychology (Research), and the mental health product manager in Mindsigns Health, a start-up focused on neuropsychiatric care. Victoria’s research interests involve drawing upon psychological and computational methods to analyse and understand teamwork communications, parent-child interactions, extremist content and digital mental health.
Image of Jianing Deng, Duke University
Jianing Deng, Duke University
Jianing Deng is a master student at Duke University, political science department. She majors in Behavior and Identity and sub-major in Political Methodology at Duke. Her research attempts to investigate political communication, especially propaganda in authoritarian regime, with a regional focus on China. Methodologically, she interest in using computational methods to analyze the dynamics of state-citizen interaction in digital spaces. Prior to graduate school, she received BA in political science at Zhejiang University, Hangzhou in 2023.
Image of Min Gong, National University of Singapore
Min Gong, National University of Singapore
Min Gong is a first-year PhD student at the Lee Kuan Yew School of Public Policy, National University of Singapore, and her research interests include the trade-off between data use and privacy protection, the balance between privacy policy formulation and generative AI evolution, racial representation and meritocracy in public service systems, etc.
Image of Kunmei Han, National University of Singapore
Kunmei Han, National University of Singapore
Kunmei Han is a PhD candidate in Department of English, Linguistics, and Theatre Studies at National University of Singapore. Kunmei’s research focus on corpus linguistics and clinical linguistics. Her current study investigates language changes in a normal aging process. Kunmei got her bachelor’s degree from Chinese University of Hong Kong.
Image of Yuhan Hu, University of Oxford
Yuhan Hu, University of Oxford
Yuhan Hu is a DPhil candidate in Politics at University of Oxford and currently an exchange scholar at Yale University. She applies computational methods to study contentious politics under authoritarian contexts. Her ongoing DPhil thesis examines the authoritarian regimes’ responses to collective action.
Image of Tengjiao Huang, DSO National Laboratories
Tengjiao Huang, DSO National Laboratories
Dr. Huang Tengjiao, Senior Social and Behavioural Research Scientist at DSO National Laboratories, leverages psychological insights to bolster national security. Holding a Ph.D. in Psychology from Singapore Management University, she has published research that informs and addresses critical global issues like climate change. Her expertise includes motivation, individual differences, and decision-making, with a current interest in harnessing computational techniques to address societal challenges.
Image of Xiaoyun Huang, The Chinese University of Hong Kong
Xiaoyun Huang, The Chinese University of Hong Kong
Xiaoyun Hunag is an MPhil student in Communication at the Chinese University of Hong Kong. With an interdisciplinary background in both engineering and social science, she conducts mixed-method projects that combine perspectives of computational social science and qualitative studies. Currently, she is working on her MPhil thesis on feminism and digital communities.
Image of Jianfeng Lan, Shanghai Jiao Tong University
Jianfeng Lan, Shanghai Jiao Tong University
Jianfeng (Jeff) Lan is a Ph.D. student at Shanghai Jiao Tong University, School of Media and Communication. His research specializes in human-machine communication, with a focus on the socio-psychological impact on various social relationships such as intimacy, trust, and collaboration. His previous research encompassed topics like virtual uploaders (VUP), gender stereotypes in machine interactions, and the dynamics of human-machine love affairs.
Image of Gionnieve Lim, Singapore University of Technology and Design
Gionnieve Lim, Singapore University of Technology and Design
Gionnieve Lim is a doctoral student at the Singapore University of Technology and Design. Her work lies at the intersection of human-AI interaction and misinformation, where she investigates the use of automated labelling interventions to mitigate misinformation on social media. She is interested in how collaboration takes place between humans and AI and takes a human-centered approach in her work, focusing on aspects like trust and agency.
Image of Xinyi Liu, Northwestern University
Xinyi Liu, Northwestern University
Xinyi Liu is a Master’s student at Nanyang Technological University, and an incoming student at Northwestern. She is interested in experimental and computational methods to study digital media technologies in various topics.
Image of Siyuan Brandon Loh, Institute of High Performance Computing (Astar)
Siyuan Brandon Loh, Institute of High Performance Computing (Astar)
Brandon is concurrently a research engineer at the Institute of High Performance Computing and is pursuing an MS in Statistics at the National University of Singapore. He is incredibly passionate about advancing social science research through honest and transparent data science practises.
Image of Qianfeng Lu, Università della Svizzera italiana
Qianfeng Lu, Università della Svizzera italiana
Qianfeng Lu is a PhD candidate in the Faculty of Communication, Culture, and Society at the Università della Svizzera italiana (University of Lugano) in Switzerland. Her research focuses on patient-provider communication, patient empowerment, and health literacy. Her work has been published in journals such as the Journal of Medical Internet Research, BMC Public Health, and Patient Education and Counseling. Her latest research explores physicians' roles in protecting patients from misinformation on social media.
Image of Tianqi Song, National University of Singapore
Tianqi Song, National University of Singapore
Tianqi Song is currently a PhD student in Computer Science at the National University of Singapore. Her work lies at the intersection of computer science, design and psychology, including human-centered AI, human-AI collaboration and visualization. Her recent work has focused on designing multi-agent systems for social good and exploring AI literacy for marginalized groups.
Image of Jiajun Tang, Nanjing University
Jiajun Tang, Nanjing University
Jiajun Tang is a master's student at the School of Information Management, Nanjing University. His research interests focus on library and information science. He attempts to study issues related to reading in society using methods such as large-scale text analysis and complex network analysis.
Image of Youyi Wei, The Chinese University of Hong Kong
Youyi Wei, The Chinese University of Hong Kong
Youyi Wei is a PhD student in the School of Journalism and Communication at the Chinese University of Hong Kong. Her research interests are digital journalism and computational social science. She is exploring visual media in witness news and gatekeeping dynamics on social media.
Image of Tianyi Yang, University of Massachusetts Amherst
Tianyi Yang, University of Massachusetts Amherst
Tianyi Yang is a PhD student in Communication at the University of Massachusetts Amherst. Her research interests include online collective action, youth culture, and algorithmic impact. She is exploring popular culture topics by combining computational methods with qualitative methods.
Image of Xuzhen Yang, Michigan State University
Xuzhen Yang, Michigan State University
Xuzhen is an incoming PhD student in the Department of Communication at Michigan State University. Her general research interests lie in computational social science, news platformization, mobile media, and media ecology. From a computational methodology perspective, she is particularly drawn towards social network analysis, automated content/text analysis, and causal inference. She is currently using the Large Language Model to examine the manipulative tactics applied by news media across multiple platforms.
Image of Guangyu Cui
Guangyu Cui
Guangyu is a research assistant at the Centre for Trusted Internet and Community at the National University of Singapore majored in Data Science and Analytics. His research interest lies in utilizing Natural Language Processing (NLP) approaches and Large Language Models to better understand human linguistic behaviours on online communities and social media.

UCLA

All Participants


Image of Jennie Brand
Jennie Brand
Jennie E. Brand is Professor of Sociology and Statistics at the University of California, Los Angeles (UCLA). She is Co-Director of the Center for Social Statistics (CSS) at UCLA. She has been Chair of the Methodology Section and the Inequality, Poverty, and Mobility Section of the American Sociological Association (ASA), and Vice-President of the Board of the International Sociological Association (ISA) Research Committee on Social Stratification and Mobility (RC28). She previously served on the councils of the ASA Methodology, Sociology of Education, and Inequality, Poverty, and Mobility sections. She was elected to the Sociological Research Association (SRA), an honor society for excellence in research, in 2019, and received the ASA Methodology Leo Goodman Mid-Career Award in 2016, and honorable mention for the ASA Inequality, Poverty, and Mobility William Julius Wilson Mid-Career Award in 2014. Prof. Brand is a member of the Technical Review Committee for the National Longitudinal Surveys Program at the Bureau of Labor Statistics. She was previously a member of the Board of Overseers of the General Social Survey (GSS). She is Associate Editor of AAAS’s Science Advances, the open access extension of Science magazine, and serves on the editorial boards of Social Forces, Sociological Methodology, Sociological Methods and Research, Sociological Science, and Sociology Compass. She also previously served on the boards of American Sociological Review, Demography, and SAGE Research Methods. Prof. Brand studies social stratification and inequality, mobility, social demography, education, and methods for causal inference.
Image of Ian Lundberg
Ian Lundberg
Ian Lundberg is an Assistant Professor of Information Science at Cornell University. His research develops statistical methods and applies those methods to questions about inequality, poverty, and mobility. After completing his PhD in sociology at Princeton University, Ian spent one year as a postdoctoral scholar in the Department of Sociology at UCLA. Ian enjoys hiking, surfing, and making oatmeal with blueberries.
Image of Kristin Liao
Kristin Liao
Kristin Liao is a PhD student in Sociology, a Master's student in Statistics and Data Science, and a NICHD trainee at the California Center for Population Research at UCLA. Kristin studies the social stratification and mobility of diverse immigrant populations in the US labor market and how higher education and family demographic processes shape their heterogeneous trajectories. Kristin is also interested in using causal inference and computational methods to motivate development in social theories.
Image of Christina Wilmot
Christina Wilmot
Christina Wilmot is a Ph.D. student in sociology at UCLA. Previously, she studied computer science and worked as a software engineer at Google. She is interested in the varying intersections of technology and society, including using novel computational methods to analyze social information, studying online social behavior, and looking at the effects of the adoption of new technologies on a society. She also aims to make computational methods more accessible to social researchers from a variety of substantive and methodological fields.
Image of Shibing Zhou
Shibing Zhou
Shibing Zhou is a doctoral student in the UCLA Sociology department. Her research interests lie in the intersection of political sociology and science and technology studies. Methodologically, She is interested in text analysis. She holds a BS in Physics and Math from the University of Michigan and a MA in Sociology from the University of Chicago.

UP(Coming Soon!)

All Participants


Uruguay

All Participants


Image of Guillermo Lezama
Guillermo Lezama
Guillermo Lezama is a Ph.D. Candidate in Economics at the University of Pittsburgh. He was born and raised in Uruguay, where he also completed his undergraduate studies at the Universidad de la República (Udelar). His research interests lie in the field of Political Economy, specifically in the different approaches that can be used to address Political Economy questions. He is particularly interested in the application of text-learning methods and applied microeconomics to study political behavior.
Image of Elina Gómez
Elina Gómez
Elina Gómez is a Sociologist, Master in Contemporary Latin American Studies and PhD candidate in Sociology at the Faculty of Social Sciences of the University of the Republic. She is a professor and researcher at the Methods and Data Access Unit (UMAD) of the Faculty of Social Sciences of the University of the Republic. Her work focuses on the field of computational social sciences and massive text processing. She teaches undergraduate and graduate courses in programming and text analysis with R.
Image of Fabricio Carneiro
Fabricio Carneiro
Fabricio Carneiro is a Political Scientist, Master in Political Science by the Universidad Torcuato Di Tella of Buenos Aires and PhD candidate in Political Science by the same University. His research agenda is focused on issues of comparative political economy and comparative politics, in particular wage bargaining models, social policies and redistributive policies.
Image of Nicolás Schmidt
Nicolás Schmidt
Nicolás Schmidt is a PhD Candidate in Political Science of the University of the Republic (Udelar). He is a member of the coordination team of the Methods and Data Access Unit of the Faculty of Social Sciences. His research agenda focuses on the field of political parties, electoral systems and political regimes, as well as statistical methods applied to political science.
Image of Ivan Schuliaquer
Ivan Schuliaquer
Ivan Schuliaquer is a researcher at the National Council for Scientific and Technical Research (CONICET, Argentina), professor at the School of Politics and Government of the National University of San Martín (UNSAM, Argentina) and associate researcher at the IRMECCEN (Sorbonne Nouvelle, France). He is a Political Scientist, and he holds a PhD in Social Sciences from the University of Buenos Aires and a PhD in Information and Communication Sciences from the Sorbonne Nouvelle-Paris 3. His research focuses on media systems, political communication, social media, comparative politics and political polarization.
Image of Sergio Toro
Sergio Toro
Sergio Toro is PhD in Political Science. Professor of the School of Government at the Universidad Mayor. He specializes in comparative politics, Chilean politics and data science for public policy. His specialty is comparative politics, Chilean politics and data science for public policy, subjects in which he has been responsible for FONDECYT and FONDEF projects.
Image of Martín Opertti
Martín Opertti
Martín Opertti is a Ph.D. Student in Political Science at Duke University. His research focuses on mass political behavior and psychology, with a focus on political information processing and political identities. He is also interested in the application of social network analysis and text as data methods to study online political behavior, particularly political homophily in online interactions.
Image of Germán Rosati
Germán Rosati
Germán Rosati is a sociologist, Ph.D. in Social Sciences from the University of Buenos Aires, and Master in Generation and Analysis of Statistical Information from the National University of Tres de Febrero. He is an Adjunct Researcher at the National Scientific and Technical Research Council (CONICET) of Argentina. He coordinates the factor~data-laboratory of Computational Social Sciences in the University Diploma in Computational Social Sciences and Digital Humanities at EIDAES-UNSAM. His research focuses on social and agrarian structure and also explores possible applications of Natural Language Processing techniques in the Social Sciences.
Image of Ignacio Zuasnabar
Ignacio Zuasnabar
Ignacio Zuasnabar is Sociologist, Master in Society, Economy and Politics of Latin America by the UPV. Professor at the Catholic University of Uruguay and the University of Montevideo on Political Behavior and Public Opinion. Public opinion researcher. Director of the Public Opinion Area of Equipos Consultores. Chair of the Professional Standards Committee of WAPOR (World Association for Public Opinion Research), and member of the Board of Directors of that organization. Consultant to several international organizations.
Image of Jimena Torres
Jimena Torres
Jimena Torres Álvarez es Licenciada en Ciencia Política y Maestranda en Información y Comunicación (FIC-Udelar). Actualmente se encuentra realizando su tesis de Maestría sobre políticas de telecomunicaciones y medios en Uruguay. Es asistente de investigación del proyecto “Política, polarización y redes sociales en Uruguay” financiado por la fundación Friedrich Ebert Stiftung. Colabora en el proyecto de investigación “Política, medios y redes en escenarios polarizados una comparación entre Argentina, Brasil y Uruguay” del Área de Medios, Discursos y Política de la EPyG-UNSAM.
Image of Sara González
Sara González
Sara González is an associate degree in Social Communication and a student of Sociology.She has work experience in systematization and monitoring of public policies. Her research interests focus on the field of Digital Sociology and the application of the multimethod approach. Her undergraduate thesis studies the Framing and agenda settings of crime news through a multi-method approach.

2023


Abu Dhabi

All Participants


Image of Bedoor AlShebli
Bedoor AlShebli
Bedoor AlShebli is an Assistant Professor of Computational Social Science at NYUAD. She received her PhD in Interdisciplinary Engineering in 2017 from Masdar Institute of Science and Technology, and her MSc in Computer Science from the University of Illinois at Urbana-Champaign. Bedoor's research focuses on using data science techniques to study social phenomena, with a particular emphasis in the Science of Science. She is interested in the social and economic benefits of diversity, as well as the dynamics of social interaction and cohesion, and frames social science problems in the contexts of data science, big data, and applied machine learning. Her work appeared in major academic journals, including Nature Human Behavior, Nature Communications, Science Advances, and the Proceedings of the National Academy of Sciences. Cumulatively, her work contributes to the fields of computational social science, data science, and machine learning.
Image of Kinga Makovi
Kinga Makovi
Kinga Makovi is an Assistant Professor at New York University Abu Dhabi. She is a co-PI of the Center for Interacting Urban Networks at NYUAD, CITIES. Prior to joining NYUAD, she earned a PhD in Sociology from Columbia University and a MS in Mathematical Economics from Corvinus University of Budapest. Makovi's research addresses questions at the intersection of network science, the social determinants of health and environmental behavior, using computational and experimental methods. Her research has been funded by the National Science Foundation and has appeared in Sociological Science and Network Science.
Image of Mario D. Molina
Mario D. Molina
Mario is a Postdoctoral Associate in the Social Science Division at New York University Abu Dhabi, and he will start as an assistant professor at NYUAD in the Fall of 2024. He holds a PhD in Sociology from Cornell University, an MA in Sociology from Universidad Catolica de Chile, and a BA in Philosophy from Universidad de los Andes (Chile). His research lies at the interface of economic sociology, social networks, and computational social science. He broadly considers how organizational structures and network dynamics impact beliefs about unequal rewards and prosocial behaviors and the mechanisms that feedback to sustain or disrupt these social systems. His work has appeared in Organization Science, Science Advances, and the Annual Review of Sociology, among other outlets.
Image of Minsu Park
Minsu Park
Minsu Park is an Assistant Professor of Social Research and Public Policy at New York University Abu Dhabi. He develops and applies quantitative and computational methods to study the consumption and production of creative work. His current projects focus on how cultural artifacts/interests flow worldwide and how social traces, such as ratings, reviews, and reviewer identities, shape audiences’ perceptions and engagements online. His research inhabits an interdisciplinary nexus between data science and social science, simultaneously drawing on and contributing to both, and has been published in top-tier venues in both computer and information science conferences (e.g., ISMIR, ICWSM) and interdisciplinary journals (e.g., Science Advances, Nature Human Behaviour). He received his doctorate in Information Science at Cornell University, where he was a member of the Social Dynamics Lab. He is also affiliated with the Center for Data Science at New York University.
Image of Luca Maria Pesando
Luca Maria Pesando
Luca Maria Pesando is an Associate Professor of Social Research and Public Policy at NYU-AD. Luca holds a PhD in Demography and Sociology from the University of Pennsylvania, and an MA and BA in Economics and Social Sciences from Bocconi University. His research lies in the areas of social, economic, and digital demography and explores the interactions between family change and educational inequalities in low- and middle-income countries. More recently, he has conducted research using social media data from Google and Facebook. Having worked with JPAL, the OECD, UNICEF, and other NGOs, Luca has extensive experience in the policy world.
Image of Abdullah Almaatouq
Abdullah Almaatouq
Abdullah Almaatouq is a computational social scientist and Assistant Professor at the MIT Sloan School of Management. His research focuses on improving cooperation, coordination, and collective intelligence in decision-making systems, such as teams, committees, crowds, markets, and elections. Abdullah also explores ways to advance social and behavioral research methodology through innovative research designs and theory-building strategies, with the ultimate goal of developing a deeper understanding of collective decision systems and how to design them effectively in various contexts. He is affiliated with the MIT Center for Computational Engineering, the MIT Center for Collective Intelligence, and the MIT Connection Science Research Initiative. Abdullah holds a PhD in Computational Science and Engineering, as well as dual master's degrees in Media Arts and Sciences (MIT Media Lab) and Computational Science and Engineering from MIT. Prior to joining MIT, he earned his undergraduate degree from Southampton University in the United Kingdom. Professor Almaatouq will give a talk on January 18th, 2024 (tentative).
Image of Edmond Awad
Edmond Awad
Edmond Awad is a Senior Research Fellow at The Oxford Uehiro Centre for Practical Ethics and the Wellcome Centre for Ethics and Humanities at University of Oxford. Concurrently, Edmond is a Senior Lecturer (Assistant Professor) in the Department of Economics and the Institute for Data Science and Artificial Intelligence at the University of Exeter. In addition, Edmond is an Associate Research Scientist at the Max Planck Institute for Human Development and a Turing Fellow at the Alan Turing Institute. Before joining the University of Exeter, Edmond was a Postdoctoral Associate at MIT Media Lab (2017-2019). In 2016, Edmond led the design and development of Moral Machine, a website that gathers human decisions on moral dilemmas faced by driverless cars. The website has been visited by over 10 million users, who contributed their judgements on 100 million dilemmas. Another website that Edmond co-created, called MyGoodness, collected judgments over 3 million charity dilemmas. Edmond’s work appeared in major academic journals, including Nature, PNAS, and Nature Human Behaviour, and it has been covered in major media outlets including The Associated Press, The New York Times, The Washington Post, Der Spiegel, Le Monde and El Pais. Edmond has a bachelor degree (2007) in Informatics Engineering from Tishreen University (Syria), a master’s degree (2011) in Computing and Information Science and a PhD (2015) in Interdisciplinary Engineering from Khalifa University (UAE), and a master’s degree (2017) in Media Arts and Sciences from MIT. Edmond’s research interests are in the areas of AI, Ethics, Computational Social Science and Multi-agent Systems.
Image of Milena Tsvetkova
Milena Tsvetkova
Milena Tsvetkova is Assistant Professor of Computational Social Science at the Department of Methodology at the London School of Economics and Political Science. She completed her PhD in Sociology at Cornell University and postdoctoral research at the Oxford Internet Institute. In her research, she uses web-based experiments, agent-based modeling, network analysis, and machine learning on online data to investigate fundamental social phenomena such as cooperation, social contagion, segregation, and inequality. Her work has been sponsored by the US National Science Foundation and Germany’s Volkswagen Foundation, published in high-impact disciplinary and general science journals such as New Media & Society, Sociological Methods & Research, EPJ Data Science, and Science Advances, and covered by The New York Times, The Guardian, and Science, among others. Professor Tsvetkova will give a talk on January 11th, 2024.
Image of Kareem El-Rafei
Kareem El-Rafei
Kareem is a Research Associate in the Social Science Division at New York University Abu Dhabi. He holds a MSc in Data Analytics from Georgia Institute of Technology, as well as a MSc and a BSc in Mechanical Engineering from the American University in Cairo. His research lies at the intersection of Computational Social Sciences, Data Science and Machine Learning. His work basically focuses on the development of ML models that analyze big data to address critical questions in the field of Social Sciences such as investigating coverage bias and the migration of scientists. He is advised by Dr. Bedoor Al Shebli at NYUAD and is highly interested in the integration of Machine Learning and Social Sciences.
Image of Fengyuan
Fengyuan "Michael" Liu
Michael is a Global PhD Fellow at New York University, advised by Professor Talal Rahwan and Professor Bedoor AlShebli. His research focuses on computational social science and the science of science. Using methods from social science, network science, and computer science, he studies various aspects of scientific editors and the publication process of scientific papers. His work has appeared in Nature Human Behaviour and Proceedings of the National Academy of Sciences, as well as being featured in media outlets such as Nature News, Times Higher Education, and AAAS Eureka Alert. When he is not working, you will likely find him jogging or playing chess.
Image of Thomas Marlow
Thomas Marlow
Thomas Marlow is a postdoctoral fellow at the New York University Abu Dhabi, Center for Interacting Urban Networks (CITIES). Thomas received his PhD in Sociology from Brown University in Spring 2020. His research sits at the intersection of environmental and urban sociology. It seeks to use innovative computational social science methodologies to answer questions about the emergence and maintenance of urban and environmental inequalities during global climate change.
Image of Maria Sahakyan
Maria Sahakyan
Maria Sahakyan obtained her Ph.D. in Electrical Engineering and Computer Science from Khalifa University. Currently she holds the position of a postdoctoral associate at New York University Abu Dhabi, in Computational Social Science. She primarily focuses her academic endeavors on computational social science and explainable artificial intelligence by exploring the societal and economic advantages associated with diversity, while also leveraging XAI methodologies as versatile instruments for data analysis.
Image of Anahit Sargsyan
Anahit Sargsyan
Anahit Sargsyan is a PhD student at TUM School of Social Sciences and Technology. Her research lies at the intersection of Computational Social Science, Data Science and AI. From deciphering the complexities of social media networks to investigating the subtle nuances of information decay patterns, she aims to understand how people interact and behave in the digital landscape.
Image of Abdul Basit Adeel
Abdul Basit Adeel
I am an analytical and computational sociologist currently enrolled in a dual-title Sociology and Social Data Analytics (STEM) Ph.D. program at The Pennsylvania State University. My interests include collective behavior, social complexity, networks, and social cognition. I use agent-based modeling, epidemiological methods, spatial econometrics, and network analysis, among other techniques, to understand (1) how collective behavioral patterns emerge from autonomous, spontaneous interactions, and (2) how things (ideas, norms, behaviors, innovations, products, etc.) spread.
Image of Abdullah Alibrahim
Abdullah Alibrahim
Dr. Abdullah Alibrahim is an Assistant Professor at the College of Engineering and Petroleum, Kuwait University, specializing in Systems Engineering. Dr. Alibrahim is a Research Fellow at Harvard Kennedy School's Middle East Initiative and a Visiting Research Fellow at the London School of Economics Middle East Centre, among other prestigious institutions. His work focuses on innovative engineering approaches to tackle crucial healthcare challenges, leveraging systems engineering, complexity science, and data analytics to design impactful health policies. He has published and presented extensively on healthcare policy across diverse settings on quality of care, patient choice, and politics of healthcare.
Image of Mohammed Alsobay
Mohammed Alsobay
Mohammed Alsobay is a PhD candidate in the Information Technology group at MIT Sloan, advised by Prof. Abdullah Almaatouq. His research focuses on the design and analysis of systems in which humans and algorithmic agents interact, with the goal of achieving collective outcomes that exceed what is achievable by either type of agent on its own. In parallel, he explores how adaptive experimentation and virtual labs can be used to improve and scale social science research.
Image of Jan Batzner
Jan Batzner
Jan Batzner is a full-time Researcher at Weizenbaum Institute Berlin, the German Internet Institute, and a doctoral researcher in Computer Science. He graduated with a Master in Social Data Science from Columbia University in New York City. Before his PhD, Jan worked as a Solutions Engineer for the American data storage and cloud computing company NetApp facing the globally largest automotive clients. Jan is a Fellow and a Next Generation Scholar of the International Cooperation of Assigned Names and Numbers (ICANN) and a Fellow of the Bavarian Elite Academy (BEA).
Image of Rafiazka Millanida Hilman
Rafiazka Millanida Hilman
Dr. R. M. (Rafiazka) Hilman is affiliated with Computational Science Lab (CSL) at the Informatics Institute (IvI) and Institute for Advanced Study (IAS), University of Amsterdam (UvA). She holds a PhD in Network and Data Science from Central European University (CEU). Specialized in Spatial Data Science and Computational Social Science, she focuses on urban dynamics and urban complex system. Currently, she is working on structure and dynamics of multidimensional segregation.
Image of Hazem Ibrahim
Hazem Ibrahim
Hazem Ibrahim is a first-year Ph.D. student in Computer Science at NYU, specializing in Computational Social Science. His broad research interests focus on algorithmic bias in social media recommender systems, gender and ethnic representation in media, and science of science. He received his B.Sc. in Computer Engineering from NYU Abu Dhabi and his M.S. in Computer Science from the University of Toronto.
Image of Kashif Imteyaz
Kashif Imteyaz
Kashif is a Ph.D. student in Computer Science at Northeastern University's Khoury College. His research focuses on the intersection of artificial intelligence and human-computer interaction, with a focus on social computing. He is interested in designing and evaluating computational systems that address complex social problems. Kashif takes an interdisciplinary approach, drawing on social and cognitive sciences to inform the development of these computational tools.
Image of Selcan Mutgan
Selcan Mutgan
Selcan is a postdoctoral researcher at the Institute for Analytical Sociology at Linköping University, Sweden. She holds a PhD in analytical sociology and has a background in economics and demography. Her research primarily concerns spatial income inequality, as well as school and residential segregation. Her current project is related to understanding how school and residential choices of parents are linked and how these two choices jointly affect school segregation. In her research, she utilizes population level Swedish micro-data, and employs methods such as choice modeling and agent-based modeling, among others.
Image of Guanghui Pan
Guanghui Pan
Guanghui Pan is currently a DPhil student in sociology at the University of Oxford. His research interests focus on subfields including social stratification, social inequality, and quantitative methods. His DPhil thesis mainly discusses applying doubly robust machine-learning methods to analyze the causal relationship among time-related social and demographic variables.
Image of Abbas K. Rizi
Abbas K. Rizi
Abbas is a Doctoral Researcher at the Computer Science Department of Aalto University, working on problems in Network Science, particularly Network Epidemiology. His interest lies in modeling spreading phenomena and evaluating control strategies. He develops reasonably simple mathematical models to investigate how pharmaceutical and non-pharmaceutical interventions influence epidemics. He’s grown up in the Physics culture, and likes borrowing the tools and perspective of that field and trying to combine them with new ideas and techniques to tackle interdisciplinary problems.
Image of Kiran Sharma
Kiran Sharma
Kiran Sharma holds the position of Assistant Professor in the fields of Computer Science and Data Science at BML Munjal University. She successfully earned her PhD in Data Science in 2020 from Jawaharlal Nehru University, followed by a postdoctoral fellowship in the Science of Science at Northwestern University. Her primary research areas encompass computational social science and the science of science. Leveraging a blend of methodologies drawn from data science, network science, machine learning, and computer science, she investigates a wide spectrum of social phenomena and explores the dynamics of scientific paper publication. Her research contributions have been published in esteemed journals (Q1) such as Scientific Reports, Scientometrics, Multimedia Tools and Applications, New Journal of Physics, and Physics-A. Currently, Kiran is actively engaged in a research project supported by ICSSR, Ministry of Education, New Delhi, focused on "Empowering Diversity Fostering Queer Entrepreneurship in India." Her dedication to both academia and the exploration of diverse research domains underscores her commitment to advancing knowledge and societal empowerment.

Accra

All Participants


Image of Emmanuel Olamijuwon
Emmanuel Olamijuwon

Emmanuel Olamijuwon is a Lecturer in the School of Geography and Sustainable Development at the University of St Andrews, UK. His research interest lies at the intersection of technology, sexuality, & population health in low-and-middle-income countries. His recent projects combine data from traditional data sources (such as the DHS), with digital traces (Facebook and Twitter) and Online surveys to illuminate the complexity of a number of social and health issues such as knowledge inequality, suicide ideation, as well as sexual and reproductive health.

Image of Fidelia Dake
Fidelia Dake

Fidelia Dake is a Senior Lecturer at the Regional Institute for Population Studies (RIPS), University of Ghana. Her research focuses broadly on population health and international development. Her research interests include nutrition and physical activity, obesity and non-communicable diseases, socio-environmental determinants of health, urban health, health statistics, health-financing and population ageing. She is also interested in using methods in computational social science to study health and lifestyle behaviours including dietary practices, physical activity and travel behaviours.

Image of Lateef Amusa
Lateef Amusa

Lateef Amusa is a Statistician and Data Scientist with a PhD in Applied Statistics from the University of Kwazulu-Natal, South Africa. He is a faculty member in the Department of Statistics, University of Ilorin, and currently a post-doctoral fellow in the Centre for Applied Data Science at the University of Johannesburg, South Africa. Lateef is a tech enthusiast and is mainly interested in big data analytics and machine learning. He attended the second SICSS held at the Unversity of Capetown in 2019.

Image of Ayaga Bawah
Ayaga Bawah
Prof. Ayaga A. Bawah is an Associate Professor of Population Studies, and Director, Regional Institute for Population Studies, University of Ghana, and a Research Affiliate of the Population Studies Center (PSC), University of Pennsylvania. He has expertise in population and health research in Africa, particularly in research methodology, longitudinal data analysis and modelling of demographic processes, and evaluation of health interventions, including maternal and child health, fertility, reproductive health, including family planning programmes. He is a member of Ghana’s Food and Drugs Authority’s Technical Advisory Committee on Clinical Trials (TAC-CT), the International Union for the Scientific Study of Population (IUSSP), the Union for African Population Studies (UAPS), and the Population Association of America. He has published widely in several top-tier peer-reviewed journals and contributed several book chapters in the fields of population and health.
Image of Sibukele Gumbo
Sibukele Gumbo
Sibukele Gumbo is the Director of the NEMISA Eastern Cape eSkills CoLab, based at Walter Sisulu University in South Africa. With nearly 15 years of experience, she passionately advocates for information and communication technologies (ICTs) in education and rural development. Currently pursuing a DPhil in Applied Data Science at the University of Johannesburg, Ms. Gumbo holds a BSc in Computer Science (Honours) and an MSc in Computer Science, both cum laude, from the University of Fort Hare. Recognized for her exceptional contributions, she has received numerous awards, including the 2013 Eastern Cape Women in ICT Award, 2019 Walter Sisulu University Vice Chancellor award for Support Services- Exemplary Achievement and Performance, and 2020 Walter Sisulu University Vice Chancellor award for Community Engagement - Outreach and Community Service, reflecting her unwavering dedication and excellence in the field.
Image of Blessing Ogbuokiri
Blessing Ogbuokiri
Dr. Blessing Ogbuokiri is a postdoc and instructor at York University's African-Canada Artificial and Data Innovation Consortium Lab in Toronto, Canada. His work focuses on the intersection of AI and health, helping communities and governments tackle infectious diseases. His recent project involves using data from unconventional sources like social media to create early warning systems for disease outbreaks. He collaborates with researchers from various fields and is currently leading NeurIPS 2023 Affinity workshops and organizing the Black in AI workshop. This shows his commitment to making AI inclusive and sharing knowledge in the community. Through his efforts, he is using AI to address real health issues effectively.
Image of Danielle Jade Roberts
Danielle Jade Roberts
Dr Roberts is a senior lecturer at the University of KwaZulu-Natal and holds a PhD in Applied Statistics. She has vast experience in teaching and developing undergraduate and postgraduate Statistics and Data Science modules and has been involved in the supervision of several Statistics and Data Science Masters students. She has also been a reviewer for international ISI journals. Her research interests lie in taking a data-driven approach to solve real-world problems using applied statistics and machine learning. Her focus has been on public health and societal issues in Africa, where resources are limited.
Image of Amr	Abdelwahed
Amr Abdelwahed
Amr Abdelwahed is an assistant professor of the Population and Migration Research Pillar in the Faculty of Graduate Studies for Statistical Research (FGSSR) at Cairo University. Amr Abdelwahed completed his PhD in Social Statistics and Demography at the Asian Demographic Research Institute (ADRI), Shanghai University, in 2021. His research focuses on international migration aspects. His current research involves migration and social cohesion in destinations, migration impacts and their underlying mechanism, and their related theoretical and policy implications in both Egypt and the international context.
Image of Alex Adegboye
Alex Adegboye
Alex Adegboye is a PhD candidate and faculty at Covenant University, Nigeria. He has some peer-reviewed articles indexed on ABS, SCOPUS, Web of Science and ABDC. Recently, he interned with UNU-WIDER, Helsinki as a Visiting PhD Fellow. He has research affiliations with reputable organizations such as CEPDeR Nigeria, EXCAS Belgium, ICTD UK, UNU-WIDER Finland etc. His research areas include Sustainable Development, Taxation, Governance, Knowledge economy and Impact Evaluation Research.
Image of Ayodele	Akinyele
Ayodele Akinyele
Ayodele Akinyele is a doctoral candidate in the Department of Sociology (Demography and population studies unit), University of Ibadan, Nigeria. Her dissertation focuses on maternal tetanus immunization and neonatal health status in Ibadan urban slums. She is very much interested in data and computational studies and how this can shape social demographic studies. She is also a teaching assistant at the Center for General Studies, University of Ibadan, Nigeria.
Charles Asabere
Charles Asabere is a doctoral candidate at the University of Ghana's Regional Institute for Population Studies. He investigates how social inequalities impact demographic trends. His research examines death registration coverage, mortality variation, and causes of death across space. He aims to utilize nontraditional data sources to answer pertinent demographic questions.
Image of Jude Ewemade
Jude Ewemade
Jude Ewemade is an early career demographer specializing in migration patterns, migrant integration, and reproductive behaviours. With a keen interest in computational social sciences, Jude aims to tackle complex demographic and social challenges in Africa through innovative research methods and data-driven solutions.
Amos Langat
Amos Kipkorir Langat is a PhD candidate in Mathematics at the Pan African University Institute for Basic Sciences Technology and Innovation. He has a Master of Science in Applied Statistics and has numerous research publications. His current research interests are statistical modelling in infectious diseases and agriculture.
Image of Lerato Makuapane
Lerato Makuapane
Lerato Makuapane is a Ph.D. student at the University of the Witwatersrand, studying the role of household members in adolescent girls' termination of pregnancy decisions. With a Masters in Health Demography, she is an aspiring computation social scientist focused on sexual and reproductive health data. She has four years of experience as a Wits Analytics and Institutional Research Unit project coordinator.
Image of Chukwuedo Oburota
Chukwuedo Oburota
Chukwuedo Oburota is a Senior Lecturer at the Department of Economics, University of Calabar, Nigeria. She is also affiliated with the Health Policy and Training Research Program (HPTRP) at the University of Ibadan, Nigeria where she is a research fellow. Her research interests are focused on addressing inequalities in access to income and opportunities.
Image of Michael Arthur Ofori
Michael Arthur Ofori
Michael Arthur Ofori is currently a PhD. Candidate at the Pan African University Institute for Basic Sciences, Technology and Innovation. He holds Master of Philosophy in Statistics from the University of Cape Coast, Ghana. His research interest includes maternal and child health and health statistics.
Image of Tosin	Oni
Tosin Oni
Tosin Oni (PhD in Demography and Social Statistics, 2023) is a Research Associate at the Central Office of Research, Obafemi Awolowo University. Using computational methods, he integrates data from established sources (e.g. DHS) with public APIs (e.g. Twitter) and primary surveys to harness evidence for advancing sexual and reproductive health.
Image of Onyinyechi Ossai
Onyinyechi Ossai
Onyinyechi Ossai, a University of Nigeria doctoral student, holds a BSc (Geography) and an MSc (Urban Geography) from the same university. Her Ph.D. research focuses on employing integrated multidimensional indicators to assess housing quality among low-income households in an African city. Her interests include settlement geography, urban-rural disparities, and their interconnections.
Image of Mohamadou	Salifou
Mohamadou Salifou
Mohamadou Salifou is a laureate of the pre-doctoral programme at Mohammed VI Polytechnic University in Morocco and is part of the Data Science, Activity Analysis and Steering of Education and Training team. He holds a Master's degree in Statistics applied to life and is interested in demographic and biostatistical issues, particularly fertility, child mortality, early diagnosis of diseases, and the drop-out and retention of pupils in secondary education. His current research focuses on artificial intelligence in the early detection of school drop-outs and the contribution of AI to stroke diagnosis.

Atlanta

All Participants


Image of Kat Albrecht
Kat Albrecht
Kat Albrecht is an Assistant Professor in the Department of Criminal Justice and Criminology in the Andrew Young School of Policy Studies at Georgia State University. Dr. Albrecht’s work sits at the intersection of computational social science and law, where she uses innovative computational techniques to study fear, violence, and data distortions. She is particularly interested in the nexus of fear and risk-taking behaviors, digital trace data, and the impact of law on decision-making. She frequently serves as a computational science expert for the defense on active legal cases about life without the opportunity of parole, felony murder, gang enhancements, and the Racial Justice Act. She is presently a Fellow with CJARS where she is conducting research on felony case processing speeds across the United States.
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Olga Churkina
Olga Churkina is a PhD Candidate in Public Policy jointly at Georgia State University and Georgia Institute of Technology. Her research interests include experimental and quasi-experimental methods for education and labor market policies, microeconomics models of human behavior, and applications of big data. Her background is in Quantitative Economics and she is currently involved in the Smart Cities project as a member of the Data Science and Policy Lab at Georgia Tech. Furthermore, she is working on a prosocial behavior research at GSU ExCEN as well as a labor market field experiment for her dissertation.
Image of Ryan	Ellis
Ryan Ellis
Ryan Ellis is a PhD Candidate in the School of Economics at the Georgia Institute of Technology. His research interests include migration and borders, health, and development economics. Prior to joining Georgia Tech, Ryan worked as an educator and financial counselor with immigrant-led non-profit organizations in Nashville, TN.
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Raeda Anderson
Raeda Anderson is an experienced research scientist and data scientist at Shepherd Center and an Affiliate Professor in the Department of Sociology at Georgia State University. For over a decade, she has been working in Statistical Data Analysis, Student Development, Quantitative Research, Social Network Analysis, and Statistical coding (SPSS, STATA, SAS, MPlus, HLM7, and R) with the focus on the hospital & health care industry.
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Daniel Dench
Daniel Dench is an Assistant Professor in the School of Economics and the Health Economics & Analytics Lab (HEAL) at the Georgia Institute of Technology. He works on issues related to tobacco and nicotine policy, school choice and enrollment mechanisms, and runs field experiments related to student motivation and cheating. In addition to Georgia Tech, Daniel is a faculty affiliate with Notre Dame's Lab for Economic Opportunity and is a research economist for the National Bureau of Economic Research.
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Alfredo Deza
Alfredo Deza is a software engineer at Microsoft and an Adjunct Professor at Duke, speaker and author of several books about DevOps and Python, including Python For DevOps and Practical MLOps, and former Olympic athlete. With almost two decades of DevOps and software engineering experience, he teaches Machine Learning Engineering and gives lectures around the world about software development, personal development, and professional sports.
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Casey Wichman
Casey Wichman is an Assistant Professor in the School of Economics at the Georgia Institute of Technology and a University Fellow at Resources for the Future. Prior to joining Georgia Tech, he served as the Research Director of the Energy & Environment Lab at the University of Chicago and as a Fellow at Resources for the Future in Washington, DC. He is an applied microeconomist working on issues at the intersection of environmental and public economics. His research spans water and energy demand management, valuation of environmental resources and infrastructure, urban transportation, understanding the drivers behind public goods provision and prosocial behavior, demand for outdoor recreation, and climate change.
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Brad Willingham
Brad Willingham is a Research Scientist at Shepherd Center whose work focuses on the development of innovative technologies and strategies to advance neurorehabilitation. He is originally from the Atlanta area and started his career in rehabilitation working as an Exercise Physiologist at Shepherd Center. Through this experience, he became interested in scientific questions that could guide evidence-based treatment strategies and developed research collaborations that led him to complete his PhD in Exercise Physiology at the University of Georgia. Before his recent return to Shepherd Center, Brad Willingham spent the past four years serving as a postdoctoral fellow at the National Institutes of Health where he received advanced training in neuromuscular physiology and bioenergetics.
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Stephen Abeyta
Stephen Abeyta is a doctoral candidate at Northeastern University's School of Criminology and Criminal Justice. His research focuses on work-related issues, particularly understanding how workplaces can be a unique space of violence, victimization, and harm. He is also interested in understanding how the evolving nature of the workplace will affect workers’ exposure to adverse work-related experiences.
Image of Salome Apkhazishvili
Salome Apkhazishvili
Salome Apkhazishvili is a Ph.D. student at Georgia State University Communication Department. Her research interests are in intergenerational communication and media literacy, more specifically, how new digital technologies shape communication and knowledge exchange via and about technology. After earning her undergraduate degree in Journalism and Mass Communication, Salome Apkhazishvili worked as a reporter for the major national media outlets in Tbilisi, Georgia for six years. She is a recipient of the Fulbright Graduate Scholarship, Edmund S. Muskie Professional Fellowship, and Vaclav Havel Journalism Fellowship. Salome’s master thesis The National Idea in Georgian Political Caricatures was presented at TEDx Youth Tbilisi Conference, at World Communication Association Conference, and published as a book, which became the finalist of the major literary award “SABA” in her home country. Salome Apkhazishvili’s working experience includes several research and advocacy projects in media and digital literacy. In 2021-2022, she served as a communications officer at the European Communication Research and Education Association Children, Youth, and Media section. Since 2020, she has co-produced the Summer Institute in Digital Literacy, the professional development event for media educators.
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Elizabeth Chan
Elizabeth Chan is a second-year PhD student in Social and Personality Psychology at the University of Toronto. Her research interests include time use, current affairs, and well-being. Specifically, she is interested in understanding how people can allocate their limited time to maximize well-being using various statistical methods such as compositional data analysis and cluster analysis. Prior to graduate school, she completed her Bachelor of Science in Psychology at the University of Toronto.
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Jane Daquin
Jane Daquin is an Assistant Professor in the Department of Criminology and Criminal Justice at The University of Alabama. Her research focuses on individuals’ experiences with and perceptions of the criminal legal system, with a particular focus on carceral experiences (e.g., victimization in prison). Additionally, her work focuses on the effects of the prison experiences on reentry for formerly incarcerated individuals. Currently, she is statistical consultant in one of the research units at The University of Alabama.
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Caitlin A. Dorsch
Caitlin A. Dorsch is a doctoral student and graduate research assistant in the Department of Criminal Justice and Criminology at Georgia State University. She began serving as President of the Criminal Justice Graduate Student Association in 2022 and received the Department’s Excellence in Leadership Award in 2021. She graduated with a B.A. in Criminology from the University of Lynchburg in 2020. Her primary research investigates the quality of administrative data in the criminal justice system. Her secondary research examines the victimization of subgroups.
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Desha Elliott
Desha Elliott obtained her BA from Northern Kentucky University (NKU) while starting her first tech company. She completed her MS in Management at Strayer University. After graduating from Strayer, she created PB7APP, an education technology app for student athletes and was Editor in Chief for nationally distributed education and entrepreneurship magazine. She is a PhD Candidate in the Whitney M. Young, Jr., School of Social Work at Clark Atlanta University. She is a founding member of the intramural Professional Doctoral Network (Clark Atlanta University’s first doctoral student centered organization), serves as student researcher for The Center for Social Reform, Equity and Innovation and the IN Her Hands project and a hackathon advisor of the AUC Data Science Initiative. In her private practice, she pioneered a blueprint for the Black Farmers Equity Initiative. Her areas of focus are economic development, entrepreneurship and technology.
Image of Yi Feng
Yi Feng
Yi Feng is a Ph.D. candidate at the School of Education at the University of California, Irvine. Her current research focuses on the development of a personalized approach to enhance working memory in children, along with exploring individual differences in skill learning. She has a strong interest in integrating computational modeling with research in psychology and education to optimize learning performance for individuals.
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Shrabani Ghosh
Shrabani Ghosh is a PhD student in the College of Computing and Informatics at the University of North Carolina at Charlotte. Her research interests include social media mining, machine learning and graph theory. In social media analysis, she focuses on sentiment analysis, misinformation propagation and community clustering. Additionally, she does large graph mining for link prediction and community detection.
Image of Michelle N. Harris
Michelle N. Harris
Michelle N. Harris is an Assistant Professor in the Criminology and Criminal Justice Program in the School of Economic, Political, and Policy Scents at University of Texas at Dallas. Through her research, she examines topics related to mental health and victimization, and how these two topics intersect with various processes. Using statistically sophisticated techniques, her research involves a multidisciplinary, theoretically grounded approach through which she generates policy recommendations on topics related to psychosocial and developmental explanations of criminological processes and victimization.
Image of Muhammed Rashedul Hasan
Muhammed Rashedul Hasan
Muhammed Rashedul Hasan is pursuing his Ph.D. in the Department of Communication at the University of Illinois at Chicago. He is an established academic with more than ten years of experience in a university setting. His scholarly contributions appeared in publications by various prestigious academic publishers such as Sage and Palgrave Macmillan. In addition, he has been active in academic conferences and presented his work in competitive forums. His current research interest includes the social and political consequences of communication technologies in an increasingly complex globalized context. Hasan earned his BA with Honors and MA in Communication and Journalism from the University of Chittagong, Bangladesh. He also holds a Master of Global Media Communication degree from the University of Melbourne, Australia.
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Rachel Heiter
Rachel Heiter is a PhD student at Georgia State University in the Cognitive Psychology department. Her research interests are primarily centered around the study of extremist beliefs. She aims to further her work through examining what external factors contribute to the endorsement of extreme beliefs and determining the viability of inoculation interventions against them.
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Yumin Hong
Yumin Hong is a PhD student in the Economics department at The University of Texas at Austin. Her current research focuses on exploring the effects of exposure to extreme weather events in early life on health and labor market outcomes.
Image of Anqi Hu
Anqi Hu
Anqi Hu is a PhD student in sociology at Emory University. Her research interests include Asian American identities, racial and political inequalities, and algorithmic biases. Her current work focuses on applying mixed methods to examining the development of ethnic and cultural identities among Asian American adolescents. Her other project involves using social network analysis to investigate the racial disparities in the mental health of survivors following deaths of family members.
Image of Hamida Khatri
Hamida Khatri
Hamida Khatri, a PMP® (Project Management Professional) certified gender-based violence expert and a social justice advocate stands at the forefront of technological and sociological research, possessing a dynamic blend of skills in project management, research development, strategic management, design, innovation, and emerging technologies. She is furthering her academic journey by pursuing a Ph.D. in Arts, Technology, & Emerging Communication at the University of Texas at Dallas. Simultaneously, she’s advancing her skills in emerging technologies by attaining a Professional Certificate in Augmented/Virtual Reality and Computer Graphics from the NYU Tandon School of Engineering and a Post Graduate Program Certificate in Artificial Intelligence and Machine Learning from Texas McCombs School of Business at the University of Texas at Austin. Hamida is the Director and driving force behind VR Catalyst, an innovative non-profit organization leveraging virtual reality gaming simulation and therapy to support victims and survivors of gender-based violence. Hamida’s scholarly work intriguingly intersects Computational Social Science, Victimology, and Philosophy of Psychiatry, while embracing the rich cultural contexts of Islamic Art, Persian Literature, and South Asian Studies. This distinctive interdisciplinary approach empowers her to analyze the complex psychological and social impacts of gender-based violence on its victims and survivors. Committed to utilizing innovative research methodologies, Hamida integrates social simulation, modeling, network analysis, and media analysis through games and animation. Hamida’s multifaceted approach epitomizes her commitment to bridging the gap between technology and human experiences, promising profound insights into the realm of gender-based violence.
Image of Emily Eunji Kim
Emily Eunji Kim
Emily Eunji Kim is a Ph.D. student in the School of Public Policy at the Georgia Institute of Technology. Her research interest lies in the intersection of technology assessment and comparative politics with a special focus on the measurements of states’ capabilities in emerging technologies. Her current works include measuring labor susceptibilities triggered by artificial intelligence (AI) as a part of the National Network for Critical Technology Assessment and measuring states’ institutional preparedness for AI. She received her M.A. from Seoul National University and is pursuing M.S. in statistics from Georgia Tech. She served as a researcher at the Korea Institute of Science and Technology Evaluation and Planning before joining her study at Georgia Tech.
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Maxim Malikov
Maxim Malikov is a PhD student in the Computational Social Science program at George Mason University. His research focuses on computational simulations with social inclination, in order to gain a deeper understanding of how societies and organizations emerge, evolve, and perish. His methodology includes the use of Natural Language Processing tools for empirical data extraction and Agent Based Modeling to simulate the social interactions, with the goal of learning about our past and applying that knowledge towards our future.
Image of Sari Mentser
Sari Mentser
Sari Mentser is currently pursuing her PhD at the School of Business Administration at the Hebrew University of Jerusalem. In her research, she takes a cross-cultural approach to studying values and moral judgments. She enjoys utilizing a variety of methods to answer her research questions, including meta-analyses, text analyses, and structural equation modeling.
Image of Jasmine (Jay) Moore
Jasmine (Jay) Moore
Jasmine (Jay) Moore is a PhD student in Human-Centered Computing at Georgia Institute of Technology in the Social Dynamics and Wellbeing Lab. She has developed programming and research in injury and violence prevention working to help establish national adaptations of the Cardiff Model for Violence Prevention. Jasmine’s research utilizes mixed methods to study technology’s mediation of direct and structural violence.
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Sedat Ors
Sedat Ors is a Ph.D. student in Economics at the Georgia Institute of Technology. He is passionate about research in Environmental Resource Economics, Climate Change, and Development Economics. Sedat completed his master’s degree in economics at the University of Hawaii at Manoa. With a keen interest in understanding the economic implications of environmental issues, Sedat delves into the study of sustainable practices. He firmly believes that innovative solutions can be found to promote economic growth and environmental preservation by exploring the intricate relationship between economics and the environment. In addition to his focus on Environmental Resource Economics, Sedat is intrigued by Development Economics and the socioeconomic factors that shape communities and nations. Through his research, he aims to contribute to the field's advancements and facilitate positive change.
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Munirat Sanmori
Munirat Sanmori is a Ph.D. student in Sociology at Georgia State University with academic credentials in Gerontology (M.A) from Georgia State University and Library and Information Science (MLIS), (BSc) from the University of Ibadan and University of Ilorin, Nigeria respectively. Her research focuses on global inequalities in access to medical and other services, specifically concerning vulnerable populations such as older adults, racial minorities, and individuals with disabilities. Her goals include conducting research, influencing policymaking, and providing services to support the well-being of diverse and underserved individuals.
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Germans Savcisens
Germans Savcisens is a Ph.D. student in Computational Social Science at the Technical University of Denmark and a lecturer in Algorithmic Fairness & Ethics at the IT University of Copenhagen. His main research focuses on using emerging deep learning models to uncover complex patterns in socio-economic, health, and behavioral data. Meanwhile, he also works with natural language modeling for public discourse and sentiment analysis. His other interests include algorithmic auditing & explainability, network analysis, and foundation models. He holds a master's degree in Human-Centered AI.
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Hilal Sert
Hilal Sert is a Ph.D. student at Georgia State University, in the Political Science program. Hilal was born and raised in Ankara/Turkey. Se obtained her B.A. in International Relations from Bilkent University and M.A. in European Studies from the Sabanci University. Her research interests include terrorism, conflict, war termination and authoritarian regimes.
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Xiaotian Zheng
Xiaotian “Timo” Zheng is a current doctoral student in the Department of Criminology, Law and Society at George Mason University. He received his Bachelor of Law and passed the Chinese Bar exam at Shanghai University of Politics Science and Law in 2018. Later, he gained his Master of Social Science at University of Macau in 2020. His research interests are Quantitative Research Methods, Statistical Modelling, Community/Street Level Crime and Deviance Behaviors, and Deterrence. As one of the members of LGBTQ group, he is also planning to conduct research to better understand the health and victimization issues among LGBTQ members at the community level.

Beijing

All Participants


Image of Di Zhang
Di Zhang
Di Zhang 张迪 is a professor and chair of the Department of International Communication at School of Journalism and Communication, Renmin University of China. He obtained his doctoral degree in mass communication at Newhouse School, Syracuse University. His research interests include public relations, health communication and international communication.
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Na Ta
Na Ta 塔娜 is an associate professor at the School of Journalism and Communication at the Renmin University of China. She got her Ph.D. degree in Computer Science and Technology from Tsinghua University. Her research interests include online social networks, platformization and new media, computational communication, and intelligent communication (algorithms, agents, etc.). Her research has been published in journals of multiple disciplinaries including computer science, communication, psychology and others. She can be reached via tanayun@ruc.edu.cn.
Image of Yiyan Zhang
Yiyan Zhang
Yiyan Zhang 张伊妍 is an assistant professor at the School of Journalism and Communication at the Renmin University of China. She got her Ph.D. degree in Emerging Media Studies from Boston University and her bachelor's degree in advertising and economy from Peking University Her research focuses on mediated and dynamic communication effects between citizens, news media, and government bodies on emerging media in the global contexts. Yiyan’s previous studies connect a large variety of computational methods, especially natural language processing, online survey, and social network analysis. Her research has been published in journals including but not limited to Communication Research, Information, Communication & Society, Journalism Studies, International Journal of Communication, The Social Science Journal, and Mass Communication and Society.
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Zhuo Chen
Dr. Zhuo Chen is an Assistant Professor at the HSBC Business School, Peking University. His research investigates the socioeconomic and political implications of communication technologies.
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Chris Bail
Chris Bail is Co-Founder of SICSS and Professor of Sociology and Public Policy at Duke University where he directs the Polarization Lab. He is also affiliated with the Interdisciplinary Data Science Program, the Duke Network Analysis Center, and serves on the Advisory Council of the National Science Foundation's SBE Directorate. His research examines political polarization, culture and social psychology using tools from the field of computational social science. He is the author of Breaking the Social Media Prism "How to Make our Platforms Less Polarizing".
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Chris J. Vargo
Dr. Chris J. Vargo is an associate professor at the University of Colorado Boulder, specializing in data analytics and mass communication. He is the founder and director of the contextual advertising startup, socialcontext.ai. Chris has published research in numerous notable journals, including Journal of Communication, New Media & Society, and Journalism & Mass Communication Quarterly. He currently teaches analytics to undergraduates and in the Master of Science in Data Science program, focusing on content analytics and advanced computational methods.
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Hai Liang
Dr. Liang is an Associate Professor in the School of Journalism and Communication at the Chinese University of Hong Kong (CUHK). He serves as the associate director of the Computational Social Science Laboratory at CUHK and is an affiliated member of the Web Mining Laboratory at City University of Hong Kong. His research interests include computational social science, political communication, and digital public health. Dr. Liang has authored dozens of journal articles, many of which have been published in leading communication journals such as the Journal of Communication, Communication Research, Human Communication Research, Journal of Computer-Mediated Communication, and New Media & Society.
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Lei Guo
Dr. Lei Guo is a professor at the School of Journalism, Fudan University (Shanghai). Previously, she was an associate professor in the Division of Emerging Media Studies at College of Communication, Boston University (BU), USA. She was also an affiliated faculty member at BU’s Department of Computer Science. In 2020, she was appointed as a founding faculty member at BU’s newly launched Faculty of Computing & Data Sciences. Her research focuses mainly on the development of media effects theories, news and information flow, and computational social science methodologies. Her studies have been published in a number of leading peer-reviewed journals such as Journal of Communication, Communication Research, New Media and Society, and Journalism & Mass Communication Quarterly (JMCQ).
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Marin Hilbert
Martin Hilbert is Professor at the University of California, Davis, where he chairs the campus wide emphasis in Computational Social Sciences. He studies the societal implications of digitalization in complex social systems. He holds doctorates in Economic and Social Sciences (2006), and in Communication (2012). His work is recognized in academia for the first study that assessed how much information there is in the world; in public policy for having designed the first digital action plan with the governments of Latin America and the Caribbean at the United Nations; and in the popular media for having alerted about the intervention of Cambridge Analytica in the campaign of Donald Trump a year before the scandal broke. Before he joined academia he served as Economic Affairs Officer of the United Nations Secretariat for 15 years, where he created the Information Society Program for Latin America and the Caribbean. Prof. Hilbert provided technical assistance in the field of digital development to more than 20 countries and dozens of publicly traded companies as digital strategist. His work has been published in the most recognized academic journals, such as Science, Psychological Bulletin, Trends in Ecology and Evolution, and World Development, and regularly appears in popular magazines, including The Wall Street Journal, Washington Post, The Economist, NPR, BBC, Die Welt, among others.
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Noshir Contractor
Noshir Contractor is the Jane S. & William J. White Professor of Behavioral Sciences in the McCormick School of Engineering & Applied Science, the School of Communication and the Kellogg School of Management and Director of the Science of Networks in Communities (SONIC) Research Group at Northwestern University. He is also the President-Elect-Select of the International Communication Association (ICA).Professor Contractor has been at the forefront of three emerging interdisciplines, they are network science, computational social science and web science. He is investigating how social and knowledge networks form – and perform – in contexts including business, scientific communities, healthcare and space travel. His research has been funded continuously for 25 years by the U.S. National Science Foundation with additional funding from the U.S. National Institutes of Health, NASA, DARPA, Army Research Laboratory and the Bill & Melinda Gates Foundation.
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Xiaofan Liu
Dr. Liu Xiaofan is an Assistant Professor in the Department of Media and Communication at City University of Hong Kong. He obtained his Bachelor's and Doctoral degrees in Electronic and Information Engineering from The Hong Kong Polytechnic University. He previously served as an Associate Professor at the School of Computer Science and Engineering, Southeast University. His research focuses on the analysis and modeling of human behavior on mobile devices, the dark web, and blockchain.
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Yilang Peng
Yilang Peng (PhD, Annenberg School for Communication, University of Pennsylvania) is an assistant professor in the Department of Financial Planning, Housing and Consumer Economics at the University of Georgia. His scholarship is at the intersection of computational social science, visual communication, science communication, and social media analytics. His research combines computer vision methods, surveys, and experiments to investigate the production and effects of visual messages across different communication contexts.
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Yuan Yuan
Yuan Yuan is an Assistant Professor in the Management Information Systems area at Purdue University's Daniels School of Business. His academic focus is on computational social science, particularly the application of advanced computational techniques such as machine learning and causal inference to understand social and organizational networks better. He completed his PhD at the Institute for Data, Systems, and Society (IDSS) at the Massachusetts Institute of Technology. His research often involves collaboration with tech industry leaders, including Microsoft and Meta, providing practical perspectives to his academic investigations. Yuan's publications span across diverse academic venues. His work has appeared in interdisciplinary journals such as Nature Communications and Communications Physics. He has also been published in top management journals, including Management Science, and has presented his research at leading Computer Science conferences such as EC and TheWebConf.
Image of Lun Zhang
Lun Zhang
Lun Zhang is currently an associate professor at Beijing Normal University. She obtained her PhD degree in communication (2011) from City University of Hong Kong. Her current research projects focus on news consumption on mobile Internet and knowledge sharing on social media sites. Her research outputs appeared in Computers in Human Behavior, Information Processing & Management, Internet Research and other leading journals in the field of information science and communication.
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Zhenhui Chai
ZhenHui Chai received the B.E. degree in Electronic and Information Engineering from Beijing University of Chemical Technology, Beijing, China in 2021. He is currently working toward the M.A. degree in Journalism with the School of Communication and Journalism, Communication University of Zhejiang, Hangzhou, China. His research interests include commputational communication and natural language processing.
Image of Qiuyi Chen
Qiuyi Chen
Qiuyi Chen is currently pursuing her PhD at the School of Journalism, Fudan University. Her research focuses on the intersection of network science and political communication, health communication, and media effects. Her latest project revolves around misinformation and its correction.
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Xinyu Cheng
Xinyu Cheng is a Ph.D student in global communication at Shandong University. She studies international communication and political communication and she is currently working on the picture of information dissemination on social media in China by the method of social network and sentiment measurement. Prior to that, she completed her master’s degree at the University of Sheffield and was concerned about refugee-related coverage and identity construction between the British media and the Arab media. She is also interested in digital field experiments and text as data.
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Siling Dong
Siling Dong is a master student in Communication at the Communication University of China. Her current research includes intercultural communication and digital sociology. She is also interested in computational social science.
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Shuqi Dou
Shuqi Dou is a PhD student in international communication at School of Journalism and Communication, Renmin University of China. Her research interests are international communication and intercultural communication, especially international fake news in global sphere and social media.
Image of Yibin Fan
Yibin Fan
Yibin Fan is a PhD student in communication at Univeristy of Washington, Seattle. His research interest is focused on the political communication processes in online communities, mostly using computational methods. He is also affiliated with the Community Data Science Collective, which is a cross-institutional research lab with a focus on understanding the dynamics of online communities.
Image of Jiankun Gong
Jiankun Gong
Jiankun Gong, Phd, Assistant Professor at Xiamen University Malaysia. My work has been published in top tier journals like Social Media +Society, Journalism Practice, Journalism, Digital Journalism. I am a peer reviewer for more than 20 SSCI journals and I sit in Editorial board of Young Consumers. Also, I am Emerald Publishing representative. My research orbits digital journalism and its societal ramifications. The abrupt rise of social media has drastically revamped the media landscape and the ways in which people perceive the world. Central to my research agenda is the investigation of the impact of the emerging communication technologies on information production, dissemination, and audiences’ perceptions of reality. Using survey, experiment, and computational methodologies, my previous and recent studies are committed to exploring the role of emerging media in the context of health and politics.
Image of Gu Gong
Gu Gong
Gu Gong is currently pursuing a PhD in Communication at Peking University, China. His research aims to identify and analyze diverse behavioral and psychological patterns of user subgroups in mobile media and communication. He is particularly interested in utilizing computational methods to explore how people interact with emerging media platforms & digital technologies and their social consequences.
Image of Lingchen Gu
Lingchen Gu
Lingchen Gu is a Lecturer in the School of Information Science and Engineering at Shandong Normal University. She received the B.S. degree in electronic information science and technology and the Ph.D. degree in information and communication engineering from Shandong University. Her current research interests include deep learning and multimedia data analysis, such as large-scale multimedia indexing and retrieval.
Image of Huimin He
Huimin He
Huimin Callie HE is master student of computational communication at Shenzhen University. She studies online expression and information flow using data from social media and tools from economics. Callie is passionate about building the field of opinion dynamics, her current research focuses on the gender narratives and moralization of online discussion.
Image of Xin	Jin
Xin Jin
Xin Jin, Associate Professor, School of Journalism and Media, Chongqing Normal University, China, Ph.D. in Communication, Communication University of China, his main research interests are Health Communication and Visual Communication based on computational sociology.
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Tobias Kamelski
Tobias Kamelski is a PhD student in Sociology at Lingnan University. He researches the habitus of visual self-presentation in online dating. His research interests include mediated impression management as well as sexual and gendered behaviour in digital spaces. He specializes in reconstructive research methods and their digital augmentation.
Image of Zhanghao Li
Zhanghao Li
Li Zhanghao is a doctoral student in computational communication at Beijing Normal University. His research leverages social bot field experiments and other methods to study the information environment of social media platforms and explore the complex relationship between social media and democracy, such as echo chambers, polarization, etc.
Image of hua	li
hua li
Hua Li is a lecturer at the Center for Computational Communication Research of Beijing Normal University. He obtained a MA from the School of Journalism and Communication of Renmin University of China, and a PhD from the School of Journalism and Communication of Jinan University.
Image of Xiao	Shi
Xiao Shi
Xiao Shi is a lecture in the School of Management Engineering at the Capital University of Economics and Business. She received her Ph.D. degree in Management Science & Engineering from the University of Science and Technology of China. Her research focuses on online users’ behavior in social media, including knowledge payment, privacy management, AI-human interaction and etc.
Image of Ge Shi
Ge Shi
Ge Shi is a lecturer at Nanjing University of Technology, majoring in Geographic Information Systems. Her research areas mainly include urban computing, digital humanities, and smart cities. She obtained a master's degree from Michigan State University in the United States and was sent by the National Endowment Commission to Purdue University for one year during her doctoral studies.
Image of Yunfei Wang
Yunfei Wang
Yunfei Wang received B.A. in Communication from Tsinghua U and is going to join the M.A. program in Computational Social Science at UChicago. Her research interest lies in network analysis, support communication, social media, social capital, and knowledge science. Her previous and current studies try to answer how network structure influences the reception of online social support, and what factors have impacts on help-seeking information diffusion. She plans to extend her research to knowledge creation in network-based systems in the future.
Image of Jiasheng Xiao
Jiasheng Xiao
Jiasheng XIAO is a 2nd-year PhD candidate at the Department of Politics and Public Administration at the University of Hong Kong. His research primarily explores how bureaucrats handle information and the impact of institutions on their choices. In his current research, he is looking into the mechanisms by which policy crisis intelligence is gathered, filtered, interpreted, and circulated inside the Chinese bureaucracy.
Image of Zehang Xie
Zehang Xie
Xie Zehang, a Ph.D student at the School of Media and Communication, Shanghai Jiao Tong University. His main research interests are the psychology and behavior of new media users (with a recent focus on virtual companionship in human-computer interaction), and digital publishing.
Image of Jinghong Xu
Jinghong Xu
Dr. Jinghong Xu is a professor at the School of Journalism and Communication of Beijing Normal University. His research interests include new media and internet governance, health communication, intercultural communication, film and television study, and game research. He can be reached at 123abctg@163.com.
Image of Lihan Yan
Lihan Yan
Lihan Yan is a first-year Ph.D. student in the School of Journalism and Communication at Nanjing University. I hold my M.A. degree from the City University of Hong Kong and hold B.A. degree from the Central South University of China. My research interests focus on computational communication, science of science.
Image of Yang Yang
Yang Yang
Yang Yang is a lecturer in the Department of Big Data Management and Application, at Beijing Technology and Business University. She received her Ph.D. in business management from the University of Science and Technology of China with co-training from the University of Washington in 2022.
Image of Hanlu Yu
Hanlu Yu
Hanlu Yu is a master student in psychology at Renmin University of China. Her research interests focus on understanding children's social development and moral psychology. Recently, she has become interested in the role of social media in social support.
Image of Xiaoxue Zhang
Xiaoxue Zhang
Xiaoxue Zhang is a PhD candidate at the School of Journalism and Communication, Tsinghua university. Her research focuses on popular culture, online privacy and game. She seeks to use computational techniques, such as natural language processing and network analysis, to solve social science problems.
Image of Duo Zhang
Duo Zhang
Duo Zhang is a doctoral student of Zhejiang University, majoring in journalism and Communication studies. His research interests include media sociology,intelligent communication and human-computer interaction.
Image of Yanling Zhao
Yanling Zhao
Yanling Zhao is a PhD student in Media, Technology, and Society at Northwestern University. Her research mainly employ computational methods such as natural language processing, both supervised and unsupervised machine learning combined with surveys and experiments to study the political communication, media effects in the digital media era and mis/disinformation.
Image of Nanxiao Zheng
Nanxiao Zheng
Nanxiao Zheng is an incoming MPhil student in the School of Journalism and Communication at the Chinese University of Hong Kong. His research interests lie in Visual Communication and Political Communication, focusing on online communities, online multimodality, and nationalism. He is keen to apply methods to understand social media participation and social networks.
Image of Lihua Du
Lihua Du
Lihua Du 杜莉华 is a doctoral student at the School of Journalism and Communication at the Renmin University of China, majorly studying health communication. To be specific, she focuses on correction of health misinformation and doctor-patient communication in the context of intelligent communication. Before joining Renmin University of China, she received her B.A. degree in journalism from Lanzhou University and M.A. degree in communication from Wuhan University. In terms of correction of health misinformation, she focuses on intergenerational differences in processing health misinformation on Chinese social media. Her current research is focused on doctor-patient communication in the context of intelligent communication, aims to examine the factors influencing doctors' social media usage behavior. Her research combines a variety of methods (i.e., self-report, in-depth interview, regression analysis) to expand the deeper understanding of health misinformation dissemination and doctor-patient relationship in the era of intelligence.
Image of Cong Lin
Cong Lin
Cong Lin 林聪 is a master student at the School of Journalism and Communication at Renmin University of China. He got his bachelor's degree in sociology from Renmin University of China. His acedemic interests include computational social science, visual communication, and social inequality.
Image of Yi Li
Yi Li
Yi Li 李逸 is a master student at the school of journalism and communication ar Remin University of China. His academic interests focus on how individuals coexist with algorithm and media, especially how we utilize them to overcame the social inequality.
Image of Ruhao Liu
Ruhao Liu
Ruhao Liu 刘入豪 is a doctoral candidate at Renmin University of China. With a particular interest in considering how intelligent technology can realize social welfare, she is passionate about studying the social and psychological effects of AI and immersive technology, especially in mental health and social interactions. Her current research is focused on how virtual influencers and digital agents affect public opinion. Before entering Renmin University of China, she received her bachelor's degree in advertising and law from the South China University of Technology. She can be reached at Jacquelineliu@ruc.edu.cn.

Berlin

All Participants


Image of Lena Hipp
Lena Hipp
Head of the Work & Care research group at the WZB Berlin Social Science Center and professor of Social Inequality & Social Policy at the University of Potsdam. Researchess social inequalities related to paid and unpaid care work and relies on a broad spectrum of methods and data, including survey, experimental, and digital data.
Image of Stefan Munnes
Stefan Munnes
Sociologist and research fellow in the Work & Care research group at the WZB Berlin Social Science Center. Interested in all kinds of social inequalities, currently researching gender inequalities and antisemitism. Furthermore, mainly engaged in computational methods, such as (automated) text analysis and graphical illustrations. Likes to share this knowledge and ask new questions and work through challenges in a team. ast year, he participated in SICSS Lisbon.
Image of Armin Sauermann
Armin Sauermann
Armin Sauermann is a researcher at the WZB Berlin Social Science Center. He recently completed his Sociology Masters at the University of Potsdam and will pursue his PhD. Armin analyzes large-scale observational data and is learning to collect and analyze internet-based data to study group processes and political extremism. Last year, he participated in SICSS Helsinki.
Image of Helena Mihaljevic
Helena Mihaljevic
Helena Mihaljević is a mathematician by training and professor of Data Science at the Berlin University of Applied Sciences (HTW Berlin). Her research focuses on analyses of data and technologies, typically applying methods from machine and deep learning, natural language processing and statistics. She works in inter- and transdisciplinary projects that involve algorithmic methods and large data sets for the analysis of social or political phenomena, or projects that investigate the effect of data-driven and usually opaque algorithmic technologies on societal developments. She is interested in algorithmic detection and analysis of conspiracy theories and antisemitic speech in texts from online and social media. 03/07 Exploring the Benefits and Challenges of Automated Classification of Political Short Texts: A Case Study of Conspiracy Theory and Antisemitic Narratives
Image of Elizabeth Bruch
Elizabeth Bruch
Elizabeth Bruch is an Associate Professor in Sociology and Complex Systems at the University of Michigan, and an External Faculty member at the Santa Fe Institute. From 2017-2020, she led the Computational Social Science Initiative at the University of Michigan. Starting in 2023, she will be the Social Science Associate Director for the Michigan Institute for Data Science. Her research focuses on the quantitative study of human behavior, and what it implies for larger scale social patterns. 04/07 Competition in Online Dating Markets
Image of CorrelAid
CorrelAid
Sebastian Zezulka is a PhD student in the reserach group "Epistemology and Ethics of Machine Learning" in the Cluster of Excellence "Machine Learning for Science" at the University of Tübingen. His work focuses on methodological questions of fair machine learning, bringing together insights from philosophy of science, evidence-based policy making, and machine learning. In 2017, an internship brought him to CorrelAid. After working in the project team and the local chapter Stuttgart, he was board member for education in 2022. Since the end of 2022, he acts as the chair of the board of CorrelAid. CorrelAid is a non-partisan non-profit network of data science enthusiasts who want to change the world through data science. They dedicate their work to the social sector and those organizations that strive for making the world a better place. 05/07 Data4Good - data science with and for non-profits
Image of Sophia Hunger
Sophia Hunger
Sophia Hunger is professor of Computational Social Sciences at the University of Bremen and research fellow at the Center for Civil Society Research. Until April 2023 she was a postdoctoral researcher at the Center and involved in a research project on protest and political radicalization in Germany, after receiving her doctorate from the European University Institute in 2020. Her research focuses on protest movements, political engagement, party competition, political communication, and applied quantitative methods, particularly quantitative text analysis and automated event extraction. Currently, her largest methodological undertaking is the automatization of Protest Event Analysis with cutting-edge methods in order to facilitate research on how protest shapes and affects modern societies. She is furthermore interested in developing new methods to measure positions, polarization, and resonance in political communication and public debate. 06/07 Automatic protest event analysis
Image of Christian Rauh
Christian Rauh
Christian Rauh is a senior researcher in the Global Governance unit of the WZB Berlin Social Science Center and a Professor for the 'Politics of Multilevel Governance' at the University of Potsdam. His research and teaching interests lie at the intersection of EU studies, international relations and comparative politics. His is particularly interested in decision-making of the European Commission and the public political debates about European and international institutions. Christian's work aims to combine solid theory with innovative empirical analysis - often involving web scraping, quantitative text analysis, and advanced data visualization. 07/07 How web scraping and large-N text analyses can shed light on (European Union) politics

Calabar

All Participants


Image of Inyang, Juliet John
Inyang, Juliet John

Inyang, Juliet is a co-founder of Academic Hive and an academic staff at the Department of Marketing, University of Calabar. Her research interest is in the areas of consumer culture, service innovation, process improvement, higher education, digital transformations and sustainable development. Specifically, she is interested in combining computational, quantitative and qualitative methods to unravel key insights about human behaviour in society. Juliet participated in the 2022 SICSS-Paris location.

Image of Grace Ihejiamaizu Paul-Anietie
Grace Ihejiamaizu Paul-Anietie

Grace Ihejiamaizu is a co-founder of Academic Hive and an academic staff (Lecturer II) at UNICAL. She is currently undertaking her PhD in North America. Her research interest is in improving the lives of women social entrepreneurs in Nigeria through employability, entrepreneurship and digital skills.

Image of Inyang, John Okiri
Inyang, John Okiri

John is a postgraduate student and early-career faculty at the Department of Economics, University of Calabar. He is a researcher and project manager with a keen interest in health economics, development economics and public sector economics research.

Image of Otobi,Augustine Ogbaji
Otobi,Augustine Ogbaji

Augustine is an avid researcher who loves to use computational tools to investigate the WHY, WHEN, WHERE and HOW of events, patterns and systems represented by numbers and other data structures. He is a postgraduate student in the department of Computer Science and his research area is in Data Science/Machine Learning. His research spans climate-related issues, fraud and risk prediction in insurance, expert systems and distributed databases. Augustine participated in the 2022 SICSS-Covenant location.

Image of Professor Bassey Igri Okon
Professor Bassey Igri Okon

Bassey Igri Okon is a Professor of Animal Science (specialization- Animal Production) and currently the Director of Research and Development at the University of Calabar. Bassey takes pleasure in guiding and facilitating trainings and group activities of young academics and researchers at the University of Calabar.

Image of Professor Joseph Eyo Duke
Professor Joseph Eyo Duke

Joe Duke is a Professor of Business Management and the Dean, Faculty of Management Sciences at the University of Calabar. His expertise is in Human Capital development and HRM practices.

Image of Professor Mbe Nja
Professor Mbe Nja

Mbe Nja is a Professor of Mathematical Statistics; Director, Open and Distance Learning Centre, and former Director, Centre for Teaching and Learning Excellence all in the University of Calabar. His interest is in Experimental Design (Generalized Linear Models) and his proficiency is in Algorithm development using R, MATLAB and SPSS. He is also a Fellow, Royal Statistical Society (London).

Image of Elijah Appiah
Elijah Appiah
Elijah Appiah is an Economist and Data Scientist who loves using data to solve economic problems. With expertise in econometric modeling and data science, he has trained numerous students worldwide in the field of data science. Elijah is proficient in various data science tools, including but not limited to Python, R, SQL, Tableau, and TensorFlow, enabling him to employ advanced data analytics and machine learning techniques. He is currently a Ph.D. Economics student at the National Institute of Development Administration (NIDA) in Bangkok, Thailand. Elijah has authored books, namely, “Data Analysis with R Programming” and “Simplified Mathematical Economics”.
Image of Precious Adebola
Precious Adebola
Precious Adebola is a public health scientist with broad research interests in the intersection of computation and technology with health and genomic data. She has a Master of Public Health from the University of Ibadan, Nigeria, and a Master of Science in Bioinformatics from Covenant University, Nigeria. She currently works as a bioinformatician with the Global Health Research Unit for the Surveillance of Antimicrobial Resistance, Ibadan, Nigeria.
Image of Edith Darin
Edith Darin
Edith Darin has been mapping and estimating population for the WorldPop research group at the University of Southampton since 2018. She develops advanced statistical models to tackle outdated or incomplete population count mainly in sub-Saharan Africa. She led collaborations with the Burkina Faso and the Mali Statistics offices to fill the gaps in their census (2020 and 2022) caused by security challenges. To ensure knowledge transfer she developed courses in close partnership with UNFPA. Her work has been featured in several peer-reviewed publications (Remote Sensing, Nature Communications, Gates Open Research) and relayed by different institutions (Bill and Melinda Gates Foundation, GRID3).
Image of Dr. Idongesit Efaemiode Eteng
Dr. Idongesit Efaemiode Eteng
I am Dr. Idongesit Efaemiode Eteng, an accomplished academic and researcher with a Ph.D. from the University of Ibadan, Nigeria's premier institution. With over 17 years of teaching experience, I have had the privilege of imparting knowledge to students from diverse backgrounds. My publication record and international research presentations in Ghana, Scotland, London, and the USA underscore my global academic presence. I specialize in Software Engineering, Data Science, Machine Learning, and Formal Methods, with a particular focus on health and education applications, reflecting my commitment to real-world problem-solving. Some of my notable projects include collaboration tools for academia-industry partnerships and medical support tools for health issues. Proficient in programming languages like Java, Python, and R, I am also known for my excellence in public speaking, and I have recently published a novel titled 'THE CALL,' adding a creative dimension to my professional portfolio.
Image of Rhoda Asuquo
Rhoda Asuquo
Rhoda Peter Asuquo is a young medical doctor currently practicing in Akwa Ibom State. She is passionate about changing the narrative in the Nigerian health sector. She is research-driven and strongly believes that solutions to advancing health in Nigeria and beyond are through research hence her pursuit of a Masters degree in Research and the application of data science in genomics can bring change in the area of prevention through medical genetic studies. Twitter
Image of Lawrence Nsor
Lawrence Nsor
Lawrence Nsor is a Professional Registered Land Surveyor, registered by the Surveyors Council of Nigeria, and Self-taught Data Scientist. He is founder and Director of Vantage Survey and Mapping Services a company registered by the Corporate Affairs Commission, offering services in the fields of GIS, Land, engineering and Property Surveys, Data Collection and Analysis, GIS Web Development, and other Data, GIS & Survey Consultancy services.
Image of Yohanna	Waliya
Yohanna Waliya
Yohanna Joseph Waliya is a lecturer at the University of Calabar, Calabar-Nigeria. He obtained M.A. French Studies (Twitterature;Twitterbot poetry) at the Ahmadu Bello University, Zaria, Nigeria. He is a Nigerian digital poet, distant writer, ludokinetic writer, novelist, playwright, python programmer, winner of the Janusz Korczak Prize for Global South 2020, Electronic Literature Organization Research Fellow, UNESCO Janusz Korczak Fellow, Creator & Curator of MAELD and ADELD [2022 Emerging Open Scholarship Award: Honourable mention by The Canadian Social Knowledge Institute (C-SKI)], Executive Director of AELA& ADELI (https://africanelit.org ), International Association for Advancement of Artificial Intelligence Conference on Web and Social Media [ICWSM ] Scholar 2021-2022, Scrimba Scholar 2022-2023, and Hastac Scholar 2021-2023. He writes in English and French. Among his works are: La récolte de vie (play), Monde 2.0 (play), Hégémonie Disparue (novel), Quand l’Afrique se lèvera (novel), Homosalus (digital poetry), Momenta (digital poetry), @TinyKorczak (Twitterbot-poetry), Climatophosis (digital poetry: The best use of DH for Fun 2020), Inferno 2.0 (ludokinetic poetry) etc. Linkedln, Google Scholar
Image of Olufemi	Popoola
Olufemi Popoola
Olufemi Popoola is a research fellow at the Nigerian Institute of Social and Economic Research, Nigeria. His research interests are in the areas of development economics, innovation studies, food security and climate change. He is experienced in handling large datasets and data analysis.
Image of Olawale	Akinrinde
Olawale Akinrinde
Dr Olawale Akinrinde teaches & conducts research in Defence, Security and Strategic studies in the Department of Political Sciences, Osun State University, Nigeria. Dr Olawale holds an outstanding PhD in Defence and Strategic Studies from the prestigious Nigerian Defence Academy, with an M.Sc. in International Relations from Nigeria’s Premier University, the University of Ibadan, and a First-Class Bachelor’s Degree in Political Science and International Relations from Osun State University. Linkedln, Google Scholar
Image of Oluwadamilare Odu-Onikosi
Oluwadamilare Odu-Onikosi
Oluwadamilare Odu-Onikosi is a PhD Student in Project Management at the Lagos State University and a Research Scholar at the Research Methods Program 2023 of the Leaders of Africa Institute. His interest gravitates around Project Management, Innovation, Entrepreneurship and Data Analytics. He is the Chief Innovation Officer at Innovation Etcetera, a firm with vast expertise in Project Management, Research & Development and Training. He earned the Nigeria Certificate in Education (NCE) in Economics and Computer Science from the Adeniran Ogunsanya College of Education, a Bachelor of Technology (Honours) degree in Management Technology and a Master of Science degree in Project Management (Distinction) from the Lagos State University.
Image of Doris Addo
Doris Addo
Doris Elemi Addo is a Lecturer in the Department of Environmental Education, Faculty of Arts and Social Science Education University of Calabar and Ph.D Student in UNN. She has acquired knowledge through training attended, practical hands-on experience,featured in paper presentations and publications. Her research interest includes Pollution and waste management, Environmental awareness, Conservation and Geography.
Image of Emmanuel Michael
Emmanuel Michael
Emmanuel Ikpe Michael, Ph.D., is a passionate researcher, academician with expertise in microbiology and public health. He holds a Doctor of Philosophy degree in Microbiology and has published scientific studies in prestigious journals. With a strong background in teaching and instructional techniques, Emmanuel is committed to engaging students in research-based and high-performance learning sessions. He possesses a range of skills in microbiology techniques and the identification of microorganisms. Emmanuel has also gained extensive research experience through various projects and has received training in project management and health safety and environment.
Image of Bassey Onugu
Bassey Onugu
My name is Bassey, I hail from Biakpan in Biased Local Government Area of Cross River State, Nigeria. I attended Hope Waddel Training Institution, Calabar for my post-primary education . I am currently undertaking a ph.d in health services marketing in the University of Calabar, Calabar, Nigeria. I also work as a school leader in a high school in Cross River State, Nigeria and have special interest in early child development. The institute of chartered Accountant of Nigeria gave me three awards for my outstanding performance during its 2011 ATS examination. My hubbies are singing and reading stories.
Image of Abubakar Aliyu
Abubakar Aliyu
Abubakar Aliyu is a Technical Writer with a background in computer engineering and an emphasis on Machine learning and Data science. He has a broad interest in harnessing Data science for social good—Governance and Social justice—and is affiliated with the Arewa Data Science Academy and the Almajiri Child Rights Initiative. Medium
Image of Edet Okon
Edet Okon
Edet Okon is an accomplished professional, nearing completion of an MSc in Business Management at the University of Calabar. His academic focus spans international business, sustainability, innovation, and technology management. Edet excels as a management analyst at Henshaw Capital Partners Limited, and he is the founder and CEO of Eds Global Consults, a consulting firm guiding SMEs to enhance their productivity. Additionally, he is a published author, and recipient of numerous awards and academic scholarships.
Image of Felix	Eke
Felix Eke
Felix Eke is an Assistant Professor in the Department of Economics, University of Calabar, Nigeria and has a Ph.D in Development Economics from the same University in 2016. His research is focused on Institutional efficiency/strengthening and development.
Image of Mercy Ebele Eboh
Mercy Ebele Eboh
Eboh Mercy Ebele is an assistant Lecturer at Delta State University Abraka, Nigeria. Her scholarly pursuits concentrate on Digital marketing and Brand Management. she has a deep passion for exploring the Dynamics of the digital world of marketing. Her works illuminates the ever_evoving marketing strategies that can be employed to navigate the digital market space.
Image of Uduakobong Otu
Uduakobong Otu
My name is Uduakobong Effiong Otu, I am a PHD student in the University of Calabar studying Marketing. My research interest are includes logistics and supply chain management, product packaging, Marketing research and Methodology. I am very keen on quantitative research.
Image of Edward Afu
Edward Afu
Edward Ayim Afu is an Assistant Lecturer at the Department of Environmental University of Calabar, Nigeria. With a research interest in climate change mitigation, adaptation & sustainable development, environmental politics & governance, sustainable tourism & ecotourism.
Image of Chidera Eze
Chidera Eze
Eze Chidera Prince is a graduating masters student of Management Infromation System in the Department of Computer and Information Science. He uses deep learning algorithms in developing intrusion detection models that can combat different kinds of cyber-attacks on autonomous vehicles. Scopus
Image of Igharo Amechi Endurance
Igharo Amechi Endurance
My name is Igharo Amechi Endurance from Edo State of Nigeria, i have bachelor and masters degree in economics from the Ambrose Alli University, ekpoma and the Usmanu Danfodiyo University sokoto. I'm currently a PhD student in the department of economics, university of calabar.
Image of Bibiana	Ineji
Bibiana Ineji
Bibiana Ineji is a communication researcher in the Department of Mass Communication, at the University of Cross River State, Nigeria. Bibiana Obtained her PhD in Development Communication and Political Communication. Her research interest is in social and behavior change communication in developing nations. She uses mixed-method; qualitative, and quantitative research to address social problems. She holds. a Bachelors degree in Mass Communication and a Masterss degree in Mass communication; Social and behavior change communication option.
Image of Sarah	Enwa
Sarah Enwa
My name is Sarah Enwa a PhD student of Agricultural Economics, Faculty of Agriculture, State University Abraka Nigeria. My research interest include, Agribusiness management, Production and development economics. I currently have about 15 schorlarly published articles
Image of Dibie Nkechi Patricia
Dibie Nkechi Patricia
Dibie Nkechi Patricia is a dedicated Ph.D student of Business Management at Delta State University, Abraka also serving as a Graduate Assistant lecturer in the University. My passion lies in acquiring new knowledge and sharing it with the younger generation. I am committed to enhancing students' academic performance and adding value to the educational system,Through quality research, teaching and mentoring.
Image of Joseph David
Joseph David
Joseph David is Research and Teaching Assistant at Lagos Business School, Pan-Atlantic University, Lagos. He is also a Research Associate at the Centre for Economic Policy and Development Research (CEPDeR), Nigeria. Joseph’s research interest revolves around development economics, public finance, corruption, energy economics, and the economics of crime (with a bias in money laundering). His current research focuses on determining the quantum, flows, and laundering of illicit funds associated with criminal and illegal activities such as grant corrupt practices, kidnapping, terrorism, and tax evasion, amongst others, in Nigeria, Africa, and the United Arab Emirates (UAE). Joseph participated in the 2022 SICSS-Covenant.
Image of Sven Lampe
Sven Lampe
Sven Lampe works as a research assistant at the University of Oldenburg. He holds a two-subject bachelor's degree in computer science and German studies as well as a master's degree in computer science. He is currently project coordinator for research field 1 in the joint project Wärmewende Nordwest (Heat Turnaround Northwest), in which he is working on reducing heat losses in residential buildings. He was teaching assistant in 2022 for SICSS JIAS/IPATC and in 2023 for SICSS IPATC, both at the University of Johannesburg.

Chile

All Participants


Image of Andrés Abeliuk
Andrés Abeliuk
Andrés Abeliuk is an assistant professor at the Department of Computer Science at the University of Chile and a researcher at the National Center for Artificial Intelligence (CENIA). His research studies the relationship between algorithms and humans in social computing systems, applying machine learning models, optimization, game theory, and online experiments to drive collective behavior toward more efficient social outcomes. In 2016, he received his Ph.D. in computer science from the University of Melbourne, Australia. His thesis was on the optimality and predictability of socially influenced online markets.
Image of Pablo Beytía
Pablo Beytía
Pablo Beytía is a lecturer of digital methods for social research at the Institute of Sociology of the Catholic University of Chile and a Ph.D. candidate in the Department of Social Sciences at the Humboldt University of Berlin. He is also a research fellow at the Weizenbaum Institute for the Networked Society (Germany) and director of the social analytics platform Monitor Social (www.monitorsocial.cl). His doctoral research focuses on how Wikipedia frames information about humans by creating biographies that establish content inequalities favoring specific social groups. Pablo’s research interests include digital discourse, open knowledge, platform power, digital social memory, and artificial intelligence for social data reporting.
Image of Juan Reutter
Juan Reutter
Juan is an associate professor at the Department of Computer Science and the institute for Mathematical Engineering and Computing of Pontificia Universidad Católica de Chile, and is the deputy director of the Institute for Foundational Research on Data (IMFD). His research interest has to do with mathematical foundations of data management, web data and data science. Juan received his PhD at the University of Edinburgh in 2013, and his thesis was awarded the BCS distinguished dissertation award. Juan's work has been also recognized with the Cor Baayen Young Researcher Award, and best paper awards at PODS 2011, ISWC 2019 and an outstanding paper award at ICLR 2022.
Image of Hernán Sarmiento
Hernán Sarmiento
Hernán Sarmiento is a postdoctoral researcher at Millennium Institute for Foundational Research on Data (IMFD). He is finishing his Ph.D. in Computer Science at the Department of Computer Science at the University of Chile. His interests include social network analysis using data mining and machine learning approaches applied to several topics, such as crisis informatics, polarization, and disinformation.
Image of Pedro Seguel
Pedro Seguel
Pedro Seguel is a Ph.D. candidate and lecturer in Management of Information Systems at McGill University. His research combines computational social sciences (i.e., NLP) and qualitative methodologies to study the diffusion of new technological practices. His thesis focuses on how institutional pressures -expressed in discourse dynamics- can explain changes in digital innovation and IT workforce. Additionally, He is interested in the broader impacts of emerging technologies, including projects in fairness and accountability in AI Systems and the institutionalization of carbon-aware computing.
Image of Claudia López Moncada
Claudia López Moncada
Claudia's research and teaching activities focus on human-centered computing. Her projects concentrate on two broad lines: social computing and human-centered artificial intelligence. She is the co-director of the user-experience (UX) Lab at UTFSM, Chile. Also, she is an associate researcher at the National Center of Artificial Intelligence (CENIA) and a principal researcher at the Millennium Nucleus Futures of Artificial Intelligence Research (FAIR). Currently, she serves as general co-chair of CSCW'24 and as a member of the Steering Committee of ChileWiC. She has a Ph. D. in Information Sciences and Technology from the University of Pittsburgh, USA.
Image of Felipe Bravo-Márquez
Felipe Bravo-Márquez
Felipe Bravo-Marquez is Assistant Professor with the Department of Computer Science at the University of Chile, Associate Researcher at the National Center for Artificial Intelligence Research (CENIA) , and Young Researcher at Millennium Institute for Foundational Research on Data (IMFD). He conducted his PhD degree in the Machine Learning Group at the University of Waikato, New Zealand, where he also held a research fellow position for two years. He currently holds an Honorary Research Associate position with this group. Previously, he received two engineering degrees in the fields of computer science and industrial engineering, and a masters degree in computer science, all from the University of Chile. His research interests and expertise lie in the acquisition of knowledge and information from natural language, spanning the overlapping fields of natural language processing (NLP), machine learning (ML), artificial intelligence (AI), and information retrieval (IR). During his research career he has developed several NLP and ML methods for the analysis of opinions and emotions in social media, as well as other applications focused on fairness, health, education, among others. His work has been published in top tier AI conferences and journals e.g., IJCAI, ICWSM, SIGIR, EACL, COLING, ECAI, JMLR, Knowledge-based Systems. He has been part of the program committees of important conferences in natural language processing and artificial intelligence, including ACL, AAAI, EMNLP, NAACL, IJCAI, and ECAI.
Image of Juan Pablo Luna
Juan Pablo Luna
Investigador Asociado VioDemos. Profesor titular de la Escuela de Gobierno de la Pontificia Universidad Católica de Chile. Participa en el Instituto Milenio Fundamento de los Datos, en el Instituto Milenio para la Investigación en Violencia y Democracia y en el Centro de Ecología Aplicada y Sustentabilidad. Actualmente es investigador responsable del proyecto FONDECYT “Unequal Democracies in Weak(er) States. Assesing Latin America’s Development Trap” (2023-2026) y en 2023 recibió la beca The Harry Frank Guggenheim Foundation para desarrollar la investigación “Organized Crime, State Crises, and the Consolidation of Violent Democracies”. Doctor en Ciencia Política de la University of North Carolina at Chapel Hill. Sus principales intereses de investigación son crimen organizado, representación política,sistemas de partido, capacidad del Estado y el desarrollo de metodologías que combinan ciencia social computacional con análisis cualitativo clásico (thick data).
Image of Marcelo Mendoza
Marcelo Mendoza
Marcelo Mendoza received his master's degree in informatics from the Federico Santa María Technical University, Chile, and his Ph.D. in computer science from the University of Chile. He held a postdoctoral position at Yahoo Research. He is currently a professor in the Department of Computer Science at the Pontifical Catholic University of Chile. He is a founder and former President of the Chilean Association for Pattern Recognition. He is currently principal researcher at the National Center for Artificial Intelligence and Associate Researcher at the Millennium Institute for Foundational Research on Data. His research has addressed the relationship between the stance of Twitter users and the veracity of their messages, the design and implementation of automated predictive model for fake news, the possibilities and limitations of sentiment analysis models on social networks, the relationships between opinion dynamics and political election outcomes, analysis of television media bias using NLP, the predictive power of reactions from Twitter users to infer earthquake damage levels, the use of the transformer architecture's self-attention mechanisms for stance classification, the develop of bot detection methods based on network features, and the predictive capacities of graph neural networks to anticipate controversy in social media conversation threads.
Image of Jazmine Maldonado
Jazmine Maldonado
Jazmine Maldonado is the Chief Executive of the Innovation and Technology Transfer Direction at the Millenium Institute Foundational Research on Data. She holds a Master's degree in Computer Science from the University of Chile, where her research areas of interest focused on Information Retrieval, Data Mining, and Data Visualization. Currently, she is dedicated to management and agile methodologies applied to data science projects. Jazmine is also a co-founder of an NGO called Niñas Pro, which aims to empower girls through teaching them to code.
Image of Gonzalo Rivero
Gonzalo Rivero
Gonzalo Rivero is the associate director of Data Labs at Pew Research Center. He is an expert in social research methodology with a focus on computational social science and reproducibility. In his research, Rivero studies public opinion, political behavior, and political representation particularly in the context of digital politics. Prior to joining Pew Research Center in 2021, Rivero worked as statistician and data scientist at the Statistics and Evaluation Sciences Unit of Westat and at the Scientific Research Group of YouGov. He holds a doctorate in Politics from New York University. He is most recently the co-author of Retooling Politics: How Digital Media are Shaping Democracy, published by Cambridge University Press in 2020.
Image of Mauricio Bucca
Mauricio Bucca
Mauricio is an Assistant Professor in Sociology at the Universidad Católica de Chile. Previously, he was a Max Weber Postdoctoral Fellow at the European University Institute and earned a Ph.D. in Sociology at Cornell University. He studies labor market inequalities, intergenerational mobility and beliefs about inequality using a combination of statistical modeling, empirical strategies for causal inference, and experimental and computational methods. His work has been published in academic journals such as Science Advances, Sociological Methods and Research, RSF: The Russell Sage Foundation Journal of the Social Sciences, and Research in Social Stratification and Mobility, and covered by popular media outlets such and the New York Times, Washington Post, New Scientist, Science Daily, among others.
Image of Antonio Diaz Araujo
Antonio Diaz Araujo
Antonio will be part of a Panel on Chilean industry experience in computational social science applications. He is an Industrial Civil Engineer from the University of Chile, Partner and General Manager of Unholster, Founder of Decide Chile, entrepreneur, director of companies, and startup investor. He has over 20 years of experience in Big Data, optimization, data mining, and optimization technologies for large volumes of data.
Image of Cristián Ayala
Cristián Ayala
Cristián will be part of a Panel on Chilean industry experience in computational social science applications. Cristián is an Industrial Civil Engineer and Master in Sociology from the Pontificia Universidad Católica de Chile. He is the Director of DESUC and has extensive experience leading multidisciplinary teams in studies linked to the public and private sectors, with various methodologies and analysis techniques. He has specialized in designing and surveying complex quantitative studies and the application of studies through digital platforms.
Image of Alexandra	Uribe
Alexandra Uribe
Alexandra Uribe is an Economist graduated from the University of Chile, currently working in a civil organization called Elige Educar. Her work focuses on teachers working in the field of school education, specifically on researching topics related to teachers' trajectory and retention, working conditions, and their first years of experience.
Image of Sam Plummer
Sam Plummer
Sam Plummer is an Associate Research Scholar at the Columbia University Justice Lab where she studies punishment and inequality in the United States. She also has research interests in gender and critical social theory. She received her PhD in Sociology from the University of Pittsburgh in 2019.
Image of Paula Reveco
Paula Reveco
Paula Reveco is a professor of the methodological lines of research for the career in psychology and social sciences at the USACH, the UNIACC and the UDP, in Chile. She has a master's degree in statistics from the UC and a psychologist from the UChile. Her interests are equality towards women, open science, inclusion, decentralization and climate change.
Image of Alonso Silva Espinoza
Alonso Silva Espinoza
Sociologist graduated from the University of Valparaíso, currently in the process of obtaining a Master's degree in Science, Technology & Society at the Alberto Hurtado University, with interests on the implications of the advancement of digital technology, including the use of big data for decision-making, cyberdemocracy and algorithmic governance.
Image of Kevin Carrasco
Kevin Carrasco
Kevin Carrasco is a sociologist and has a master's degree in social sciences from the University of Chile. His lines of research focus mainly on the quantitative study of social reality, addressing issues of citizenship education and meritocracy, as well as labor relations in the context of the new digital delivery platforms. All within the framework of open science.
Image of Rebeca Orellana-Parada
Rebeca Orellana-Parada
Rebeca is in the process of completing her Master's program in Sociology at the Pontifical Catholic University of Chile and holds a Bachelor's degree in Sociology from the University of Chile. She possesses a keen interest in public opinion studies and the dynamics of social interactions within social media, forging connections between the social sciences and computational sciences. Alongside her academic endeavors, she has dedicated herself to teaching, with a focus on both qualitative and quantitative methodologies, and has actively participated in research on social movements.
Image of Sebastian Ascui
Sebastian Ascui
Sebastian is an anthropologist and a PhD Student in Sociology and Social Policy at Lingnan University, Hong Kong SAR. His main research interests are in research methods, mathematical sociology, big data techniques, applied econometrics for Public Policy, and Machine Learning.
Image of Cesar Marin Flores
Cesar Marin Flores
Cesar Marin Flores is an Engineer and holds an MSc in Data Science. He works as a Data Scientist at the Institute of Data Science at the Universidad del Desarrollo. His research focuses on the impact of mobility on public policies. Currently, he is actively involved in a project investigating the patterns and dynamics of mobility in Santiago. By leveraging digital traces derived from telecommunications data, Cesar utilizes data-driven approaches to inform decision-making processes in this area.
Image of Felipe Labra
Felipe Labra
Felipe Labra is a PhD candidate at the University of Chile (Territory, Space and Society Doctoral Program). He studies digital territories and digital nature generated by grassroots social movements as seeds of transformative change. His methodology approach combines digital etnography, netnography and neogeography, using methods like data mining and online interviews for discourses analysis, social network analysis, web-based geosurveys and geospatial platforms analysis. He tries to have an interdisciplinary approach intersecting digital geographies, critical GISciences, political ecology and sustainability sciences, applied on social-ecological transformations studies.
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Ximena Catalán
Ximena Catalán is a postdoctoral researcher in the Faculty of Education at the Pontificia Universidad Católica de Chile and in the Millennium Nucleus Students' Experiences of Higher Education. Her research interests focus on evaluating programs and policies related to the transition to higher education from an equity perspective, utilizing a diverse range of methods. Additionally, she is insterested in diversifying the dissemination of scientific evidence to reach broader audiences, including policy makers and institutional actors.
Image of María Jesus Meléndez Berndt
María Jesus Meléndez Berndt
Sociology thesis student in Universidad de Chile. Her undergraduate thesis studies Chilean politics through methodologies such as network analysis and semantic analysis. She has experience working as a teaching assistant in courses such as Introduction to Data Science and ¿Do science and technology have gender?.
Image of Isis Urgell
Isis Urgell
Isis Urgell is a PhD candidate at Monash University, Australia, in Philosophy of Science and Epistemology. She obtained a BA-MA in Philosophy with an orientation in Formal Logic from the University of Buenos Aires, Argentina. Her current research topic is the influence of political polarization on the evaluation of scientific content in social media. From a methodological point of view her research employs social network analysis and content analysis to understand large patterns of speech and online behaviour related to anti-science attitudes, misinformation spread and political polarization. She is also interested in how political and moral values shape science perception in social media environments. Other interests include corpus analysis and community detection methodologies.
Image of Daniel Saavedra
Daniel Saavedra
Daniel Saavedra is a mathematician engineer who holds a master's degree in engineering sciences from Pontificia Universidad Católica de Chile. At present, he is pursuing a Ph.D in statistics with a specific focus on machine learning, educational data analysis, and longitudinal observational studies.
Image of Adolfo Fuentes
Adolfo Fuentes
Civil Industrial Engineer and Master of Science in Engineering, Universidad Diego Portales, Diploma in Business Intelligence, Universidad de Chile, Diploma in Data Science and Big Data Analytics, MIT, Data Science & AI Engineer Professional Certificate, IBM, Ph.D. Student in Complex Systems and Social Complexity, Universidad Del Desarrollo. Professional with 9 years of experience developing actionable predictive models using Machine Learning and Deep Learning techniques in leading Retail and Services companies in Marketing, Commercial and Customer Care areas.
Image of Roberto Cantillan
Roberto Cantillan
I am a doctoral student in Sociology at the Pontificia Universidad Católica de Chile and an assistant at the Millennium Nucleus for the Study of Labor Market Mismatch (LM2C2). My doctoral research uses a structural and network perspective to analyze mobility, diffusion, and segregation patterns in the Chilean labor market from an intragenerational viewpoint.
Image of Valentina González
Valentina González
Valentina González is a Ph.D. candidate in Sociology at the Pontificia Universidad Católica de Chile. She holds a BA in Philosophy and Mcs in Social Sciences. She is a student researcher at the Millennium Institute for Care Research (MICARE). Her current research explores different dimensions of gender-based inequalities in caregiving over time from panel data.
Image of Javiera Rosell
Javiera Rosell
Javiera works at the Center of Studies of Old Age and Aging Pontificia Universidad Católica de Chile, where she also serves as a professor in the School of Psychology. Additionaly, she is a postdoctoral fellow at the Millennium Institute of Care Research (MICARE). Her primary research interest is around the impact of technology on the well-being of older adults.
Image of Patricia Chandía González
Patricia Chandía González
Patricia Chandía González is a sociologist and master's student in the Artificial Intelligence program at the Catholic University of Chile. She currently works as a Research Analyst at the CoE Research and Data Science Department of Caja de Compensación Los Andes, a non-profit organization. Here, Patricia leads data-driven initiatives and applies AI tools to improve the management and delivery of benefits to affiliates and their families.
Image of Jan Dimter
Jan Dimter
Jan Dimter is a sociologist from the University of Chile specialized in Computational Social Sciences. He is currently involved in research projects at the Millennium Institute for Foundational Research on Data (IMFD), the Center for the Study of Conflict and Social Cohesion (COES), and Fondecyt. His expertise lies in political sociology, social movements, network science, data mining, NLP, and urban analysis.
Image of Sebastián Massa
Sebastián Massa
Cientista Político. Magíster en Ciencias Sociales mención Sociología de la Modernización, Universidad de Chile. Diplomado en Estadística, Pontificia Universidad Católica de Chile, Diplomado en Estudios Latinoamericanos, Universidad de Santiago. Ha ejercido labores de consultor y docencia a nivel de postgrado en FACSO, Universidad de Chile, nivel de Educación Continua por la Facultad de Matemáticas UC y pregrado por la Universidad Católica Silva Henríquez.
Image of Sebastián Ferrada
Sebastián Ferrada
Sebastián was a postdoctoral researcher at Linköping University. His research interests include Graph and Multimedia Databases, and Federated Heterogeneous Data Management. He obtained his PhD from Universidad de Chile in 2021.
Image of Jorge Ortiz
Jorge Ortiz
I am finishing a Master's program in Computer Science at the University of Chile and I have a Bachelor's degree in Linguistics from Catholic University of Chile. I am excited to continue growing my skills and making a positive impact as a data scientist.
Image of Gabriel Iturra
Gabriel Iturra
I am Gabriel. I am currently working on my master’s thesis on Incremental Text Representation under the supervision of Felipe Bravo-Márquez at the University of Chile. I am a member of the ReLeLa research group at DCC UChile, and my research interests include Incremental Learning, Natural Language Processing, and Streaming Data. Besides research, I really enjoy teaching. In my spare time, I enjoy doing exercises and learning new things from books and videos. I specialize in extracting knowledge and information from unstructured data, focusing on natural language text and streaming learning. My research interests encompass several interrelated fields in this domain: Natural Language Processing, Data Stream Mining, Machine Learning, and Artificial Intelligence.
Image of Cinthia Sánchez
Cinthia Sánchez
Cinthia Sánchez is a PhD Candidate in Computing at the Computer Science Department (DCC) of the University of Chile. She holds a Master's degree in Computer Science (University of Chile) and a degree in Computer Engineering (Agricultural Polytechnic University of Manabí, Ecuador). Her research work is related to data mining, natural language processing, machine learning, and information retrieval. Cinthia participates as a Student Researcher at the Millennium Institute for Foundational Research on Data (Development of Robust Information Structures Project) and the National Center for Artificial Intelligence (Human-Centered AI line) of Chile. She is a Teaching Assistant for the Data Mining course (DCC, and Postgraduate Diploma in Data Science and Engineering), and an Instructor of Visualizations in Python course (Postgraduate Diploma in Python applied to Data Science) at the University of Chile.

Edinburgh

All Participants


Image of Christopher Barrie
Christopher Barrie
Christopher Barrie is Lecturer in Computational Sociology at the University of Edinburgh. He specializes in the study of protest, conflict, and communication. He is particularly interested in advancing the use of use digital trace, news, and communications data to study populations that have traditionally been 'hard-to-reach' in the empirical social sciences.
Image of Tod Van Gunten
Tod Van Gunten
Tod Van Gunten is a comparative economic and political sociologist with interests in social networks, development, organizations, globalization, the sociology of knowledge and professions, and sociological theory. His empirical research centers on elite political networks and the economic sociology of financial institutions, particularly in Latin America.
Image of Aybuke Atalay
Aybuke Atalay
Aybuke Atalay is a PhD student based in the School of Social and Political Science at the University of Edinburgh. She is particularly interested in the role of automated accounts (i.e. bots) in social media manipulation and online disinformation in hybrid regimes. She is currently investigating bots in the Turkish Twittersphere.
Image of Walid Magdy
Walid Magdy
Walid Magdy is a faculty member at the Institute for Language, Cognition and Computation (ILCC), part of the School of Informatics, the Univeristy of Edinburgh. He is also a faculty fellow at The Alan Turing Institute. His main expertise is in computational social science, data mining, and natural language processing. He holds a PhD degree from the School of Computing, Dublin City University (DCU). He has a large industrial background from working earlier for Qatar Computing Research Institute (QCRI), Microsoft, and IBM.
Image of Björn Ross
Björn Ross
Björn Ross is a Lecturer (Assistant Professor) in Computational Social Science at the University of Edinburgh School of Informatics, in the Institute for Language, Cognition and Computation. In his research, he primarily uses computational methods from agent-based modelling, natural language processing and social network analysis to study social media and related technologies. A key focus of his research is to explore different aspects of social media, such as misinformation, hate speech, and the malicious use of automation (bots), as well as how social media can be used effectively for social good, such as in crisis communication.
Image of Akın Ünver
Akın Ünver
Akin Unver is an associate professor of International Relations at Ozyegin University, specializing in conflict research, computational methods and digital crisis communication. He is a fellow of Carnegie Endowment's Digital Democracy Network and serves as a member of TikTok's MENA-T Security Advisory Council. Previously he served as a Research Associate at the Center for Technology and Global Affairs, Oxford University and a Senior Research Fellow at GUARD (Global Urban Analytics for Resilient Defence) at the Alan Turing Institute. He is the author of ‘Defining Turkey’s Kurdish Question: Discourse and Politics Since 1990’ (Routledge Series in Middle Eastern Politics). He is the Istanbul organizer of the Summer Institute in Computational Social Science (SICSS) and the founder of the Istanbul Twitter Developers' Community.
Image of Abdullah Almaatouq
Abdullah Almaatouq
bdullah Almaatouq is a computational social scientist and Assistant Professor at the MIT Sloan School of Management. His research focuses on improving cooperation, coordination, and collective intelligence in decision-making systems, such as teams, committees, crowds, markets, and elections. Abdullah also explores ways to advance social and behavioral research methodology through innovative research designs and theory-building strategies, with the ultimate goal of developing a deeper understanding of collective decision systems and how to design them effectively in various contexts.
Image of Paola Tubaro
Paola Tubaro
Paola Tubaro is Research Professor in sociology and technology at the National Centre for Scientific Research (Centre National de la Recherche Scientifique, CNRS) on the Paris-Saclay campus. She was previously a Reader in economic sociology at the University of Greenwich, London. Her research is inter-disciplinary and leverages synergies between sociology, network science, machine learning and artificial intelligence. She is currently researching the place of human labour in the global production networks of artificial intelligence, and the social conditions of digital platform work in French- and Spanish-speaking countries. She has also extensively published in the fields of data methodologies and research ethics.
Image of Dilara Keküllüoğlu
Dilara Keküllüoğlu
Dilara is a Research Associate (Postdoc) at School of Informatics, University of Edinburgh in Scotland, UK. She is currently working on a Responsible AI project where she aims to make socio-technical organizations answerable for the automated actions they take where these actions can harm people. Her research interests are responsible AI, privacy on social media, human computer interaction, computational social science. She has a PhD from School of Informatics, University of Edinburgh with a thesis titled “Analysing Privacy in Online Social Media” (Supervised by Walid Magdy and Kami Vaniea). Her PhD focused on privacy on social media, especially unintended disclosures and user understanding of privacy controls.
Image of Ugur Ozdemir
Ugur Ozdemir
Ugur is a Lecturer in Quantitative Political Science at the University of Edinburgh. His research interests include comparative political behavior, formal models of electoral politics, and quantitative methods. He is a dedicated advocate of bridging the gap between theoretical modeling and empirical analysis.
Image of Inge Stortenbeker
Inge Stortenbeker
Inge Stortenbeker is a postdoctoral researcher at Radboud University Nijmegen, the Netherlands. In her current research, she focuses on news media reports and online discussions about public cancer screening programmes, using quantitative content analysis and computational methods.
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Simon Ullrich
Simon Ullrich is a PhD student at the University of Copenhagen's Center for Social Data Science. He studies controversies around the green energy transition in a research approach that combines digital methods, SNA, and netnography.
Image of Darja Wischerath
Darja Wischerath
Darja Wischerath is a PhD candidate at the University of Bath. Her research explores how belief in conspiracy theories can lead to violence and violent extremism through the mediating factors of psychological needs, social networks, and ideological narratives. They primarily use online text data and text mining for their analyses.
Image of Maurice Schumann
Maurice Schumann
Maurice P. Schumann is PhD candidate at the Hertie School in Berlin. His dissertation focusses on repression and technology in electoral autocracies. He is also interested in violence dynamics in civil wars. Before starting his PhD, he worked as Consultant at the UN and as Research Assistant at Uppsala University.
Image of Yuan Zhang
Yuan Zhang
Yuan Zhang is a PhD student in Media and Communication Science at the University of Zurich. Her research focuses on the spillover effects of online incivility to offline political activism. She seeks to use computational techniques, such as natural language processing and network analysis, to solve social science problems.
Image of Fabio Carrella
Fabio Carrella
Dr. Fabio Carrella is a Senior Research Associate at the School of Psychological Science of the University of Bristol. He is a member of TeDCog, a research group that studies pressure points between human cognition and online technologies. His current interests concern misinformation and political discourse analysis through computational methodologies.
Image of Lubna Amro
Lubna Amro
Lubna Amro is a postdoctoral researcher at TU Dortmund University on the project From Prediction to Agile Interventions in the Social Sciences (FAIR). Her research focuses on developing and applying statistical methods for multivariate data with robust properties even in the case of heteroscedasticity, small sample sizes, and missing values.
Image of Erin Walk
Erin Walk
Erin Walk is a PhD Candidate in Social and Engineering Systems at MIT. Her work focuses on using social media and other data sources to understand conflict and support hard to reach populations, with projects examining narratives around violence and refugee return in Syria and polarization in the US.
Image of Alberto Arletti
Alberto Arletti
Born in Modena, I first studied psychology and neuroscience both in Italy, Padua and the U.K., UCL. Now, I am pursuing a PhD in statistical science at the University of Padua specialising in non-probability samples.
Image of Siyu Liang
Siyu Liang
Siyu Liang is a PhD student in Political Science at the University of California, Los Angeles. Her research utilizes computational methods to study how the media shapes public opinion in the US and China. Methodologically, she is interested in text analysis, natural language processing, and social networks. Siyu received her BA in Political Science and Statistics from UW-Madison in 2021.
Image of Jose Manuel Camacho Rodriguez
Jose Manuel Camacho Rodriguez
Jose Manuel Camacho Rodriguez is a PhD candidate at the Institute of Mathematical Sciences in Madrid. His primary research interests encompass Cybersecurity and Machine Learning, with a special focus on their applications to online misinformation, including detecting fake news and bots in social media.
Image of Miriam Milzner
Miriam Milzner
Miriam Milzner is a research associate and doctoral candidate at Free University and Weizenbaum Institute Berlin. Drawing from Computational Social Science, she analyzes logics of digital information infrastructures and dynamics of coordinated information manipulation. Prior to the Ph.D., she received a M.A. in Communication Science and a B.A. in Communication Science, Political Science, and Economics.
Image of Emily Godwin
Emily Godwin
Emily Godwin is a second-year PhD student on a Cyber Security CDT programme based at the University of Bath. As a social scientist, she brings a unique yet valuable perspective to the field with an exploration of the development and dissemination of harmful conspiracy theories online.
Selin Akaraci
Selin is an urban planner and public health researcher, holding a PhD in public health. She is currently a postdoctoral research fellow at Queens University Belfast, examines the relationship between built environment features and non-communicable diseases. Selin is also investigating the potential use of AI methods to semi-automate evidence synthesis.
Image of Danae Sanchez Villegas
Danae Sanchez Villegas
Danae Sanchez is a PhD student at Sheffield University under the supervision of Dr. Nikolaos Aletras. Her research interests include NLP and CSS with focus on understanding the social and commercial aspects of language specifically from social media, and analysing the relationship between text and image content of social media posts.
Image of Anna Blair
Anna Blair
Anna is an MSc student of Digital Sociology at the University of Edinburgh. Her dissertation is examining the worlding practices of LGBTQ+ people who use Minecraft. Prior to her masters, she obtained a Bachelors of Architecture at the University of Limerick, Ireland. Her architectural research was situated in the current housing crisis. It proposed the introduction of a spatial commons to one of Ireland's most underprivileged housing estates. Anna also has contemporary art and writing practices which she will use in her future research to facilitate becoming a transdisciplinary researcher and practitioner.
Image of Angela Rijo
Angela Rijo
Angela Rijo holds a masters in psychology and is currently pursuing a PhD in computational social psychology. She is working as a research assistant at SPAC - Social physics and Complexity Lab. Her research interests concern how group affiliations and prior beliefs condition reasoning and decision making.
Image of Desislava  Bocheva
Desislava Bocheva
Dessi Bocheva is a PhD candidate at the University of Bath aiming to utilise machine learning methods to classify online communities by their represented social identities. She is interested in examining the variation of social identity membership in online groups what this means for subgroup formation and group fracturing mechanisms.
Image of Feng Han
Feng Han
Feng Han is currently pursuing a PhD in Sociology at the University of Edinburgh. Her research includes political communication, social movement, and digital governance. Her dissertation research focuses on online grievances and government responsiveness in China. Her research primarily relies on computational text analysis of digital data and social media.
Image of Christian Oswald
Christian Oswald
Christian Oswald is a Research Associate at the Center for Crisis Early Warning at the University of the Bundeswehr Munich, Germany. He obtained a PhD in political science from Trinity College Dublin, Ireland. His research interests are explaining and predicting political violence and instability using quantitative and computational methods.
Image of Enming Kang
Enming Kang
Enming Kang is a postgraduate student studying digital sociology at the University of Edinburgh. He has conducted research on exploring the motivations of people consuming digital products in games. He is also interested in social media platforms and their algorithms, misinformation online and identity politics.
Image of Costanza Marconi
Costanza Marconi
Costanza Marconi is a post-doctoral researcher in the Department of Economics at University of Bergamo (Italy). Her research interests include the application of machine learning and computational methods in public economics and public finance. Her work so far has been focused on health, local policy-making and social capital formation. Costanza holds a MSc in economics from University of York and a double MSc in international politics and economics jointly from the Catholic University in Milan and the Martin-Luther-Universität in Halle-Wittenberg. She is currently in the last leg of her PhD journey, waiting to defend her thesis on the relation between health and migration in the UK and Germany.
Image of Manu Singh
Manu Singh
I am a doctoral candidate at Columbia University in the Political Science department. Before this, I was a Research Specialist II at the Empirical Studies of Conflict group at Princeton University. I have also consulted at UN OCHA Centre for Humanitarian Data as their predictive analytics fellow. I got my Master of Arts degree from Columbia University in Applied Statistics with a Data Science Concentration. My research interests include social media, political communication, electoral politics, geospatial data analysis, bayesian statistics, causal inference, and machine learning.
Image of Bernardo Villegas
Bernardo Villegas
Bernardo is a Data Scientist and Sociologist, He is an MSc student at the University of Edinburg and broadly interested in social data science, computational social science, especially in Natural Language Processing and ML interpretability
Image of André Kupfermann Rodarte
André Kupfermann Rodarte
André is a second-year PhD student at the University of Texas at Austin (School of Journalism and Media). He holds an MPhil in the Sociology of Media and Culture (St. Edmund’s College, University of Cambridge) and an undergraduate degree in Social Communication (ESPM, Brazil). He is a graduate research fellow of the Propaganda Research Team at the Center of Media Engagement. His research interests include political representation, media sociology, and computational propaganda, with an empirical focus on Latin America.
Image of Humeyra Biricik
Humeyra Biricik
Humeyra Biricik is a Doctoral student in Politics at the University of Oxford. Her research interests include the interactions between political Islamists and Naqshbandi tariqas in Turkey, the role of women in Turkish politics, as well as the evolution of political rhetoric used by right-wing Turkish political party leaders.
Image of Selin Akaraci
Selin Akaraci
Selin is an urban planner and public health researcher, holding a PhD in public health. She is currently a postdoctoral research fellow at Queens University Belfast, examines the relationship between built environment features and non-communicable diseases. Selin is also investigating the potential use of AI methods to semi-automate evidence synthesis.
Image of Cecilia Rollano
Cecilia Rollano
Cecilia Rollano is a lecturer and researcher at the UNED in Spain, where she is working on her thesis on digital identity. She holds a degree in Pedagogy and her research interests include computational methods, platforms, gender and video games, among others.
Image of Lara Dal Molin
Lara Dal Molin
Lara is a PhD student in Science, Technology and Innovation Studies and Sociology at the University of Edinburgh, part of the joint programme in Social Data Science with the University of Copenhagen. Her research interests concern the intersection between Artificial Intelligence, language and gender, which she investigates through the social study of GPT language models. Lara also co-coordinates the AI Ethics and Society group at the University of Edinburgh and is a tutor in the Schools of Social and Political Science and Informatics.

FGV/ECMI Brazil

All Participants


Image of Amaro Grassi
Amaro Grassi
Amaro Grassi is a Project Coordinator at the School of Communication, Media and Information at Fundação Getulio Vargas (FGV ECMI). He is a PhD candidate in Political Science at the Institute of Social and Political Studies at the University of the State of Rio de Janeiro (IESP-UERJ), a Master in Sociology at the same institution, and has a major in Social Sciences at UFRGS.
Image of Dalby Dienstbach
Dalby Dienstbach
Dalby Dienstbach has a PhD in Linguistics at the Fluminense Federal University (UFF), a professor at FGV ECMI and a member of the research group on Communication, Society and Digital Media (FGV). He works academically and professionally in the fields of cognitive linguistics, corpus linguistics, computational linguistics and social network analysis.
Image of Danielle Sanches
Danielle Sanches
Danielle Sanches is a professor at FGV ECMI and a PhD in History of Science at the École des Hautes Études en Sciences Sociales in cooperation with the Casa de Oswaldo Cruz/FioCruz. She currently works on Digital Methods, focusing on the influence of the algorithm culture on social practices.
Image of Denisson Silva
Denisson Silva
Denisson holds a PhD in Political Science (UFMG), a Master's degree in Sociology and is a Social Scientist (UFAL). He has experience in Political Science, working mainly on the following themes: political parties, party migration, electoral results, and campaign financing. Researcher at the Center for Legislative Studies (CEL/UFMG), the Citizenship and Public Policy Group (UFAL), and research fellow at EMCI-FGV.
Image of Lucas Roberto
Lucas Roberto
Lucas Roberto da Silva is a professor and researcher at the School of Communication, Media and Information at Fundação Getulio Vargas (FGV ECMI), where he works on data extraction and analysis of social networks. He has a major in Mathematics at the Fluminense Federal University (UFF) and is a Master in Computer Science at the Department of Informatics in PUC-Rio. His main lines of research are Analysis of Social Networks and Natural Language Processing.
Image of Polyana Barbosa
Polyana Barbosa
Polyana Barboza is a professor working with data extraction and analysis on social networks at FGV ECMI. She has a major in Applied Mathematics at the School of Applied Mathematics of Fundação Getulio Vargas (FGV EMAp) and is a Master in Computer Science at the Pontifical Catholic University of Rio de Janeiro (PUC-Rio). Her main lines of research are Social Network Analysis in Digital Media and Multi-agent Systems in Software Engineering.
Image of Sabrina Almeida
Sabrina Almeida
Sabrina Almeida is a political scientist. She has a PhD in Political Science (UFMG) and is a researcher and professor at FGV ECMI. She studies political behavior with an emphasis on participation and political intolerance, as well as research methods on social networks.
Image of Victor Piaia
Victor Piaia
Victor Piaia is a PhD in Sociology at the Institute of Social and Political Studies (IESP-UERJ). He is a professor at FGV ECMI and a member of the Study Group in Political Sociology and Digital Transformations and in Communication, Society and Digital Media. He studies the political effects of transformation in daily communication, focusing on social media platforms and messaging apps.
Image of Guilherme Felitti
Guilherme Felitti
Guilherme Felitti is the founder of Novelo Data, a São Paulo-based data analytics studio focused on creating tools to help analyze large volumes of data. Among the main issues Novelo Data chooses to focus on are the environment, democracy and disinformation campaigns. Novelo Data's main area of specialization is in Natural Language Processing (NLP) applications, with in-house training and refinement of models to process Portuguese language. Insights from Novelo Data have already been published by global vehicles, such as Le Monde, Associated Press, BBC and El País, and Brazilian ones, such as Jornal Nacional, Piauí, Folha de S. Paulo, O Globo, Veja and O Estado de S. Paulo
Image of Leonardo Nascimento
Leonardo Nascimento
Leonardo F. Nascimento is a professor at the Federal University of Bahia. As the Digital Humanities Laboratory (LABHDUFBA) coordinator, he has contributed to research in digital sociology, digital humanities, and computational social science. He is the author of the book “Sociologia Digital: uma breve introdução - EDUFBA – 2020”. In his current research, he is collaborating with InternetLab, UFSC, and AI for Society on a project investigating the intersection of instant messengers and political violence and utilizing a combination of natural language processing (NLP) techniques and mixed qualitative approaches, including discourse analysis and online ethnography.
Image of Tai Nalon
Tai Nalon
Tai Nalon is founder and CEO of award-winning fact-checking and disinformation monitoring company Aos Fatos. She leads the team that won the Gabriel García Márquez Innovation Award in 2020; the Digital Media LATAM award for best digital project in 2020; the Claudio Weber Abramo Data Journalism Award in 2019; and was a finalist for the Online Journalism Awards in the General Excellence category for micro-networking in 2019. With over 14 years of experience in journalism newsrooms and innovation projects, she has worked for several media companies in Rio, Brasília, and São Paulo, including Folha de S.Paulo, piauí, G1, and Veja, always focusing on national politics and public policy. Tai holds a BA in Social Communication, majoring in Journalism, from Uerj (Universidade do Estado do Rio de Janeiro).
Image of Alexsandra Cavalcanti
Alexsandra Cavalcanti
Alexsandra Cavalcanti is a master's student of Political Science at the Federal University of Pernambuco. She is criminal lawyer and has experience on international humanitarian law. Her current research is about the general-raporteur amendments.
Image of Baruque Rodrigues
Baruque Rodrigues
Baruque Rodrigues is a PhD candidate at UFPE. Studies elections and electoral fraud. Worked as a Data Scientist at CGEE and CEPAL.
Image of Daniel Bonatto Seco
Daniel Bonatto Seco
Daniel Bonatto Seco is a Digital Humanities MA student at UFRRJ, Research Fellow in CPDOC/FGV and Data Specialist at Tree Intelligence, a stakeholder management and consulting firm. Works in Natural Language Processing (NLP), Digital Collections, Network Science, Social Network Analysis (SNA), Social Listening and R&D.
Image of Eliana Loureiro
Eliana Loureiro
Eliana Loureiro is a PhD student in Human and Social Sciences at UFABC. She is also a professor and coordinator at FAAP. She is interested in studying computational methods for research on social networks. Her dissertation is about the TikTok algorithm on the reach of fake news posts by presidential candidates during the 2022 elections.
Image of Guilherme Alves
Guilherme Alves
Guilherme Alves is a Master's student in Political Science at The Institute of Social and Political Studies (IESP). He holds a BA in International Relations from the Federal Fluminense University (UFF). His research agenda focus mainly on the following topics: theories of democracy, information in democracies; manipulation and disinformation;
Image of João Camargos
João Camargos
João is currently an MA candidate in Political Science at the Federal University of Minas Gerais, Brazil. He is also a data analyst at the Instituto Ver: Pesquisa e Comunicação Estratégica. João's research is located in the subfield of Political Psychology, aiming to understand the dissemination of elite beliefs and their effects on behavior.
Image of João Gabriel Ribeiro Pessanha Leal
João Gabriel Ribeiro Pessanha Leal
PhD student in Public Health at the National School of Public Health Sergio Arouca (ENSP/FIOCRUZ). Conducts research and statistical analyses focused on databases of sociodemographic, demographic, health, and political behavior/attitude information. Predominantly studies determinants of public policies in Brazilian municipalities. Works on the following themes: Political Parties and Financing of Social Policies, with a focus on the Unified Health System (SUS); Federal Parliamentary Amendments and Financing of the SUS.
Image of José Galdino Neto
José Galdino Neto
José Francelino Galdino Neto is temporary lecturer in the Department of International Relations at the State University of Paraíba, and is a doctoral student in the Department of Political Science at the Federal University of Pernambuco. He has broad interests in international relations theories and foreign policy analysis. His thesis explores the existence of Latin American theories in International Relations. And he is also adjunct editor of the Journal of Scientific Initiation in International Relations at the Federal University of Paraíba.
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Mayres Pequeno
Mayres is a master's student in the Department of Political Science at UFPE, where she also conducts research in the Laboratory of Computational and Experimental Political Science. Currently, her research is focused on attitudes towards marginalized groups and preferences for electoral quotas, using experimental methods. Additionally, she has a bachelor's degree in Social Sciences and works as a Public Policy Evaluation as a Data Science Manager in Recife.
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Mozara Rodrigues
Mozara Rodrigues is a political scientist graduated from Universidade Federal do Estado do Rio de Janeiro, where is currently pursuing a masters in political science. Her research focuses on democracy support in the Latin American region, using surveys and multivariate statistics to analyze the most important factors to increase the democracy support among citizens.
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Pedro Amaral
Pedro Amaral is a researcher and project leader at Law and Technology Research Institute of Recife, focusing on privacy and surveillance. He is a Ph.D. student at Federal University of Pernambuco, researching on democratic oversighting the public security intelligence sector in the context of digitalized societies and tools of surveillance.
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Reinaldo Silva
Project coordinator at Abraji (Brazilian Association of Investigative Journalism) - extensive experience in data journalism and data science for different organizations and transparency and open data projects for journalists and civil society. I coordinate data journalism and data science projects on the Judiciary (Ctrl+X - https://www.ctrlx.org.br/ - and Publique-se - https://publiquese.org.br/), on evidence-based investigations (CruzaGrafos - https://cruzagrafos.abraji.org.br/conteudo/metodologia/), and a partnership with Google News Initiative to collect documents of public interest to supply Pinpoint (https://journaliststudio.google.com/pinpoint/) - a reading project with OCR (Optical character recognition) to find entities in documents and audio transcription. In the last few months I have also started studying machine learning and Artificial Intelligence applied to journalism - as a fellow of Journalism/AI at Polis LSE (https://github.com/JournalismAI/attackdetector).
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Renan Mattos
Renan Mattos is a PhD student in Sociology at the Fluminense Federal University (PPGS-UFF), with a study period at the Nova Institute of Communication (ICNOVA). He is currently pursuing an MBA in Data Science at UFF and is a member of the research group Discourse, Social Networks, and Socio-political Identities (CPDA-UFRRJ) and the Digital Sociology Laboratory (UFF). His main lines of research are digital sociology, discourse analysis, and populism.
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Renata Zampronio
Renata Zampronio is a master student in the Pontifical Catholic University of São Paulo (PUC-SP) Social Science department. Her current research examines resistance practices of young latin migrant women at workplace. She holds a Bsc in Production engineering at University of São Paulo (USP) and she is a member of Latin American Council of Social Sciences (CLACSO) research group on Children and Youth.
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Tomás Borges
Tomás Borges is pursuing a Master's degree in Political Science at IESP-UERJ. He holds a BA in Foreign Languages Applied to International Relations at CEFET-RJ, with an exchange program at Sciences Po Strasbourg. His main interests include distributive politics, citizens' political behavior and social protection in developing countries.
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Yulieth Martinez Villalba
Yulieth Martinez is a doctoral researcher in Political Science at the Federal University of Minas Gerais in Brazil. Her Ph.D. research focuses on understanding the determinants of emergency policymaking within Regional International Organizations during the COVID-19 pandemic. She is interested in researching Regional Integration, International Institutions, Gender, Comparative Studies, and Emergency Politics.

Howard/Mathematica

All Participants


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Terri Adams, Ph.D.
Terri Adams, Ph.D. is a Professor in the Department of Sociology and Criminology at Howard University, and she currently serves as the Associate Dean for Research with the Graduate School. Additionally, she serves as the Deputy Director of the NOAA Cooperative Science Center for Atmospheric Sciences and Meteorology (NCAS-M) at the university. In addition to her administrative duties, Dr. Adams’ conducts research that takes a multidisciplinary approach to examine issues that have both theoretical and practical implications. Her specific research interests include emergency management, policing, violence, and the impact of trauma and disasters on individuals and organizations. Her most recent work centers on the decision-making processes of both individuals and organizations in the face of crisis events. Her most recent publication, Policing in Disasters: Stress, Resilience, and the Challenges of Emergency Management is co-authored with Dr. Leigh Anderson.
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Naniette H. Coleman
Naniette H. Coleman is a Ph.D. candidate in the Sociology Department at the University of California, Berkeley and a UC-National Lab In-Residence Graduate Fellow at Los Alamos National Lab. Since 2016, Naniette has directed the AAC&U award winning Interdisciplinary Research Group on Privacy at Berkeley. Naniette is an affiliate of the Institute for the Study of Societal Issues, the Center for Long-term Cybersecurity, and the Center for Technology, Society, and Policy at Berkeley as well as the Belfer Center for Science and International Affairs, and Berkman-Klein Center for the Internet and Society at Harvard University. Naniette’s research sits at the intersection of the sociology of culture and organizations and focuses on cybersecurity, surveillance, and privacy in the US context. Specifically Naniette’s research examines how organizations assess risk, make decisions, and respond to data breaches and organizational compliance with state, federal, and international privacy laws. Naniette holds a Master of Public Administration with a specialization in Democracy, Politics, and Institutions from the Harvard Kennedy School of Government, and both an M.A. in Economics and a B.A. in Communication from the University at Buffalo, SUNY. A non-traditional student, Naniette’s prior professional experience includes local, state, and federal service, as well as work for two international organizations, and two universities.
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Rebecca (Linchi) Hsu, Ph.D.
Dr. Rebecca Hsu is an Assistant Professor in the Department of Economics at Howard University, Washington, D.C. She has a Ph.D. in Economics from University of Washington, Seattle. Her research concentrates on household economics, intimate partner violence, and the economics of crime. She is currently working on projects on the CARES Act and domestic violence. She has published her research in journals such as Economic Inquiry, Review of Economics of the Household, Feminist Economics, Journal of Family and Economic Issues, and Journal of Economic Studies among others.
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Nicole Jenkins, Ph.D.
Nicole is currently an Assistant Professor in the Department of Sociology and Criminology at Howard University. She received her Doctoral degree from the University of Nevada Las Vegas in the Department of Sociology in 2020. She obtained an M.A. in Sociology in 2017 and B.A. in Sociology in 2015 from the University of Nevada Las Vegas. In 2013, she received an A.A. in Criminal Justice after serving six years of active duty in the United States Air Force as Military Police. She is a proud advocate for social justice and is committed to teaching with such emphasis in topics such as race and ethnic studies, sociology of poverty, problems of the black community, and research methods.
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Anthony K. Wutoh, Ph.D., R.Ph.
Anthony K. Wutoh, Ph.D., R.Ph. is the Provost of Howard University. He previously served in various roles at the University including as Dean of the College of Pharmacy and Assistant Provost for International Programs. Dr. Wutoh has also served as Director for the Center for Minority Health Services Research, and the Center of Excellence. Dr. Wutoh received a Bachelor of Arts degree in Biochemistry from the University of Maryland Baltimore County in 1987. He then completed a Bachelor of Science in Pharmacy, and Doctor of Philosophy in Pharmacy Administration (Pharmacoepidemiology) at the University of Maryland, Baltimore School of Pharmacy. Dr. Wutoh has varied research interests including pharmacoepidemiology, international health, health services/outcomes research, and evaluation of large population databases, particularly in the area of AIDS and HIV infection in older patients. Dr. Wutoh has received over $50 million dollars in grant funding from several sources including; NIH, CDC, USAID, HRSA, AHRQ and foundations, and has published numerous research articles on HIV disease, medication adherence, disease state management, and various other topics in respected research journals, including; the Journal of the American Medical Association, Health Services Research, AIDS & Behavior, the Journal of the National Medical Association, and the Journal of the American Pharmacists Association.
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Henry C. McKoy, Jr., Ph.D.
Dr. Henry C. McKoy, Jr. is the inaugural Director of the Office of State and Community Energy Programs (SCEP) in the United States Department of Energy. The newly created SCEP, within the Office of the Under Secretary for Infrastructure, manages $16 billion dollars in federal funding and supports the transition to an equitable clean energy economy by working with community-level implementation partners and State Energy Offices. SCEP manages the Weatherization Assistance Program, State Energy Program, Community Energy Programs, and Energy Future Grants. He is a seasoned professional in business, community and economic development, policy, government, finance, energy, philanthropy and the academic worlds. Prior to the Presidential appointment to the US DOE, Dr. McKoy served on the faculty at North Carolina Central University School of Business where he led the entrepreneurship program, with additional academic appointments at Duke, the UNC-Chapel Hill, and Harvard. He is a former senior banking executive, successful entrepreneur, and former Assistant Secretary of the NC Department of Commerce. Henry has been a Fellow of the Kenan Institute of Private Enterprise at UNC-Chapel Hill, an affiliated faculty of the Samuel DuBois Cook Center on Social Equity, as well as an Aspen Institute Scholar. McKoy has won many awards and honors. He has been a sought-after consultant by both government and private industry regarding inclusive entrepreneurship and economic development policy. He has also been an active economic development professional, focused on economic inclusivity in mixed-use real estate projects. He is a regular contributor to media – television, radio, and print. Dr. McKoy engages in over 120 media interviews annually with local, state, regional, national, and international media. He speaks on dozens of academic and public panels a year speaking on his research across the US, and publishes in peer-reviewed journals, as well as mass media publications. His most recent writing appears in the new book The Pandemic Divide: How Covid Increased Inequality in America (Duke University Press), where his chapter, Race, Entrepreneurship, and COVID-19: Black Small Business Survival in Prepandemic and Postpandemic America analyzes and speaks on the impact that COVID has had on the Black economic landscape. He holds degrees from UNC-Chapel Hill’s Kenan-Flagler Business School (B.S.), Duke’s Nicholas School of the Environment (M.S.), and UNC-Chapel Hill’s Department of City and Regional Planning with concentrations in Economic Development, Entrepreneurship, and Impact Economics and Investing (Ph.D.).
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Latanya Sweeney, Ph.D.
Professor of the Practice of Government and Technology at the Harvard Kennedy School and in the Harvard Faculty of Arts and Sciences, Editor-in-Chief of Technology Science, and the founding Director of the Public Interest Tech Lab, Data Privacy Lab, and the Tech Science Program at Harvard. Sweeney creates and uses technology to assess and solve societal, political and governance problems, and teaches others how to do the same. She pioneered the field known as data privacy and her work is cited in the HIPAA Privacy Rule and other federal privacy regulations worldwide. Her work on discrimination in online ads ignited the new research area known as algorithmic fairness. She is an elected fellow of the American College of Medical Informatics, with more than 100 academic publications, 3 patents, 7000 academic citations, and 3 company spin-offs. She has received numerous professional, academic and lifetime achievement awards and testified before federal and international government bodies. Among other federal appointments, Sweeney formerly served as the Chief Technology Officer at the U.S. Federal Trade Commission. In 2018, Harvard launched its new Program in Technology Science, which prepares students for jobs as technologists that work in the public interest. The program is based on Sweeney's prior success at teaching students to scientifically assess unforeseen consequences in technology and to work in civil society organizations, government, and technology companies. Sweeney joined with 50 scholars worldwide to launch the Technology Science Initiative to promote the approach broadly. Sweeney earned her Ph.D. in computer science from MIT in 2001, being the first black woman to do so. Before joining Harvard as a faculty member, Sweeney was the Distinguished Professor of Computer Science and Policy at Carnegie Mellon University, where she taught computer science, technology and policy from 1998 to 2011. She and her spouse currently serve as the X.D. and Nancy Yang Faculty Deans of Currier House at Harvard College. Professor Sweeney also serves as a member of the inaugural global Technology Policy Council of the Association for Computing Machinery, the world's largest association of computer scientists and professionals.
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Jeff Bernson, M.P.A, M.P.H.
Mathematica, a full-service research and analytics firm committed to helping address the world’s most pressing development challenges, announced that Jeff Bernson has been named senior vice president and general manager of the International Unit. Bernson takes on this role as Mathematica’s expanding global footprint provides its partners with an unparalleled combination of regional and local expertise and the backing of a deep bench of experts committed to helping them make a difference. ‘As an organization committed to driving global impact, our International Unit is critical to our mission to improve well-being around the world,’ said president and chief executive officer Paul Decker. ‘Jeff’s focus on partnerships, analytics, and innovation, combined with his passion for advancing global health equity, will help us grow our work and its impact with new clients and in new areas.’ Bernson brings critical experience and demonstrated success in technology development, commercialization, and market innovation, having most recently been chief programs and innovation officer at PATH. During his time at PATH, he also served in a variety of roles including vice president of technology, analytics, and market innovation, and as a senior director working in its Nairobi, Kenya office. ‘Mathematica’s comprehensive intersectoral approach, coupled with its ability to help translate evidence into impactful policies and actions, makes a meaningful difference in the lives of people around the world,’ said Jeff Bernson. ‘I am looking forward to helping the team drive positive change.’
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Deen Freelon, Ph.D.
Deen Freelon is an Associate Professor at the UNC Hussman School of Journalism and Media at the University of North Carolina and a principal researcher at the Center for Information, Technology, and Public Life (CITAP). His theoretical interests address how ordinary citizens use social media and other digital communication technologies for political purposes, paying particular attention to how identity characteristics (e.g. race, gender, ideology) influence these uses. Methodologically, he is interested in how computational research techniques can be used to answer some of the most fundamental questions of communication science. Freelon has worked at the forefront of political communication and computational social science for over a decade, coauthoring some of the first communication studies to apply computational methods to social media data. Computer programming lies at the heart of his research practice, which generates novel tools (and sometimes methods) to answer questions existing approaches cannot address. He developed his first research tool, ReCal, as part of his master’s thesis, and it has since been used by tens of thousands of researchers worldwide. His scholarship has been financially supported by grantmakers including the U.S. Institute of Peace, the Spencer Foundation, the Knight Foundation, and the Hewlett Foundation; and published in top-tier journals including Nature, Science, and the Proceedings of the National Academy of Sciences. Freelon earned his Ph.D. from the University of Washington in 2012 and formerly taught at American University in Washington, D.C.
Image of Desmond U. Patton, Ph.D.
Desmond U. Patton, Ph.D.
Desmond Upton Patton studies the impact social media has on well-being, mental health, trauma, violence and grief for youth and adults of color. He leverages social work thinking, data science, qualitative methods, and community partnerships to develop strategies to support digital grief and trauma and reduce on and offline gun-related violence. Desmond Upton Patton is the Brian and Randi Schwartz University Professor and the thirty-first Penn Integrates Knowledge University Professor. He has joint appointments in the School of Social Policy & Practice and the Annenberg School for Communication along with a secondary appointment in the department of psychiatry in the Perelman School of Medicine.
Image of Imani N. S. Munyaka, Ph.D.
Imani N. S. Munyaka, Ph.D.
Dr. Munyaka earned her B.S. in Electrical Engineering from the University of Dayton and an M.S. in Computer Science from Kentucky State University. She earned a Ph.D. in Human-Centered Computing from the University of Florida where she conducted research as a member of the Human-Experience Research lab and Florida Institute for Cybersecurity. She is currently an Assistant Professor at the University of California, San Diego in the Computer Science and Engineering department. Her research intertwines security, privacy, and computer interaction with a general goal of equity in experiences and outcomes for marginalized identities.
Image of Iya Funlayo E. Wood, Ph.D.
Iya Funlayo E. Wood, Ph.D.
Iya Funlayo earned her PhD in African and African American Studies and Religion at Harvard University and her research centers philosophical and theological aspects of Ifá-Òrìsà tradition as practiced in Nigeria and in the Americas, and cross-cultural analysis of Yoruba religious concepts and practice – within all of which she privileges Yoruba language as a conduit to understanding. Her work has been published in various scholarly and public venues and she has appeared in documentaries for PBS and the National Geographic Channel. Spirit permeates both her scholarship and her service, and she founded Ase Ire in 2010 as a place to share her spiritual gifts and the things she has learned from her teachers with the world, especially with those new to African Spirituality.
Image of Ifeoma Ajunwa, J.D., Ph.D.
Ifeoma Ajunwa, J.D., Ph.D.
Professor Ifeoma Ajunwa, J.D., Ph.D., is an award-winning tenured law professor and author of the highly acclaimed book, The Quantified Worker, published by Cambridge University Press. At Emory, she is the AI.Humanity Professor of Law and Ethics and Founding Director of the AI and the Law Program. She is also the Associate Dean for Projects and Partnerships at Emory Law (starting January 2024). Professor Ajunwa was recruited from the University of North Carolina School of Law where she was a tenured law professor and the Founding Director of the Artificial Intelligence Decision-Making Research (AI-DR) Program at UNC Law. Professor Ajunwa is currently a Visiting Fellow at Yale Law School’s Information Society Project (ISP). She has been a Faculty Associate at the Berkman Klein Center at Harvard University since 2017. She was a 2019 recipient of the NSF CAREER Award and a 2018 recipient of the Derrick A. Bell Award from the Association of American Law Schools (AALS). Dr. Ajunwa’s research interests are at the intersection of law and technology with a particular focus on the ethical governance, privacy, and discrimination issues associated with workplace AI and automated decision-making technologies. She also has an interest in the generative power of art for law with a focus on law and literature and law and film.
Image of Lindsey D. Cameron, Ph.D.
Lindsey D. Cameron, Ph.D.
Lindsey D. Cameron is an Assistant Professor of management at the Wharton School, University of Pennsylvania. Her research focuses on how algorithmic management is changing the modern workplace, especially individual’s behaviors at work. Professor Cameron has an on-going, five-year ethnography of the largest employer in the gig economy, the ride-hailing industry, exploring how algorithms are fundamentally reshaping the nature of managerial control. She is currently studying how the COVID-19 pandemic is affecting gig workers on different platforms (e.g., TaskRabbit, Instacart, AmazonFlex) as well as examining how ride-hailing drivers on three continents navigate disputes. Professor Cameron’s work has been published in leading academic journals, including Organization Science, Journal of Applied Psychology, Organizational Behavior and Human Decision Process, Annual Review of Organizational Psychology and Organizational Behavior, and proceedings of the Association of Computing Machinery and the Academy of Management. She has also published opinion pieces in Fast Company, Kiplinger’s, and the Society of Human Resource Management’s flagship magazine People & Strategy and her research has been mentioned in numerous media outlets including Bloomberg, NPR’s Marketplace, Fast Company, the World Economic Forum, CNBC, Forbes, The Skim, and Inc.
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Charlotte Garden, J.D.
Charlotte Garden is a Law professor at the University of Minnesota, and specializes in labor law, employment law, and constitutional law. Her interests include the intersection of workers' rights and the Constitution, and how law supports (or undermines) worker voice and power. Prior to coming to the University of Minnesota, Professor Garden was a professor at Seattle University School of Law where she served as Co-Associate Dean for Research & Faculty Development. In 2016 she was a visiting professor at the University of Alabama School of Law. Professor Garden clerked for Judge Thomas L. Ambro of the U.S. Court of Appeals for the Third Circuit. She received her J.D. from NYU School of Law (2003) and her B.A. from McGill University (2000).
Image of Gabrielle Rejouis, J.D.
Gabrielle Rejouis, J.D.
Gabrielle Rejouis is an advocate for ending surveillance at work at United for Respect and the Athena Coalition. Before joining United for Respect, she managed the federal technology and antitrust lobbying portfolio at Color Of Change. She also worked at the Center on Privacy & Technology at Georgetown Law where she co-organized the Color of Surveillance: Monitoring Poor and Working People conference. Gabrielle received her J.D. from Georgetown Law with a Certificate in Refugee and Humanitarian Emergencies. She earned her B.A. in History from the New Jersey Institute of Technology where she was an Albert Dorman Honors scholar.
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Keith E. Sonderling, J.D.
Keith E. Sonderling was confirmed by the U.S. Senate, with a bipartisan vote, to be a Commissioner on the U.S. Equal Employment Opportunity Commission (EEOC) in 2020. Until January of 2021, he served as the Commission’s Vice-Chair. His term expires July of 2024. Prior to his confirmation to the EEOC, Commissioner Sonderling served as the Acting and Deputy Administrator of the Wage and Hour Division at the U.S. Department of Labor. Before joining the Department of Labor in 2017, Commissioner Sonderling practiced Labor and Employment law in Florida. Commissioner Sonderling also serves as a Professional Lecturer in the Law at The George Washington University Law School, teaching employment discrimination. Since joining the EEOC, one of Commissioner Sonderling’s highest priorities is ensuring that artificial intelligence and workplace technologies are designed and deployed consistent with long-standing civil rights laws. Commissioner Sonderling has published numerous articles on the benefits and potential harms of using artificial intelligence-based technology in the workplace and speaks globally on these emerging issues.
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Howard University
Howard University has long held a commitment to the study of disadvantaged persons in American society and throughout the world. The goal is the elimination of inequities related to race, color, social, economic and political circumstances. As the only truly comprehensive predominantly Black university, Howard is one of the major engineers of change in our society. Through its traditional and cutting-edge academic programs, the University seeks to improve the circumstances of all people in the search for peace and justice on earth.
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Mathematica
Mathematica is the insight partner that illuminates the path to progress for public- and private-sector changemakers. We apply expertise at the intersection of data, methods, policy, and practice, translating big questions into deep insights that weather the toughest tests. Driven by our mission to improve public well-being, we collaborate closely with our clients to improve programs, refine strategies, and enhance understanding.
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SICSS-Howard/Mathematica
The Summer Institutes in Computational Social Science (SICSS) were created to provide free training to the next generation of researchers at the intersection of social science and data science— and to incubate cutting-edge research across disciplinary boundaries. Participants at each institute a) hear lectures by leading scholars in the field on a range of subjects from automated text analysis to experiments on social media platforms; b) participate in group training exercises; and c) launch interdisciplinary research projects. SICSS thus aims to provide open, high-quality training in computational social science to researchers around the world in order to accelerate the growth of the field and ensure that it develops practices that are in the long-term interests of science and society. Lectures are live-streamed to all SICSS sites from a central location and supported via a vibrant online community that includes open-source education materials that can be used for further self-study or as a model for computational social science courses within other organizations.
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D-Lab
D-Lab 1) helps Berkeley graduate students, faculty, and staff move forward with world-class research in data intensive social science and humanities; 2) assists the Berkeley community with the full range of research development, research design and data acquisition. We offer guidance in statistical methods and results to data visualization and communication; 3) creates a learning community that teaches workshops and offers consultations.
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Deloitte Center for Health Solutions & the Deloitte Health Equity Institute
The mission of the Deloitte Health Equity Institute is advancing health equity to make an impact that matters. To do it, we’re creating cross-sector collaborations and tools aimed at addressing disparities in the drivers of health, racism and bias, and structural flaws in the health system. Our goal is to create exponential change that will lead to a world in which health isn't determined by race, gender, ability status, or zip code. One in which all people have the fair and just opportunity to achieve their full potential in every aspect of their health and well-being.
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Federal Reserve Board of Governors
The Federal Reserve System is the central bank of the United States. It performs five general functions to promote the effective operation of the U.S. economy and, more generally, the public interest.
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Los Alamos National Laboratory
The Los Alamos National Laboratory‘s mission is to solve national security challenges through simultaneous excellence. LANL achieves maximum impact on strategic national security priorities by integrating research and development solutions with operational excellence and community engagement.
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Polarization Lab
The Polarization Lab at Duke brings together scholars from the social sciences, statistics, and computer science to study how to bridge America’s partisan divide. Our mission is two-fold. First, we aim to produce the highest quality research about how social media shapes political polarization, drawing upon the latest advances in social psychology, political science, and machine learning. Second, we aim to translate the insights from our research into tools that people can use to hack political polarization from the bottom up. We work closely with other groups working to counter political polarization in the non-profit sector, private sector, and governments. Some of our work has shaped products created by social media companies.
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The Data Nutrition Project
Our belief is that deeper transparency into dataset health can lead to better data decisions, which in turn lead to better AI. Founded in 2018 through the Assembly Fellowship, The Data Nutrition Project takes inspiration from nutritional labels on food, aiming to build labels that highlight the key ingredients in a dataset such as meta-data and populations, as well as unique or anomalous features regarding distributions, missing data, and comparisons to other ‘ground truth’ datasets.
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vary CSS
Computational Social Science is an exciting new field of research, and we think it should be diverse and inclusive as it grows. To this end, we provide links to resources, which are intended to support new and emerging CSS scholars currently underrepresented in the field. We also maintain a database of these scholars, which can be used for collaboration and networking, or for finding new voices to speak at conferences, on panels, and in workshop tutorials. These resources are compiled and updated by the CSS community.
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Neena Albarus
Neena Albarus is a Ph.D. student in Social Welfare at the University of California, Berkeley. She has an MSW from The University of the West Indies, Mona, Jamaica. Her research expertise spans quantitative, qualitative, and participatory methods, with a focus on polydrug use, mental health, and citizen security in Jamaica.
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Mango Jane Angar
Mango Jane Angar is a Political Science Ph.D. student at the University of California, Berkeley. Her research focuses on Political Violence and Disability Politics. In particular, she examines how state institutions, society, and disabled persons organizations conceptualize and define disability.
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James Asare
James Asare is a Ph.D. student in Mathematics and Science Education at Washington State University. His background in pure, applied, and computational mathematics fuels his research interests in CSS, gerrymandering of school districts, post-secondary math education barriers of under-served communities, and the cultural impacts of international graduate TA experiences.
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Ayana Best
Ayana Best is an Assistant Professor in the Department of Political Science at Howard University. She earned her Ph.D. in Political Science and International Relations at the University of Southern California. Her forthcoming book focuses on the effects of state-sanctioned violence on Black women’s political participation and civic engagement.
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Rohitha Edara
Rohitha Edara is a Ph.D. candidate in Education Policy at Pennsylvania State University. She is interested in studying issues at the intersection of education policy, inequalities/segregation, and international development.
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Dereje Ferede
Dereje Ferede played a role as Lecturer, Project Coordinator, and IT Specialist. His background is Information Systems. Currently, he is a Ph.D. student in Information Systems at Addis Ababa University. He has one publication and one work-in-progress paper. His research interests are AI, IS Security, Digital Strategy, Computational Sciences, and FinTech.
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Joyonna Gamble-George
Joyonna Gamble-George is a postdoctoral fellow in the Behavioral Sciences Training Program at New York University. Her research interests are computational methods that can monitor, predict, and prevent biopsychosocial factors, including social connectedness or exclusion, that contribute to substance misuse, mental health problems, and health risk behaviors in adolescents and adults.
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Beth Head
Beth Head is currently a Sociology Ph.D. student at the University of Florida, where she studies measurement as a form of social and epistemic power.
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Kevin Igwe
Kevin Igwe is a Post-Doctoral Research Fellow at the University of Johannesburg, South Africa. He is involved in data strategy implementations at CLEVVA PTY LTD. With a Master's degree in Computer Science and a Ph.D. in Psychology, his research focuses on leveraging AI to promote prosocial behavior and mental health.
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Rebekah Jones
Rebekah Jones is a Political Science Ph.D. candidate at UC Berkeley. Rebekah’s work examines the political economy of crime policy. Specifically, how configurations of American political institutions shape how vulnerable populations experience our democracy. Before Berkeley, Rebekah received a B.S. from Cornell University in Development Sociology, with distinction in research.
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Joel Martinez
Joel E. Martinez is a postdoctoral fellow at Harvard’s Data Science Initiative and Department of Psychology. Their research investigates how data-driven methods help us measure collective and idiosyncratic understandings of contemporary topics within race/ism, sexuality, and migration discourses.
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Jia Pang
Jia Pang is a Ph.D. student at Claremont Graduate University, pursuing research in the field of education. Her research interests encompass a broad range of topics, including social media's impact on students' learning, the analysis of large-scale assessment data in education, and the growing phenomenon of shadow education.
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Jackeline Romio
Jackeline Aparecida Ferreira Romio is Programme Specialist in UNFPA LACRO. She holds a post-doctoral degree in social psychology (USP), and a doctorate and a master's degree in demography (UNICAMP).
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Mateo Servent
Mateo Servent is a political scientist and a master's student at CIDE. He is interested in CSS methods for experimental research and the study of scientific knowledge production from a comparative perspective. He is the founder of a student journal and an Erasmus+ Scholar at Otto Suhr Institute.
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Rasheed Shabazz
Rasheed Shabazz is a journalist, urban planner, and historian. He is currently the inaugural Black Muslim Experiences Research Fellow at the Institute for Social Policy and Understanding. Shabazz' research is on the Black Press, Black masjids, neighborhood change, and the intersections of race, religion, and housing outcomes.
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Kevin Smith
Kevin Smith is an Assistant Professor at Beloit College. He teaches a wide range of courses in the Economics and Business Department, including Principles of Economics, Quantitative Methods, Econometrics, Corporate Finance, and Health Economics. His research focuses on Health Economics, with a secondary focus on Financial Economics, and Economic History.
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Brittany Torrez
Brittany Torrez is a postdoctoral fellow at University of Southern California Marshall School of Business. She employs multiple methodologies to further the study of diversity, equity, and inclusion in organizations. Her current research examines the psychological processes and organizational practices that reproduce racial inequality in the workplace.
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Jia Wu
Jia Rung Wu, Ph.D. is an Assistant Professor of Rehabilitation Counseling Program in the Department of Counselor Education of Northeastern Illinois University. Her programmatic research includes: Minority Students Success and Mental Health, Health Promotion, and Positive Psychology, Evidence-Based Rehabilitation Practice, and Test Construction and Research Methodology.
Image of Naniette H. Coleman
Naniette H. Coleman
Naniette H. Coleman is a Ph.D. candidate in Sociology at the University of California, Berkeley and a multi-year UC-National Laboratory Graduate Fellow (Los Alamos). She is the only social scientist selected for this distinction in the history of the program. Since 2016, Naniette has directed the AAC&U award winning Interdisciplinary Research Group on Privacy (Coleman Research Lab) at Berkeley. Naniette is an affiliate of the Institute for the Study of Societal Issues, the Center for Long-term Cybersecurity, and the Center for Technology, Society, and Policy at Berkeley as well as the Belfer Center for Science and International Affairs, and Berkman-Klein Center for the Internet and Society at Harvard University. Naniette’s work sits at the intersection of the sociology of culture and organizations and focuses on cybersecurity, surveillance, and privacy in the US context. Specifically, Naniette’s research examines how organizations assess risk, make decisions, and respond to data breaches and organizational compliance with state, federal, and international privacy laws. Naniette holds a Master of Public Administration with a specialization in Democracy, Politics, and Institutions from the Harvard Kennedy School of Government, and both an M.A. in Economics and a B.A. in Communication from the University at Buffalo, SUNY. A non-traditional student, Naniette’s prior professional experience includes local, state, and federal service, as well as work for two international organizations, and two universities.
Image of Akira Bell
Akira Bell
Akira Bell is Mathematica’s Senior Vice President and Chief Information Officer. She oversees technology infrastructure and governance and leads strategy for delivering innovation in support of client and internal business function needs. Before joining Mathematica in 2018, Bell led the IT function for Aramark’s higher education business unit. Previously, she served as a divisional Chief Information Officer within the Hess Corporation and held various program management, application development, and technology consulting roles with UnitedHealth, IBM Global Services, and PricewaterhouseCoopers. While at Hess, she guided IT strategy during the acquisition of its retail division by Marathon Speedway and was part of the team recognized by CIO magazine with a CIO100 Award for delivering innovative IT solutions during Hurricane Sandy recovery. Bell earned a B.S.E. in Operations Research from Princeton University, where she serves as an alumni mentor for women in Science, Technology, Engineering, and Mathematics.
Image of Calvin Hadley, Ph.D.
Calvin Hadley, Ph.D.
Calvin J. Hadley serves as the Senior Advisor for Strategic Initiatives in the Office of the President at Howard University. Hadley works to broker strategic partnerships that advance the University's mission: Truth and Service. Since joining Howard in 2014, he's negotiated numerous partnerships along several student programs. The most notable of these include: Howard's partnership with Google and Amazon Studios to create the Howard West Campus in Silicon Valley and the Howard Entertainment Campus in Hollywood, a partnership with the District of Columbia Public Schools which led to the creation of a dual-enrollment program that allows high school juniors and seniors to earn college credit at Howard University, and a lecture series with Congressman Elijah Cummings, former Director of the FBI James Comey, former Mayor of Washington, D.C. Vincent Gray, and others.

IAS

All Participants


Image of Jacob Habinek
Jacob Habinek
Jacob Habinek is an associate professor at the Institute for Analytical Sociology and director of the Swedish Interdisciplinary Research School in Computational Social Science. A computational and economic sociologist by training, his interests include the sociology of markets, science, and culture. His empirical research centers on the development of scientific disciplines, the dynamics of financial markets, and the selection of Nobel Prize laureates.
Image of Carl Nordlund
Carl Nordlund
Carl Nordlund is an associate professor (docent) at the Institute for Analytical Sociology at Linköping University. Obtaining a PhD in human ecology from Lund University in 2010, this was followed by fellowships in Budapest, Florence, and Lund, before starting at IAS in 2018. His substantive interests is in inter-ethnic family formation and labor market structures, economic globalization, as well as the development of network-analytical methods, particularly deterministic blockmodeling methods.
Image of Anastasia Menshikova
Anastasia Menshikova
Anastasia Menshikova is a PhD student at the Institute for Analytical Sociology in Norrköping, Sweden. Her research focuses on discovering and explaining inequalities, biases, and discriminatory practices using textual digital traces. Besides that, she is interested in social and cultural change - how changes in individual opinions, beliefs and meanings lead to shifts at a collective level. She is generally curious about using computational text analysis to answer sociological questions.
Image of Elis Carlberg Larsson
Elis Carlberg Larsson
Elis Carlberg Larsson is a PhD student at the Institute for Analytical Sociology. In his research, he utilizes computational techniques, such as text analysis, agent-based modeling, and machine learning to analyze large-scale datasets, including Swedish register data and newspaper data. The aim of these analyses is to investigate various social mechanisms that operate in social systems.
Image of Hendrik Erz
Hendrik Erz
Hendrik Erz is a PhD student at the Institute for Analytical Sociology. With a background in history, political science, and sociology, he specializes in the policymaking process in the U.S. Congress. Methodologically, he focuses on the use of large language models (LLMs) for text analysis. He is also interested in the ethics and political implications of artificial intelligence more broadly.
Image of Alexandra Rottenkolber
Alexandra Rottenkolber
Alexandra is a PhD Student in Analytical Sociology at the Institute for Analytical Sociology, Linköping University, Sweden. In her past work, she has used a variety of methodological approaches — ranging from natural language processing to network analysis — to study attention dynamics in parliaments, the digital development of nations, as well as gender segregation in the STEM disciplines. In her PhD, she plans to extend and build on this existing work.
Image of Maël Lecoursonnais
Maël Lecoursonnais
Maël Lecoursonnais is a PhD student at the Institute for Analytical Sociology. His research interests span spatial inequalities, causal inference, and applied machine learning. His current project investigates the consequences of spatial inequalities on life-course outcomes such as education or income, using causally-oriented methods and/or machine learning algorithms.
Image of Carly Knight
Carly Knight
Carly Knight is an Assistant Professor of Sociology at New York University. She is a cultural and economic sociologist who uses quantitative methods, including computational methods, to study changing cultural schemas around market behavior. Her primary research focuses on how both regulators and lay audiences talk about abstract market actors, like corporations, and how the metaphors they use influence their opinions about corporate regulation.
Image of Hui Sun
Hui Sun
Hui Sun is an assistant professor in the House of Innovation at Stockholm School of Economics. Her work combines experiments, natural language processing and computational simulations to study the role of cognition in network mobilization, organizational design, and meaning making in entrepreneurship.
Image of Andrea Voyer
Andrea Voyer
Andrea Voyer is an Associate Professor of Sociology at Stockholm University. In her current research, she uses computational methods of text analysis to study social inclusion and exclusion on the basis of immigration, ethnicity, race, and class. Her research analyzing etiquette books, funded by the US National Science Foundation, has been published in Sociological Methods and Research and Poetics.
Image of Adel Daoud
Adel Daoud
Adel Daoud is Senior Associate Professor at Institute for Analytical Sociology, Linköping University, and Affiliated Associate Professor in Data Science and Artificial Intelligence for the Social Sciences, Department of Computer Science and Engineering, Chalmers University of Technology, Sweden. Previously he held positions at Harvard University, University of Cambridge, and the Alan Turing Institute. Between September 2023 and June 2024, he will be a Fellow of the Center for Advanced Study in the Behavioral Sciences (CASBS) at Stanford University. His researh has both a social-scientific and methodologically orientation. For the social sciences, he researches the effect of international development interventions (e.g., anti-poverty policies) on global poverty, but also the impact of sudden shocks (e.g., economic, political, and natural disasters). Daoud implements novel methodologies in machine learning and causal inference to analyze the causes and consequences of poverty. Daoud leads The AI and Global Development Lab (more information at global-lab.ai) and also the creator of a new podcast called the Journeys of Scholars (available on YouTube and Spotify).
Image of Martin Arvidsson
Martin Arvidsson
Martin Arvidsson is a postdoctoral researcher at the institute for analytical sociology, Linköping University. He uses computational methods and large-scale data to investigate how individuals come to influence one another, and how individuals in interaction bring about different collective outcomes, such as segregation and inequality.
Image of Jeongho	Choi
Jeongho Choi
Jeongho Choi is pursuing a Ph.D. in Political science from the University of Iowa, USA. He received BA and MA in Political Science from Kyung Hee University, South Korea. His research interests include comparative politics and political methodology, with particular focuses on populism, public opinion, text analysis, and machine learning.
Image of Christina	Cano
Christina Cano
Christina is a Ph.D. student in Sociology and Fellow with the Center of Race, Indigeneity, and Transnational Migration at Yale interested in racial capitalism, critical geography, settler colonialism, political economy, and mixed methods. Their research examines how states define, police, and prisonize communities through mapping, technology, and infrastructure.
Image of Zhuojun	Gu
Zhuojun Gu
Zhuojun Gu is a PhD student at the Department of Psychology at Lund University in Sweden. His interest is in the intersection between computational psychology and clinical psychology, especially depression and anxiety. His current research focuses on using computational methods, e.g., large language models, to investigate human-centered, clinically aligned psychometric research. His work is trying to extend the horizons of more accurate diagnosis of mental disorders as well as precise treatment prediction for mental health.
Image of Maarja Vollmer
Maarja Vollmer
Maarja is a doctoral researcher at University of Neuchâtel (Switzerland) within a project on narratives of crisis and their influence on migration policies. Her background is in sociology and migration studies. Her research interests include migration governance, migration policy formation, securitisation of migration, citizenship, and text-as-data methods.
Image of Marcel Kappes
Marcel Kappes
Marcel Kappes is PhD student at the Graduate School of Economic and Social Sciences at the University of Mannheim. In his empirical research, he uses quantitative-, network-, and computational methods to investigate the consequences of issue changes in social movement organizations and immigrants’ job careers in the German labor market.
Image of Axel Norgren
Axel Norgren
PhD student in Economics at Linköping University. An interdisciplinary social scientist that has an interest in quantitative methods from analytical sociology as well as other fields. My research revolves broadly around education and more specifically around school choice, the effectiveness of accountability systems, turnaround schools etc.
Image of Steven Bao
Steven Bao
Steven Bao is a doctoral student in Sociology at the Ohio State University. His research interests lies in the broader area of sociology of work, social movement, and political sociology. His current projects include the relationship between state response and social movements, new forms of labor organizing and precarious work in contemporary society. Methodologically, he is interested in combining qualitiative methods with computational techniques.
Image of Gong Zhang
Gong Zhang
My name is Gong Zhang, a PhD student at the Faculty of Architecture and Built Environment, TU Delft. I have been focusing on using computational technologies in the field of the built environment and social science, such as urban morphology, human well-being, and heritage sustainable development.
Image of Susanne	Böller
Susanne Böller
Susanne Böller is a PhD student in sociology at the University of Bonn. Her research examines the emergence of social and symbolic boundaries among adolescents. As part of the Emmy Noether group "Sorting Decisions and Peer Processes in Schools" (SPINS) she analyses how school principals' decisions regarding classroom placements affect peer relations at secondary schools.
Image of Julia	Gottstein
Julia Gottstein
Julia Gottstein is a doctoral student at the Faculty of Social Sciences, Charles University. Her dissertation project explores dark participation and the perception of its moderation in Czech media. She uses computational methods to examine mediated interactions in the social media comments section of news media outlets.
Image of Regan	Smock
Regan Smock
Regan Smock is a graduate student at the University of Iowa, interested in social psychology and culture.
Image of Matias Piqueras
Matias Piqueras
Matias is a PhD student in Computer Science at Uppsala University, where he is part of the InfoLab as well as the CHANSE funded PolarVis project. He has a background in Political Science and is interested in the development of computational methods for studying visual political communication.
Image of Bea Treena Macasaet
Bea Treena Macasaet
Bea is a PhD student in social sciences at the University of Luxembourg. Positioned within the science of science, her dissertation aims to investigate, via computational and network methods, information flow across disciplinary boundaries on the level of researchers and organizations. She also has research experience in scientific migration, productivity, and policy within the contexts of Taiwan and Indonesia.
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Cristóbal Moya
Cristóbal Moya is a researcher at the Chair of Social Inequality and Social Structure Analysis at Bielefeld University and a doctoral candidate in the Bielefeld Graduate School in History and Sociology. His current research focuses on social inequalities, work, and empirical justice.
Image of Mario Morales
Mario Morales
Mario, a Health Behavior Health Promotion PhD student at the University of Arizona (UA), conducts mixed-methods research on dating violence and substance use prevention. He also applies computational techniques to study Latin Urban Music popularity, leveraging his training in anthropology (UDLAP), demography (COLMEX), and political science (UA).
Image of Sourabh Balgi
Sourabh Balgi
Sourabh Balgi is a PhD student in Statistics and Machine Learning division at the department of Computer and Information Science, Linkoping University. His research interests lies in causality and counterfactual inference using machine learning/deep learning generative models, with applications related to the Swedish Population Registry and other social and medical sciences applications. He holds a B.E. in Electronic and Communication Engineering and M.Tech. in Artificial Intelligence from Indian Institute of Science (IISc). He has 3 years of work experience as a Software Engineer at Mercedes Benz RD India (Daimler) and 1 year of experience as a Research Associate at the department of Computer Science and Automation, IISc.
Image of Matthias Kuppler
Matthias Kuppler
Matthias Kuppler is a PhD student in sociology at the University of Siegen, Germany. His research combines network analysis and agent-based modeling to explain the emergence of status hierarchies in social fields. In his current work, he examines the formation of inequalities in the global literary field.
Image of Anjali Yadav
Anjali Yadav
Anjali is a doctoral student at the Indian Institute of Technology Kanpur. Her research focuses on the intersection of social norms, pro-environmental behaviors and public policy. She uses mixed-method analysis to study the coupling between common pool resources and social norms. She is interested in applying and integrating techniques from social network analysis and text analysis to generate new insights into longstanding issues of water pollution in the Ganga river. She received master's in environmental studies from the University of Delhi in 2020.
Image of Emelie Karlsson
Emelie Karlsson
Emelie Karlsson is a PhD student in political science at Uppsala University. She is a part of a research project focusing on "AI and political communication", and her dissertation project focuses on coordinated inauthentic behavior and information campaigns on social media platforms and their social and political implications using mixed methods - including experimental and computational approaches.
Image of Nathaniel Darling
Nathaniel Darling
Nathaniel Darling is currently completing an MSc in Economic History at LSE, and will start a PhD in October 2023. Before starting this MSc Nathaniel worked as a secondary school teacher in London.
Image of Diletta Goglia
Diletta Goglia
Diletta Goglia is a doctoral student in Network Science at the Information Technology Department of Uppsala University. Her work in the "Uppsala University Information Laboratory research group" (UU-InfoLab) focuses on developing computational methods to model and explain social behavior of people in online communication. Her current project is analyzing users’ roles in conversational data from Online Social Networks, aiming at identifying, modelling and understanding actors’ behavioral patterns in online discussions, by combining structural properties of graphs with social theories. Previously, she collaborated with the “HumMingBird - Horizon 2020 EU” project, working on Machine Learning and Big Data Science to study and predict cross-border human migration using Social Big Data from Facebook. She holds a MSc in Artificial Intelligence and a BSc in Digital Humanities, from University of Pisa. Her education in Computer Science, background in humanities and expertise in sociology delineate the profile of a multidisciplinary researcher.
Image of Asmaa Abdelkhalek
Asmaa Abdelkhalek
Asmaa Abdelkhalek is a PhD student and a research Assistant at the Department of Political Science Cairo University in Egypt. She is also a researcher atInterRegional for Strategic Analysis - MIR in Abu Dhabi, United Arab Emirates. Her research interests focus on the integration of quantitative and qualitative research in political science, with a particular focus on the intersection between international relations and public opinion. As part of a research team at Cairo University, she is currently working on a project that examines the impact of misinformation and fake news, with a particular emphasis on the integration of machine learning applications to study these topics.
Image of Sophie Mainz
Sophie Mainz
Sophie is a doctoral candidate at the Department of Government at Uppsala University, Sweden. She researches the consequences of femonationalism and selective preference formation both in digital communication environments and offline. This entails citizens’ responses to political messages that mix liberal and illiberal values, such as gender politics with populist ideas. In her dissertation work, she combines experiments and computational social science methods. As a founder of the PolMethods group at her department and as a teacher, Sophie is keenly interested in the advancement of computational methods both for research and as a teaching subject.

IPATC

All Participants


Image of malebo sephodi
malebo sephodi
malebo sephodi (she/they) is a South African Feminist writer and interdisciplinary scholar. She is a non-resident fellow at IPATC, University of Johannesburg and a doctoral candidate in the Information Systems Department at the University of Cape Town. She is interested in the intersections of society and digital technology.
Image of Odilile Ayodele
Odilile Ayodele
Dr Odilile Ayodele is a Senior Researcher at the Institute for Pan-African Thought and Conversation (IPATC). She holds a D.Litt. et Phil in Political Studies at the University of Johannesburg (UJ), and obtained her BA, BA (Hons), an MA in International Relations from the University of the Witwatersrand in South Africa. She completed a Postdoctoral Research Fellowship at the South African Research Chair: African Diplomacy and Foreign Policy at UJ. Odilile is currently the convenor of the South African Association of Political Studies (SAAPS) research committee on international relations and diplomacy, an associate editor and book review editor of the Journal of BRICS Studies, as well as the book review editor of the African Journal of Political Science. Her current research projects centre on Global Technopolitics including, the international relations of technology, and digital diplomacy in Africa.
Image of Simona Simona
Simona Simona
Dr. Simona Simona is a lecturer in the Department of Social Work and Sociology and Assistant Dean of the School of Humanities and Social Sciences at the University of Zambia. He is also a non-resident fellow at the Institute for Pan-African Thought and Conversation (IPATC), University of Johannesburg. He holds a PhD in Sociology and Quantitative Social Science Methods, and a Master of Research (MRes) in Sociology and Research Methods from the University of Glasgow. His research work generally uses advanced quantitative techniques to examine the influence of individual and structural factors on social and health outcomes. He is also interested in teaching quantitative social science methods and data science, including different software packages for data management, visualization, and statistical modelling.
Image of Tendani Mulanga Chimboza
Tendani Mulanga Chimboza
Dr. Tendani Mulanga Chimboza is a Lecturer at the University of Cape Town (UCT). She also serves as the Scientific Engagement Lead for the Cybersecurity Capacity Centre for Southern Africa (C3SA). Tendani conducts research in Social Informatics and Digital Ethics, specifically research on cyberpsychology, digital parenting, digital activism, and ICT policy. She is passionate about investigating aspects of technology use that unintentionally exclude or marginalize certain groups in society. Tendani holds a Doctorate in Information Systems from UCT and a master’s in arts degree from the University of Western Cape. Before joining UCT, Tendani worked as a Communication Specialist at Saratoga - an IT company based in Cape Town.
Image of Vissého Adjiwanou
Vissého Adjiwanou
Vissého Adjiwanou is a professor of Demography and quantitative and computational methods in the Department of Sociology at the Université du Québec à Montréal (UQAM), and adjunct professor at the Department of Demography (Université de Montréal). He directs the Lab on quantitative and computational social science. He is also affiliated with the Centre on Population Dynamics (McGill University). He received an M.A in Statistics from the National School of Statistics and Applied Economics (ENSEA-Cote d’Ivoire), an M.A in Economics of Development at the Centre for Studies and Research on International Development (CERDI- France) and a PhD in Demography from the Université de Montréal (Canada). His research focusses on population issues in sub-Saharan Africa and in Canada, including fertility, family dynamics, gender inequality, reproductive health, and integration of immigrants from SSA in Canada.
Image of Sarah Mulombo Mulaji
Sarah Mulombo Mulaji
Sarah Mulombo Mulaji is a PhD candidate at the University of Cape Town, Department of Information Systems. Sarah is also a Senior Teaching and Research Assistant in the same department since 22020. Sarah's research interests involve information & cybersecurity management and distributed systems, like Blockchain, appplications in organisations and society. Sarah has co-authored some journal articles and conference papers.
Image of Anthony Kaziboni
Anthony Kaziboni
Dr Anthony Kaziboni is Head of Research at the Institute for the Future of Knowledge. He holds a doctorate in Sociology from the University of Johannesburg, South Africa. He researches hydropolitics, migration and social inequalities. He is the Regional Representative for South Africa for the International Sociological Association's (ISA) Clinical Sociology Research Group. In 2018 he received the prestigious Outstanding Early Career Award in Clinical Sociology by the ISA's Clinical Sociology Research Committee in Toronto, Canada. He has [co]authored publications in accredited journals and books as well as newspaper articles.
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Vukosi Marivate
Prof. Vukosi Marivate is the ABSA UP Chair of Data Science at the University of Pretoria. He is an Associate Professor of Computer Science. Vukosi works on developing Machine Learning/Artificial Intelligence methods to extract insights from data. A large part of his work over the last few years has been in the intersection of Machine Learning and Natural Language Processing. Vukosi's work in this area focuses on techniques to improve tools for and availability of data for local languages or low resource languages. Vukosi is a co-founder of Deep Learning Indaba (https://deeplearningindaba.com/). He currently serves as a chief investigator on the Masakhane NLP project (https://www.masakhane.io/) and on the steering committee of the Lacuna Fund (https://lacunafund.org/). As part of his vision for Data Science, Vukosi is interested in Data Science for Social Impact (https://dsfsi.github.io/), using local challenges as a springboard for research. In this area, Vukosi has worked on projects in science, energy, public safety and utilities. Vukosi is a co-founder of the Deep Learning Indaba, the largest Machine Learning/Artificial Intelligence workshop on the African continent, aiming to strengthen African Machine Learning.
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Sisanda Nkoala
Dr Sisanda Nkoala is an award-winning academic interested in South African media and rhetoric. She is employed as a senior lecturer in the Media Department at the Cape Peninsula University of Technology and the Language and Transformation coordinator for the Faculty of Informatics and Design at the institution. She is also a leader in the South African journalism sector, serving as a public representative on the South African Press Council, a South African National Editors Forum member, and a member of the appeals tribunal of the Film and Publications Board. Before joining academia, she was a journalist and won an award for her work on missing children and the 2015/2016 #RhodesMustFall protests.
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Emmanuel Olamijuwon

Emmanuel Olamijuwon is a Lecturer in the School of Geography and Sustainable Development at the University of St Andrews, UK. His research interest lies at the intersection of technology, sexuality, & population health in low-and-middle-income countries. His recent projects (SouthScieX, FaMeLynk, SHYad.NET) combine data from traditional data sources (such as the DHS), with digital traces (Facebook and Twitter) and Online surveys to illuminate the complexity of a number of social and health issues such as knowledge inequality, suicide ideation, as well as sexual and reproductive health.

Image of Zintathu Mazamane
Zintathu Mazamane
Zintathu is an experienced professional with a strong background in research, management consulting, policy and strategy development. Currently, she is in the process of completing a Master of Urban Studies in Urban Management from the University of the Witwatersrand. Due her strong passion for promoting women’s advancement into leadership positions, she has dedicated her master’s research to Examining Tactics that Women in Management Positions Employ to Navigate Institutional Culture while Promoting Development. This research was inspired by the prevalent institutional culture that subjects women to many forms of systemic forms of discrimination, which prevents their ascension into decision making roles and positions of influence. As an aspiring leader and expert in her field, Zintathu has worked as a research lead and development consultant in diverse economic sectors, providing valuable insights to stakeholders such as government, private sector and Non-Government Organisations (NGOs). This informs her well-rounded approach in managing projects, conducting research, and analysing complex data into valuable insights. In 2020, Zintathu started her own consulting firm that provides advisory services to through market research, and she has been operating independently for almost three years now. Her major achievements in entrepreneurship thus far include being accepted into a Business Acceleration Programme in 2023 and breaking out into international markets by landing an American NGO as a client.
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Samson Faboye
Samson Faboye is a doctoral candidate at the Urban and Regional Planning Department, University of Johannesburg, South Africa. He holds a Bachelor's and Master’s Degrees in Architecture from the Federal University of Technology, Akure, Nigeria and a Master of Urban Studies (With a Speciality in urban Politics and Governance) Degree from the University of the Witwatersrand, Johannesburg, South Africa. His ongoing doctoral research explores the future of traditional governance systems in response to expanding urbanisation in North West and KwaZulu Natal Provinces of South Africa. His research interests revolve around Architectural Heritage Conservation, Development and Urban Policy. Samson was one of the participant at the 2022 Summer School in Computational Social Science (SICSS) hosted by the Johannesburg Institute for Advanced Study (JIAS) and Institute for PanAfrican Thought and Conversations (IPATC). He is also a recipient of the 2022/2023 Adam Smith Fellowship from the Mercatus Center of the George Mason University, USA and an 2022/2023 inaugural Edgeland Institute Fellow on the impact digitalisation on Urban Security.
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Nompumelelo Ndawonde
Ms. Nompumelelo Ndawonde is a Researcher at the Institute for Pan-African Thought and Conversation (IPATC). She is currently a PhD student at the University of Cape Town (UCT) in South Africa. She obtained a Masters of Political Science, a Bachelor of Social Science (Honours) in International Relations (cum laude), and a Bachelor of Arts in International Studies (cum laude), all from the University of KwaZulu-Natal (UKZN) in South Africa. Ms. Ndawonde was awarded academic exchange scholarships for studies at the University of Calgary in Canada, and the University of Uppsala in Sweden. Her key research interests include regional organisations, trade, and development.
Image of Aubrey Mpungose
Aubrey Mpungose
Aubrey Mpungose is a PhD student at the University of KwaZulu Natal. He is interested in social/political theory, political participation, neighbourhood contexts and behaviour/outcomes, and the broader field of political economy.
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Shaka Bob
Authors Biography Shaka Keny Bob Shaka is an Institute of French Research in South Africa (IFAS-South Africa) 2021, research fellow and is also a PhD candidate in the Department of Sociology at Stellenbosch University. Previously, Shaka has served as a sessional lecturer in the Department of Sociology at the University of Witwatersrand and has also served as a research consultant for the Women in Informal Employment Globalising and Organising (WIEGO) and DataFirst at the University of Cape Town. His research interests include social policy, informal work, gender studies and the ongoing changes to labour markets in the developing South context. Shaka holds a Masterof Arts in Social Policy and Labour Studies which was attained cum laude at Rhodes University in 2018. His doctoral thesis focuses on the ability of informal workers to adapt to COVID-19- related shocks and the case for social protection in the City of Cape Town, South Africa.
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Mmamashilo Herminah Mmako
Mmamashilo Herminah Mmako is a Master's candidate at the University of Pretoria. Herminah is an affiliate and researcher at the University of Pretoria's African Center for the Study of the United States (ACSUS-UP). Her research is focused on geopolitics in specific reference to the United States-China geopolitical contest in the Indo-Pacific and its implications for Africa's regional inclusion. Herminah holds a Bachelor's degree in Political Sciences (cum-laude) and Honours in International Relations (cum-laude) from North-West University.
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Dieu-Donne Fangnon
I'm a master student in machine learning. I'm working on my computer vision and reinforcement learning research projects. Open to work in PhD projects, or internship.
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Kennedy Manduna
Kennedy is a Postdoctoral Research Fellow at the International Research Group on Authoritarianism and Counterstrategies (IRGAC) of the Rosa Luxemburg-Stiftung, hosted by the Wits School of Governance (WSG) at the University of the Witwatersrand, Johannesburg. For the past seven years, I have been a researcher, teaching assistant and lecturer within the WSG and Wits Business School (WBS). He completed his PhD in Political Economy and Public Policy in 2022 at the WSG.
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Makhethe Makamase
Makhethe Makamase is a Doctoral candidate in International Relations at the University of Pretoria (UP), an Assistant Lecturer in the Department of Political Science (at UP) and a Researcher at the Centre for Mediation in Africa (CMA). She has experience in research and administrative work in roles at the Institute for Global Dialogue (IGD) a Think Tank associated with the University of South Africa (UNISA), the CMA, UP, and transcultural work experiences. She is an alumni of the Managing Global Governance (MGG) Academy (2021) by the German Institute of Development and Sustainability (IDOS) and the Federal Ministry of Economic Cooperation and Development (BMZ), a programme aimed at enhancing dialogue and knowledge between the global south and Germany/Europe towards sustainable and effective cooperation.
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Matsidiso Bambo
Matsidiso Bambo is a second year MA in Social and Psychological Research student at the University of the Witwatersrand and a member of the Golden Key International Honour Society. She is also an alumna at the University of Johannesburg.
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Bimbo Fafowora
Bimbo L. Lolade Fafowora is a Postdoctoral Research Fellow at the Department of Journalism and Media Studies, Rhodes University, South Africa. Her doctoral research focuses on the media representation of women in political leadership positions in Nigeria. Before acquiring her doctoral degree, Bimbo had earned her bachelor’s and master’s degree in Communication and Language Arts from the University of Ibadan, Nigeria. Her research interests are Media Construction and Representation, Gender equality, Politics, Music, Culture, Fake News, Media Literacy, and Circular Economy.
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Takaedza Madzikanda
I am a Sociology PhD candidate at the University of Johannesburg - researching digital networking and transnationalism and how these impact identity negotiation processes. I hold an MA in International Relations (University of Bedfordshire) and an LLB - Gov. & Politics (University of Hertfordshire).
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Juliet Nanfuka
Juliet Nanfuka has a background in media and works in the digital rights space on various initiatives aimed at advocating for an internet that is free, fair, and open in Africa. She is interested in the cross paths of social innovation, technology and society.
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Pamella Gysman
Pamella Gysman is a Master's graduate in Women's and Gender Studies at the University of the Western Cape. She is an interdisciplinary scholar and feminist writer. Her research is interested in the intersections of identity, culture and performance as forms of citizenship and belonging.
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Ayantola Alayande
Ayantola Alayande is a Research Assistant in Digitalisation and Public Sector Productivity at the Bennett Institute for Public Policy, University of Cambridge. Prior to Cambridge, he worked as a Research Executive (Quants/Client Services) at Kantar, London office. He holds degrees from the University of Edinburgh and the KDI School of Public Policy.
Image of Liliane Manitchoko
Liliane Manitchoko
Liliane Manitchoko is a demographer and holds a PhD in biostatistics. Having lived and worked in Cameroon as a demographer, Liliane has experience in collecting and analysing demographic and health data, as well as research on the demographic dividend in Africa. As a biostatistician, she has worked on statistical models to take into account temporal variations in drug exposure in order to better assess the risk of adverse effects. To complete her methodological skills, Liliane is currently interested in machine learning methods and pursuing a specialised master's degree in Big Data (management and analysis of massive data) at Télécom Paris.
Image of Tinashe Sithole
Tinashe Sithole
Tinashe Sithole (PhD) is a visiting research fellow at the Politics and International Relations department at the University of Johannesburg. His research interests focus on democracy, governance and international political economy- focusing on challenges of development for African states in the global world, elections, human security and peace and conflict. Tinashe is interested in applying computational tools to his field. His main research project aims at studying the impact of social media on democracy in Sub-Saharan Africa.
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Daniella Ojekere
I am a data scientist with experience in building predictive Models with extensive knowledge of Python frameworks, libraries, data structures, and data modeling with 5 years of experience as a data scientist and 2 years of machine learning. I currently work with Python, SQl, PowerBi, Microsoft Excel, and AWS, I have been a data scientist and a project administrator for international research grant projects in the United Kingdom, Uganda, Sweden, and Nigeria. I am an ardent reader and love writing and finding new problems to solve. In my free time, I like enjoying nature and am always on the lookout for adventures and contributing to open-source projects.
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Rennish Mboya
Rennish Mboya is a doctoral student in Maseno University in Kenya. my research is currently inclined towards importance of innovation and the steps that can be taken by Kenya to achieve the same state as the ASEAN block. currently working as an assistant lecturer in the same university lecturing technology programming units.

Istanbul

All Participants


Image of Akın Ünver
Akın Ünver
Akin Unver is an associate professor of International Relations at Ozyegin University, specializing in conflict research, computational methods and digital crisis communication. He is a fellow of Carnegie Endowment's Digital Democracy Network and serves as a member of TikTok's MENA-T Security Advisory Council. Previously he served as a Research Associate at the Center for Technology and Global Affairs, Oxford University and a Senior Research Fellow at GUARD (Global Urban Analytics for Resilient Defence) at the Alan Turing Institute. He is the author of ‘Defining Turkey’s Kurdish Question: Discourse and Politics Since 1990’ (Routledge Series in Middle Eastern Politics).
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Merih Angın
Merih Angın is an Assistant Professor at Koç University's College of Administrative Sciences and Economics, where she lectures at the International Relations Department, and Computational Social Sciences graduate program. Previously, she was a Postdoctoral Fellow at the Weatherhead Center for International Affairs of Harvard University, a postdoctoral research fellow at the Blavatnik School of Government of the University of Oxford, and a visiting scholar at the Mortara Center for International Studies of the Edmund A. Walsh School of Foreign Service at Georgetown University. She holds a Ph.D. degree in International Relations/Political Science from the Geneva Graduate Institute (IHEID), an M.Sc. degree in International Relations from METU, and a Bachelor’s degree in Economics from Bilkent University. Her research interests lie in the areas of international political economy, international development, international financial institutions, computational social sciences including agent-based modeling, machine learning, natural language processing, and artificial intelligence (AI) governance. Dr. Angın’s research on AI usage in social sciences was awarded the EU's Marie Skłodowska-Curie Actions Individual Fellowship, as well as the Scientific and Technological Research Council of Turkey’s International Fellowship for Outstanding Researchers. In October 2019, she founded the MA-Computational Social Sciences Lab (MA-CSSL) at Koç University, which is an interdisciplinary research laboratory bringing together researchers from multiple disciplines including economics, sociology, computer science, political science & international relations. Her work has been published in internationally recognized peer-reviewed journals such as Economics & Politics, Sustainability, International Interactions, IEEE Access, and New Perspectives on Turkey, among others.
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Onur Varol
Onur Varol is an Assistant Professor at the Sabanci University Faculty of Engineering and Natural Sciences and Principal Investigator at the VIRAL Lab. His research focuses on developing techniques to analyze online behaviors to improve individual well-being and address societal problems using online data. Prior to joining Sabanci University, he was a postdoctoral researcher at Northeastern University at the Center for Complex Network Research. He completed his PhD in Informatics at Indiana University, Bloomington (USA). His thesis focuses on the analysis of manipulation and threats on social media and he was awarded the 2018 University Distinguished Ph.D. Dissertation Award. He has developed a system called Botometer to detect social bots on Twitter and his team ranked top 3 worldwide at the 2015 DARPA Bot Detection Challenge. Efforts on studying social bots yield publications on prestigious venues such as International Conference of Web and Social Media (ICWSM), Nature Communications, World Wide Web (WWW) conference, and Communications of the ACM.
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Erdem Yörük
Erdem Yörük is an Associate Professor in the Department of Sociology at Koç University and an Associate Member in the Department of Social Policy and Intervention at University of Oxford. He serves as the principal investigator of the ERC-funded project 'Emerging Welfare' (The New Politics of Welfare: Towards an 'Emerging Markets' Welfare State Regime) and the H2020 project Social Comquant. He is also a member of Young Academy of Europe and an associate editor of European Review. He holds a Ph.D. from the Department of Sociology at Johns Hopkins University (2012). His work focuses on social welfare and social policy, social movements, political sociology, and computational social sciences. His work has been supported by the National Science Foundation (NSF), Ford Foundation, FP7 Marie Curie CIG, European Research Council, H2020, and the Science Academy of Turkey. His projects have created two datasets on welfare and protest movements. His articles have appeared in World Development, Governance, Politics & Society, Journal of European Social Policy, New Left Review, Current Sociology, South Atlantic Quarterly, American Behavioral Scientist, International Journal of Communication, Social Policy and Administration, and Social Indicators Research, among others. His book, 'The Politics of the Welfare State in Turkey' is forthcoming from the University of Michigan Press in May 2022.
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Başak Taraktaş
Başak Taraktaş is an Assistant Professor of Political Science at Bogazici University. She received her PhD in political science from the University of Pennsylvania in 2016. Before coming to Bogazici, She worked as a postdoc at Northwestern’s Buffett Institute for Global Affairs for two years and as a research analyst at FutureMap. Her research centers on collective action and opinion dynamics. Much of her work is set in the contexts of regimes, and contentious politics, where she combine computational methods (such as, agent-based models, network analysis, and text analysis) and qualitative research to unpack the effect of ideology and ideational beliefs on cooperation. She is particularly interested in adaptations of complexity theory and dynamical systems in social sciences.Her current project, Dia-Pol, is supported by Marie Curie Individual Fellowship 2020 grant. Dia-Pol studies the conditions under which polarization follows from social media interactions among social movements and their countermovements and the themes on which these interactions foster dialogue.
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Yunus Emre Tapan
Yunus Emre Tapan, a graduate of SICSS-Helsinki-18, is a Ph.D. Student in Political Science at Northeastern University. He studied Economics in his B.A. at Bogazici University and Middle East Studies in his M.Sc. at METU. His research sits at the intersection of data science and social sciences. He specializes in social network analysis and computational text analysis to study online extremist communities and non-state actors with a particular focus on how they radicalize. He is a graduate of ICPSR Summer Program in 2020 as one of the recipients of the Scholarship for Political Science Research.
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Ahmet Kurnaz
Ahmet is a computer engineer with a PhD in Political Science, specializing in R programming language. His research focuses on polarization and political communication in the digital age, with an emphasis on deep learning applications in social science analysis, digital politics, and elections. In addition, Ahmet has conducted research as a visiting scholar at the Oxford Internet Institute and the University of Maryland, College Park. His work aims to shed light on the complex relationship between technology and politics and to provide insights that can help to shape policy and decision-making.
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Fuat Kina
Fuat Kına is a PhD student at the Sociology Department of Koç University since 2018. Before joining the project, he graduated with B.S. degree in Economics from Boğaziçi University in 2015 and received his master’s degree with quantitative research on the relationship between anti-immigrant attitudes and labor precarity in Europe in 2018 from İstanbul Şehir University. He is currently working on the relationship between social movements, their targets and social assistance programs by utilizing advanced level quantitative techniques on causal inference. Some of his research interests are social policy, social movements, labor studies, Islamist movements, causal inference, systematic review.
Image of Ali Hürriyetoğlu
Ali Hürriyetoğlu
Dr. Ali Hürriyetoğlu is a postdoctoral research fellow at Koc University in the ERC projects “Emerging Welfare” (EMW) and “Social ComQuant: Excelling in Computational and Quantitative Social Sciences in Turkey”. He is performing research and coordinating the work-package related to automatically collecting a multi-country and multilingual protest events (contentious politics) database from local news sources in EMW. He is responsible from computational social science aspects in the Social ComQuant Project. He teaches text mining and Social Sciences and Computing related courses. Mr. Hürriyetoğlu performed research on extracting actionable information from social media in the scope of his Ph.D. studies. He has been working in industrial, governmental, and academic settings to process news and social media text in various domains throughout his career. His recent research focus is on the robustness and the generalizability of text processing systems across contexts.
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Uzay Çetin
Uzay Çetin received his master’s degree in artificial intelligence from Pierre and Marie Curie University and his doctoral degree in complex systems from Bogazici University Computer Engineering Department. He is a faculty member in Galatasaray University Computer Engineering department, and he is co-founder of Summarify. He organizes free machine learning courses to young people in Sarıyer Municipality and he works as a ML consultant with different firms.  He also organizes multi-disciplinary workshops on complex systems and data science.
Image of Berfin Baydar
Berfin Baydar
Berfin Baydar is a Ph.D. student at Sabancı University, specializing in Political Science. She will be continuing her doctoral studies at Duke University beginning in Fall 2023. In 2020, she completed her undergraduate studies in Political Science and Public Administration, with a minor degree in International Relations, at Bilkent University. Following that, she successfully obtained her master’s degree in Political Science from Sabancı University in 2022. Her thesis examined the relationship between civil conflict, voter turnout, and the vote shares of insurgent-affiliated and incumbent parties by focusing on the modifying effect of cleavage types. Currently, she is actively engaged in the Istanbul Telephone Directories Project, where she led the creation of a comprehensive dataset from phone directories dating from 1929 to 1955. Before starting her Ph.D. at Sabancı, she served as a research fellow for the World Health Organization. She conducted field research in Shamakhi, Azerbaijan, and contributed to co-authoring a mid-term evaluation report for the PROACT-Care project. Her research interest lies in the intersection of economic institutions, inequality, and minority politics. She examines the impact of economic policies, tax regulations, welfare programs, and public investments on political disparities, with a specific interest in understanding their influence on voting behavior and electoral outcomes.
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Lale Akarun
Lale Akarun is a professor of Computer Engineering and the director of the Center for Telecommunications and Informatics (http://tetam.boun.edu.tr/en). She received the PhD degree in Electrical Engineering from the Polytechnic School of Engineering of NYU, in 1992. She has been a faculty member at Bogazici University, Istanbul since 1993. She has served as Department Head of Computer Engineering (2010-2012) and Vice Rector for Research (2012-2016). As Vice Rector, her responsibilities included Sponsored Research Projects, Technology Transfer, Incubation Centers and Technoparks of the University. Her research areas are in image processing and computer vision, and in particular, processing of faces and gestures. She has supervised 70 graduate theses and published more than 200 scholarly papers in scientific journals and refereed conferences. She has conducted research projects in biometrics, face recognition, hand gesture recognition, human-computer interaction, and sign language recognition.
Image of Selim Balcısoy
Selim Balcısoy
Selim Balcısoy earned his Ph.D. degree in Computer Science at Swiss Federal Institute of Technology, Lausanne (EPFL) in 2001. Between 2001 and 2004, he worked as a Senior Research Engineer at Nokia Research Centre in Dallas, USA. Dr. Balcisoy has been awarded with a U.S.A. patent and is author of over 50 scholarly articles. He conducts research on augmented reality, data visualization, and cultural heritage. Dr. Balcisoy is a full-time faculty member at Sabancı University since 2004 and a cofounder of VisioThink, Inc., established in 2006.
Image of Mustafa Erdem Kabadayı
Mustafa Erdem Kabadayı
Dr. M. Erdem Kabadayı obtained his BSc. and MSc. degrees in Economics from the Middle East Technical University (1995) and the University of Vienna (1999), respectively. He gained his Ph.D. in History and Culture of the Middle East and Turkology at the University of Munich (2008). He was awarded the associate professorship in Economic History and the History of Economic Thought by the Inter-University Council of Turkey (2011). Dr. Kabadayi was the principal investigator of the first ERC Starting Grant (UrbanOccupationsOETR) in the economic history of the Ottoman Empire and Turkey (2016-2022). Recently he also gained an ERC Proof of Concept Grant (GeoAI_LULC_Seg) in the joint fields of data science, population geography, remote sensing, and history (2022-2024). His research has been interdisciplinary. Dr. Kabadayi has published individually and collaboratively in disciplines such as history, digital humanities, data sciences, geographical and earth sciences, and ecology.
Image of Anita Gohdes
Anita Gohdes
Anita Gohdes is Professor of International and Cyber Security at the Hertie School. Her research focuses on contentious politics in the cyber realm, with a current emphasis on large-scale quantitative analyses of state behaviour. Previously, she was Assistant Professor of International Relations at the University of Zurich, and postdoctoral research fellow at Harvard Kennedy School's Belfer Center International Security Program. Since 2009, she has worked for the California-based non-profit organisation Human Rights Data Analysis Group. She currently advises the German Federal Foreign Office, and has consulted for the World Bank and the United Nations on security and state fragility. Her doctoral dissertation (University of Mannheim) was awarded the German Dissertation Award in the Social Sciences by the Körber Foundation, and the Walter Isard Dissertation Award by the Peace Science Society.
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Christopher Barrie
Christopher Barrie is Lecturer in Computational Sociology at the University of Edinburgh. He specializes in the study of protest, conflict, and communication. He is particularly interested in advancing the use of use digital trace, news, and communications data to study populations that have traditionally been 'hard-to-reach' in the empirical social sciences.
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Milos Popovic
He is a leading data visualization specialist on Twitter and a Data Analyst at Booking.com in Amsterdam. He uses R to create maps that make sense of big data. His portfolio includes over 300 maps! According to NodeXL, He is among the Top 10 dataviz and R contributor on Twitter.
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Ingmar Weber
Ingmar is an Alexander von Humboldt Professor in AI at Saarland University. Within the department of computer science, he is currently building up a new team working on “Societal Computing”. This interdisciplinary area comprises (i) computing of society, i.e. the measurement of different social phenomena, in particular using non-traditional data sources, and (ii) computing for society, i.e. working with partners on implementing solutions to help address societal challenges.
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Ollie Ballinger
He is a Lecturer in Geocomputation at the Centre for Advanced Spatial Analysis at University College London. He did his PhD at the Oxford Department for International Development, where his research focuses on developing computational methods for the study of insurgent recruitment in Turkey. He sometimes builds and writes things for Bellingcat, where he is a Tech Fellow. He is a big fan of satellites and strange datasets.
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Serkant Adıgüzel
Serkant Adıgüzel is an assistant professor of political science at Sabancı University and a non-resident research fellow at Harvard Kennedy School’s Middle East Initiative. He is also part of the Machine Learning for Peace project, which aims to identify shifts in civic space in real-time worldwide. He obtained his Ph.D. in Political Science from Duke University in 2022. His research interests lie at the intersection of the political economy of democratic backsliding, digital media, and public services. His research focuses on two mechanisms through which autocrats build and maintain support: first, their attempts to capture the media and the resulting media bias, and second, the strategic deployment of public services. His research has appeared in journals such as the Journal of Politics, New Perspectives on Turkey, and Journal of Political Institutions and Political Economy.
Image of Mert Küçük
Mert Küçük
Mert is a graduate of Computer Science from Bilkent University, which he successfully completed in 2011. His startup was granted acceptance into the prestigious Y Combinator, a renowned startup accelerator program. With a versatile skill set and extensive expertise in the fields of Computer Vision and Entrepreneurship, Mert has held prominent positions as the Head of AI for several forward-thinking startups, where his contributions have significantly influenced their growth and success. Presently, Mert serves as the Head of AI at Oda Studio, where he continues to lead cutting-edge solutions in computer vision, image analysis, and object detection.
Image of Ergin Selim Gonen
Ergin Selim Gonen
Ergin Selim Gönen holds an undergraduate degree in Electrical and Electronics Engineering with a specialization in Control Theory from Bilkent University in 2006. In 2008, he completed an MBA degree at Sabancı University. His professional background encompasses strategy consulting, sales, software development, and entrepreneurship in companies that specialize in computer vision and synthetic image data. Currently, Selim is the founder of Mirage, where he focuses on the generation of synthetic image data using 3D rendering techniques. As the founder of Mirage, Selim is intimately involved in international computer vision projects, current frontiers in synthetic data and most key use cases of 3D rendering in industry applications.
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Veniamin Veselovsky
Veniamin Veselovsky is a research scholar at EPFL Data Science Lab working with Prof. Robert West on aligning AI for human needs. His recent work has focused on generating human-like synthetic data and monitoring LLM usage across various industries -like crowd work. In the past, Veniamin worked at the University of Toronto with Prof. Ashton Anderson building embedding techniques for Reddit and predicting affiliation on OpenStreetMap. He has presented this research both to academia at conferences like ICWSM, IC2S2, CSCW, and to industry -Google. In September, he will join the Max Planck Institute in Germany to work alongside Prof. Ingmar Weber.
Image of Dilge Iris Girgin
Dilge Iris Girgin
Dilge Iris Girgin is an upcoming PhD student at the University of Chicago, with a background in International Relations and Sociology. She completed her MPhil in Politics and International Studies from the University of Cambridge and currently serves as a research associate at the CFPPR. Her research interests include the study of transnational repression.
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Jawwad Shadman Siddique
Jawwad Shadman Siddique is a software engineer and machine learning researcher with expertise in data cleaning, data mining, knowledge graph, and natural language processing. He is passionate about generating innovative ideas and developing end-to-end products. Jawwad has worked on various projects, including building a recommendation system for flood monitoring in Texas, designing mapping functions to identify water accumulation areas, and developing a web analytic tool for machine learning and energy education. He is currently involved in developing a social network map to identify research interests for novice researchers. Jawwad holds a B.Sc in Civil Engineering from Bangladesh University of Engineering & Technology and an M.Sc in Civil Engineering from Texas Tech University. During his time at Texas Tech University, he worked as a graduate research assistant at the water resources center. Jawwad has gained international exposure through his participation in conferences and projects, which has shaped his global problem-solving mindset. He has received training from esteemed accelerators and incubation programs such as Watson Institute, Startup Istanbul, and UNLEASH. His startup, 'Waste-Bin,' has been recognized by Etohum, a prominent incubator and angel investment hub in Turkey.
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İlayda Velioğlu
I am a psychological science master's student and mainly interested in morality. I find using R in my research projects enjoyable and rewarding.
Image of Gün Ünal
Gün Ünal
Gün Ünal is a Ph.D. student at Ankara University, Department of Political Science. She has an MA degree in International Relations from Hacettepe University, and BA in International Relations from Bilkent University. She previously worked as a Junior Researcher for a think tank and is an alumni of 2019 MENA Workshops held by DGAP German Council for Foreign Relations in Berlin and Rabad. Her research areas cover a broad spectrum of human security studies and qualitative social research, she is interested in pathway analysis.
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Yasser Zouzou
Yasser is a Data Science MSc student at Sabanci University and a researcher in Viral lab. He is currently working on social media data analysis, focusing on the upcoming elections in Turkiye. His main contribution in the lab is in detecting anomalies in Twitter followers using unsupervised approaches. His field of interest is detecting, analyzing, and mitigating online misbehavior.
Image of Mustafa Murat Cerit
Mustafa Murat Cerit
M. Murat Cerit is a research assistant in marketing at Turkish-German University, Department of Business Administration. He has a bachelor's degree from Istanbul University (2008). After working a couple of years in the industry as international sales and marketing executive, he moved to Germany to study for a master's degree thanks to a scholarship from the Ministry of National Education of the Republic of Turkey and completed the study in Business Administration at the University of Bremen (2017). He is currently a PhD candidate at Istanbul Technical University's Department of Business Administration. He focuses on brand messages published on Twitter and works with certain text analysis methods in order to understand how marketing professionals have changed their marketing communication language during the global pandemic.
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Esra Çengel
Esra Çengel is a research assistant and Ph.D. candidate in the Department of International Relations at Middle East Technical University (METU). She obtained a Bachelor's degree in International Relations and a Minor degree in German Language from METU. Esra earned her Master's degree from the Department of European Studies at METU with her thesis entitled 'The Greek Political Elite and the European Identity: Impact of the Debt Crisis' in 2018. Her current doctoral research focuses on the history of American-Turkish relations, examining the influence of people-to-people interactions on the political, economic, and cultural ties between the two countries. Her research interests include foreign policy analysis, nationalism, and gender. Esra is particularly interested in data-driven approaches and quantitative methodology in the field of international relations.
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Neslihan Gurler
Neslihan Gurler, graduated from Hacettepe University Department of Sociology and she is a master student in Applied Data Science at TED University. Her main area of interest is an interdisciplinary field where software and sociology are together and combines social science and natural science methodologies. Thanks to the her learning objective, she study with social sciences methodology, especially computational methods, data analysis, machine learning (ML) and artificial intelligent (AI). She is one of the founders of a start-up called NOTAR Research and Analytics within the framework of her domain. She is also working with Hacettepe University Demography Institute for the TUBITAK project.
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Cihan Hulagu
Cihan graduated from Bogazici University, where he studied Psychological Guidance and Counseling. He has an interest in personality theories and social network analysis. He completed his research project on a bivariate correlational study that explored the relationship between personality types and movie preferences. His most recent research interests focus on social network analysis and the motivations behind social media use. He studies co-following relations on Twitter to understand the motives behind the ways we choose to collect information.
Image of Süleyman Barış Başaran
Süleyman Barış Başaran
Suleyman Baris is a second-year master's student in Computational Social Science at Koc University, with a solid background in Political Sciences. His current research focuses on exploring the relationship between urban growth, environmental quality, and overall satisfaction with life. Using advanced techniques such as Geographic Information System (GIS) and Natural Language Processing (NLP), he analyzes vast amounts of data from various sources, including call center data and social media platforms. In those projects, he utilizes innovative methods like time series and geospatial analysis, as well as topic modeling and sentiment analysis. Through his research, Suleyman hopes to contribute to the development of evidence-based policies that can improve the quality of life in urban areas.
Image of İsa Ali Demir
İsa Ali Demir
Ali is an M.A. student in the department of International Relations at Koç University. He holds a B.A. degree in Political Science and International Relations from Boğaziçi University. His research interest lies in the intersection of computational research methods and affective polarization. Specifically, conceptualizing polarization as a geographically distributed phenomenon, he investigates the geographical drivers of affective polarization in Turkey. Prior to graduate school, he participated in several research projects and worked in policy centers as a research intern. Currently, he works as a research assistant in a Tubitak project where he computes textual analysis on speeches of Turkish political party leaders. He is heavily interested in computational research methods such as geospatial analysis and natural language process.
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Ahmet Ergurum
Ahmet Ergurum is a Political Science Ph.D. student at the University of Wisconsin-Milwaukee. His research interests include foreign policy analysis, conflict, civil wars, international security, and emerging technologies. His current research focuses on rebel groups, foreign policy decision-making of MENA leaders, and Blockchain policies of great powers. He received his Bachelor of Arts degree in International Relations from Bilkent University. He completed his Master of Arts degree in International Relations at Bilkent University. He is interested in text analysis, causal inference, quantitative methods, and computational social science.
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Benan Kazdağlı
Benan is a PhD student in History at Boğaziçi University. He earned his B.Sc. in Economics from Galatasaray University; and his MA in History from Istanbul 29 May University. His master's thesis was on the 18th-century grain merchants of Istanbul. His Ph.D. research will focus on grain markets of the 18th century with an attempt to go beyond the price fluctuations and study the ways in which the social and physical aspects of the markets affect the practices of exchanges. His interests revolve around the concept of market. To understand it better, he seeks to learn the methods offered by the computational social sciences.
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Sudenur Koyuncu
Sudenur is in her last year of International Relations department in English at Ankara Hacı Bayram Veli University. During studying, she realized her interest in technology and aimed to use technology in International Relations related fields in her career. She was selected to and completed Data Science for Social Good Bootcamp which was sponsored by CADS@TEDU and Kodluyoruz. She also writes on a variety of topics for the Gelecek Bilimde (the Future is in Science) blog. Her interests are social data science, international organizations, international political economy, international development and energy diplomacy.
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Azade Eryiğit
Azade Eryiğit is a PhD candidate in International Relations at Kadir Has University and a Research Assistant at Özyeğin University. She has a broad interest in critical security studies, foreign policy analysis, and social media analysis using NLP methods. She earned her BA degree in Political Sciences and International Relations from Şehir University and began her MA studies there. She completed her MA degree at Marmara University, where she wrote a thesis on the theory of securitization and its application in social media analysis.
Image of Yağmur Çağatay
Yağmur Çağatay
Yağmur Çağatay is an MA student in the Sociology Department at Boğaziçi University, where she also works as a research assistant. As part of her master’s thesis, she currently works on sexual harassment at universities and disclosures thereof. Her research interests revolve around the sociology of sexuality, social networks, and information diffusion, with a touch of film studies.
Image of Ozancan Ozdemir
Ozancan Ozdemir
Ozancan Ozdemir, who graduated with a bachelor's degree in Statistics from Middle East Technical University (METU) in 2017 and with a master's degree in Statistics in 2020, as a valedictorian in both, is currently pursuing his PhD in the same department. Since 2017, he has been working as a research assistant at the METU Statistics Department and is also a co-founder of the data journalism website VeriPie. His research interests include time series forecasting, deep learning applications, data visualization, text mining, natural language processing, and election forecasting.
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Leon Oliver Wolf
Currently, I am pursuing a Master's degree in Social Scientific Data Analysis that focuses on statistical analysis and modeling. Through the graduate school I have gained in-depth knowledge of research puzzles, Application Programming Interfaces (APIs), and ethical considerations in data analysis. At the University of Maastricht, I completed an interdisciplinary Bachelor's degree in European Studies that placed a strong emphasis on Problem-Based-Learning (PBL) methods. Through this program, I developed a solid academic foundation in political science, among other related fields. I have a keen interest in utilizing data analysis to gain insights into complex socio-economic and socio-political phenomenas and am committed to continuously enhancing my skills and knowledge in this field. I aim to build upon my existing knowledge by conducting theory-led, comparative empirical analyses on politics and policy-making, with a specific focus on promoting the common good.
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Hannah Weytjens
Hannah is a PhD candidate in sociology at KU Leuven and ULB, Belgium. She holds a BS and MA in sociology, with a focus on cultural sociology. Her research focuses on how cities (re)create diversity and how this connects to inequities. She is particularly interested in how the aesthetic and cultural aspects of cities contribute to this. Hence, her thesis is about how people form “scenes” (i.e. loose clusters of people with similar lifestyles) based on cultural and aesthetic judgments in the Brussels’ neighborhoods of Matonge and Molenbeek, and how these scenes relate to each other.
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Melih Can Yardı
Melih Can Yardı is a second-year MA student in Computational Social Sciences at Koç University and a researcher at the Politus Project. He holds a bachelor's degree in Political Science and International Relations & Philosophy from Boğaziçi University. He specializes in social media, natural language processing, and social network analysis. His current work focuses on stance detection, online communication, political behavior, and public opinion & discourse.
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Alper Tunga Şahiner
Alper Tunga Şahiner is currently pursuing his Master's degree in Political Science at Sabancı University and he is a research assistant at Istanbul Gedik University. He holds a BA in Political Science and International Relations and BA in Sociology from Istanbul Sehir University. He enjoys working on various topics ranging from colonization to football transfers, from civil wars to extreme right-wing party votes. Currently, his research is primarily focused on international political economy, offshoring, and economic nationalism.
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Serhat Demirkıran
Serhat Demirkıran is a Data Science MSc. student at Sabancı University. He is also a member of Viral Lab led by Professor Onur Varol. He received his bachelor's degree in Computer Engineering from İstanbul Technical University. He studied recommender systems for his graduation project and developed a model to predict tweet engagement rates as a problem presented by RecSys Challenge 2020. He is interested in user behavior and political polarization in social media lately.
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Gevher Yesevi
Gevher is a data scientist and consultant with expertise in energy systems. She holds a Bachelor's degree in Industrial Engineering and is pursuing a Master's degree in AI at Ozyegin University. Gevher has worked on a range of consultancy projects for energy systems and building automated machine-learning modules for time series forecasting. Her research interests include behavior modeling in bilateral negotiations and time series forecasting.
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Ayşe Duman
Ayşe Duman is currently a first-year MS student in Industrial Engineering and Operations Management at Koç University. She holds a bachelor’s degree in Mathematical Engineering from Yildiz Technical University, which she obtained in 2021. In 2022, she completed a double major in Statistics at the same institution. Her areas of expertise include data analysis, machine learning algorithms, and optimization methods. Her current research focuses on integer programming and mixed integer programming using solvers such as Gurobi, Cplex, and Glpk. Additionally, she has an interest in VRP and TSP problems as well as time series forecasting. Currently, she is continuing her professional career as a Product Specialist at BTS Group in the BTS AI LAB located in ITU Ayazaga Campus, Turkey.
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Ali Najafi
Ali Najafi is a Computer Science MSc student at Sabanci University and a researcher in the Virallab. He is currently working on social media data analysis, focusing on the upcoming elections in Turkey. His main contribution to the lab is building Turkish Language Models and applications to detect misinformation on Twitter. He is active in Natural Language Processing and Computational Social science.

Korea

All Participants


Image of Lanu Kim
Lanu Kim
Lanu Kim is an assistant professor in the school of humanities and social sciences and a joint professor in the school of computing at KAIST. After finishing her sociology PhD at the University of Washington, she was a postdoctoral fellow and data science scholar at Stanford University. Her research broadly contributes to the theoretical understanding of academic knowledge creation by mainly examining the impact of academic search engines, gender inequality in higher education, and the social structure of knowledge construction. To investigate, she utilizes new big data sources, innovative analytical strategies, natural language processing, and advanced statistical methods and works with interdisciplinary research teams.
Image of Jaehyuk Park
Jaehyuk Park
Jaehyuk Park is an assistant professor at KDI School of Public Policy and Management (KDI School) and a visiting faculty in the Data Science group at IBS. After he finished his Ph.D. in Informatics at Indiana University, Bloomington, he received his postdoctoral training at Kellogg School of Management at Northwestern University, and has also served as a research scientist at the Core Data Science team at Facebook (currently, Meta). His research interests lie in the intersection of data science and public policy, with a focus on understanding the impact of technological innovation on public management and the labor market.
Image of Jeon June
Jeon June
June Jeon is an assistant professor of sociology at Chungnam National University (CNU), Republic of Korea. He is a qualitative ethnographer and theorist, specialized in sociology science, technology, and environment. His recent research interests include computational large-scale qualitative analysis on varieties of inequalities in scientific knowledge production. June received Ph.D. in sociology at the University of Wisconsin-Madison and has published in Social Studies of Science, New Media & Society, Agriculture & Human Values, among other journals.
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Eunhye Ann
Eunhye Ann is an Assistant Professor at Brown School at Washington University in St. Louis. She is also an affiliated researcher at the Center for Innovation in Child Maltreatment Policy, Research and Training and Children's Data Network. She leverages data to improve the outcomes of children and families who come to the attention of the system, advancing broader social goals of equity and justice. Her research agenda includes informing child welfare policy and practice through rigorous examination of racial and socioeconomic disparities, developing predictive models to support frontline workers' decision-making, and understanding the ethics and fairness of machine learning applied to child welfare.
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Kaiping Chen
Dr. Kaiping Chen (PhD, Stanford University) is currently an Assistant Professor in Computational Communication from the Department of Life Sciences Communication at the University of Wisconsin-Madison. Dr. Chen is also faculty affiliate at Department of Political Science, the Nelson Institute for Environmental Studies, and the Robert F. and Jean E. Holtz Center for Science and Technology Studies. Dr. Chen's research use data science and machine learning methods as well as interviews to study to what extent digital media and technologies hold politicians accountable for public well-being and how deliberative designs can improve the quality of public discourse and mitigate misinformation. Dr. Chen's work is interdisciplinary and draw from theories in communication, political science, and computer sciences. Chen's works in utilizing big data tools and community engagement methods have been supported by the US National Science Foundation, Chan Zuckerberg Initiative, and American Family Insurance. Her works were published in flagship journals across disciplines, including the American Political Science Review, Journal of Communication, Journal of Computer-Mediated Communication, New Media & Society, Public Opinion Quarterly, Public Understanding of Science, Harvard Kennedy School Misinformation Review, International Public Management Journal, Proceedings of the National Academy of Sciences (PNAS), among other peer-review journals. Dr. Chen is also a civic engagement practitioner, with her continued passion to help local governments and communities in US and China implement and analyze innovative practices of engaging citizens throughout policymaking.
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TaeYoung Kang
TaeYoung Kang is a founder of Underscore, data analyst, and motion-graphic content creator. He finished his M.S. in Management Engineering at KAIST, and also majored in Sociology and Political Science during undergraduate years. He is interested in the fields of Computational Social Science including Online Political Behavior, Media Consumption, and Applied NLP.
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Juho Kim
Juho Kim is an Associate Professor in the School of Computing at KAIST, affiliate faculty in the Kim Jaechul Graduate School of AI at KAIST, and a director of KIXLAB (the KAIST Interaction Lab). His research in human-computer interaction and human-AI interaction focuses on building interactive and intelligent systems that support interaction at scale, aiming to improve the ways people learn, collaborate, discuss, make decisions, and take action online. He earned his Ph.D. in computer science from MIT. He is a recipient of a KIISE/IEEE-CS Young Computer Researcher Award, KAIST's Songam Distinguished Research Award, Grand Prize in Creative Teaching, Q-Day Creative Education Award, and Excellence in Teaching Award, as well as 14 paper awards.
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Byungkyu Lee
Byungkyu (BK) Lee is an Assistant Professor of sociology at Indiana University. He received his PhD from the Department of Sociology at Columbia University with the Robert Merton Award for Best Dissertation. He has been using causal inference, network analysis, and machine learning methods to study social divisions, political polarization, and social determinants of health. His work has been supported by the National Science Foundation, National Institute of Health, Facebook/Meta, and American Foundation for Suicide Prevention. He has published in the American Journal of Sociology, Social Forces, Proceedings of National Academy of Science, JAMA Network Open and several other outlets.
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Dongoh Park
Dongoh is a Senior Policy Advisor at Google's Trust and Safety Team, where he is responsible for creating and overseeing policies for Chrome Browser and the web ecosystem to protect user safety and privacy. Prior to joining Google six years ago, Dongoh worked as a policy researcher at the Science and Technology Policy Institute in Korea and the Korea Institute of Science and Technology Information. He also served as an information and communication officer in the Republic of Korea Navy. Dongoh holds a Ph.D. in Social Informatics from Indiana University, Bloomington and currently lives in the Los Angeles area with his family.
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Minsu Park
Minsu Park is an Assistant Professor of Social Research and Public Policy at New York University Abu Dhabi. He develops and applies quantitative and computational methods to study the consumption and production of creative work. His current projects focus on how cultural artifacts/interests flow worldwide and how social traces, such as ratings, reviews, and reviewer identities, shape audiences' perceptions and engagements online. His research inhabits an interdisciplinary nexus between data science and social science, simultaneously drawing on and contributing to both, and has been published in top-tier venues in both computer and information science conferences (e.g., ISMIR, ICWSM) and interdisciplinary journals (e.g., Science Advances, Nature Human Behaviour). He received his doctorate in Information Science at Cornell University, where he was a member of the Social Dynamics Lab. He is also affiliated with the Center for Data Science at New York University.
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Allen Kim
Allen Kim is a Ph.D. candidate in political science at Columbia University. While he specializes in American politics, his research interests more broadly concern public opinion about environmental policies and the political psychology behind perceptions of threats. He strives to apply quantitative methods and text analysis to better understand under what conditions individuals are more willing to endorse costly environmental legislation and take certain policy issues more seriously. He received a BA in political science with a minor in public policy from UC Berkeley.
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Anthony T. Nguyen
Anthony is currently in his first year as a PhD candidate in Political Science at the University of California, Davis, specializing in Comparative Politics and American Politics. His primary research focus is on the study of queer politics within advanced industrial democracies, with special emphasis on the East Asia region. Specifically, he seeks to understand the divergent outcomes among these nations in terms of their protection of LGBTQ+ rights.
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Ayushi Das
I am a Ph.D. student in Biostatistics and Demography at the International Institute for Population Sciences, Mumbai, India. My research focuses on utilizing machine learning methods to explore sociodemographic risk factors associated with geriatric diseases. I have a keen interest in integrating computational methods and big data approaches to advance demographic research.
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Bumju Jung
Bumju Jung (he/him) is an incoming PhD Student at USC Annenberg School for Communication and Journalism. Bumju explores the social influences of political messages generated by autonomous machines, such as social bots, and how they reshape both on- and offline public spheres. In essence, he seeks to answer, “How are machines and advanced technologies, like artificial intelligence, intervening in public opinion, and what is the meaning of authentic communication on social media then?”
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Dahyeon Jeong
DaHyeon Jeong is a Master's student in International Relations at Seoul National University. She studies foreign policy decision-making in the context of crisis bargaining, wartime negotiation, and political rhetoric. Specifically, she is interested in examining how states signal their foreign policy intention during conflict and how political leaders back up these policies using various political tools. With methodological training in quantitative methods and computational social science, she currently aims to explore the effect of populist rhetoric on public beliefs and foreign policy preferences. She received her Bachelor’s degree in Political Science and International Relations at Chung-Ang University.
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Dahyun Ryu
My research interests in computational social science developed from previous experiences of studying sociology, working at research institutes and basic usage of publicly open structured datasets. I am interested in 1) navigating deeper into analyzing structured datasets, beyond cross-sectional regression analysis; 2) exploring beyond structured datasets – broadening to unstructured datasets; 3) recognizing the current limits of dataset and increasing diversity; 4) Being interactive, close to the actual world.
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Donggyu Kim
Donggyu Kim is a Ph.D. student at the Annenberg School for Communication and Journalism at the University of Southern California. He received his B.S. in Advertising from University of Illinois Urbana-Champaign and M.A. in Advertising from University of Texas at Austin. Kim's research focuses on the psychological underpinnings of technology adoption in marketing and organizational contexts. He is interested in understanding how credibility and trust shape behavior, how people’s heuristics influence attitudes, and how AI/Computer-mediated communication is changing the interaction with one another.
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Donghyun Kim
Donghyun Kim is a Ph.D. student in Sociology at the University of Iowa. He studies sociological social psychology, group processes, and cognitive sociology. His current project is to reconcile the contradictory effects of cross-ethnic contact on health and well-being. He obtained M.A. in Clinical Psychology from Chung-Ang University, and M.A. in Sociology from the University of California, Riverside.
Image of Dongwook Kim
Dongwook Kim
PhD student in Social Work and social justice researcher with experience of working as a project manager and field researcher over ten years in community organizing and development. Interested in mixed and indigenous methods, as well as harnessing data-analytic tools in evidence-based research and impact communication.
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Hyo Joo L
Hyo Joo is a Ph.D. Candidate in Sociology at Cornell University. Her broad research interests include family demography, social stratification, and gender inequality in the labor market. Her current research focuses on the changing patterns of parenting and their implications for social inequality, and she is interested in applying computational methods to study the implications of demographic changes on social inequality.
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Ji Hae Choi
Ji Hae Choi is a Ph.D. student at the Department of Management and Organizations (MORS), Northwestern University. Her main research interest includes board network, cultural evolution and standardization. She is interested in understanding how culture is spread, reconfigured, and could be facilitated with interventions. Her current project examines how cultures spread and become entrenched through board networks and how this leads to cross-industry imbalances. She is also investigating new ways to structure culture in order to make the flow of culture visible.
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Sanghyun Park
Sanghyun Park is a PhD student in Political Science at Yonsei University. He is also a researcher at the Center for Employment Policy Evaluation & Monitoring, KEIS. He is interested in computational science, particularly in using computational methods to analyze the behavior of political parties, voters, and candidates and their interactions during election processes. He is also interested in research related to the labor market(e.g. job policy, platform labor, etc) and inequality of gender and generations.
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Seung Hyun Kim
Seung Hyun has accumulated experiences in managing policy consultation programs at Korea Development Institute (KDI) since 2013, working with various partner governments, international organizations and MDBs. He has worked with various organization in different regions of the world, including Latin America, Middle East, Europe, and Southeast Asia, and has served as a team leader for forming global partnerships. Building upon his experiences, he aspires to enhance cooperation between technology, policy, and international development. He studied political science and international studies during his undergraduate program at Yonsei University and obtained his master's degree in Public Policy at KDI School of Public Policy and Management.
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Sola Kim
Sola Kim, a PhD student in Sustainability at Arizona State University, focuses her research on the Social-Ecological System and the Coupled Infrastructure Systems Framework. Her primary objective is to examine how governance can achieve resilience and robustness in the face of climate change. Specifically, her research delves into the environmental decision-making processes, with a particular emphasis on the perspectives and roles of judicial decision-makers, especially justices.
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Soo Min Song
Soo Min Song is currently pursuing a master's double major in Sociology and Applied Data Science at Korea University. Her research interest lies in social network analysis, health discourse, and cultural sociology. Her research focuses on the intersection between digital space and the lived experience as social contexts. She believes that harnessing the power of big data and employing machine learning methods can enhance the understanding of the multifaceted realities of society, including issues related to minorities, prejudice, and inequality. She is particularly interested in the process of transforming health-related discussions in the online sphere into influential political subjects.
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Wooyong Jung
Wooyong Jung is a Ph.D. student in Informatics at the Pennsylvania State University. Wooyong is interested in applying computational methods to public policy to address complicated social issues. He is currently working on expanding the probabilistic machine learning approach to predicting eviction hot spots and urban land use. His past research includes investigating user behavior in cyberspace and their political orientation.
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Yoonjae Shin
Yoonjae Shin is an incoming PhD student in organizational behavior at Harvard. His current research examines the impact of competitive pressure on workplace safety and the effect of shareholder activism on workplace diversity. More broadly, he is interested in labor market, diversity, and innovation. He focuses on how structural and cultural changes often lead to an inequality in labor market and in science. He plans to employ natural language processing and network analysis to explore the change in the labor market and the direction of innovation.
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Young Seok Kim
Young Seok Kim is an upcoming Ph.D. student at department of Government (Political Science), UT Austin. His primary research interests revolve around elections and voting behavior, with a focus on both the Korean and American contexts. Additionally, he also focuses on the role of Big Tech as political actors. His previous research was primarily relied on quantitative analysis using survey data. He is trying to expand his specialities by constructing dataset using big data and conducting experiments. He holds his BA and MA from Yonsei University.
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Junsang Im
Junsang Im is a Master's Student in Digital Humanities and Computational Social Sciences at KAIST. He has an interest in various topics surrounding society and technology, especially how people understand the digital environment and solve their problems by themselves on it. Moreover, he wants to explore the possibility of individuals and their groups voluntarily recognizing problems and forming discourses in a digital environment.
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Suhyoung Choi
Suhyoung Choi is a Master’s student in Digital Humanities and Computational Social Sciences at KAIST. Her research interests center on bias, inequality and discrimination represented on technology with computational methods. She is currently studying Data Science, and the application of those methods solving various social problems.
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Woori Jang
Woori Jang is a master's student at the Graduate School of Digital Humanities and Computational Social Sciences, KAIST. She is deeply passionate about unraveling the complex human narratives that influence and reshape systems, often referred to as "culture." Her aspiration is to conduct computational research on the dynamics within diverse social groups, with a focus on making the findings accessible to non-academic audiences who may not be familiar with scholarly paper formats.

Montréal

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Image of Vissého Adjiwanou
Vissého Adjiwanou
Vissého Adjiwanou is a professor of Demography and quantitative and computational methods in the Department of Sociology at the Université du Québec à Montréal (UQAM), and adjunct professor at the Department of Demography (Université de Montréal). He directs the Lab on quantitative and computational social science. He is also affiliated with the Centre on Population Dynamics (McGill University). He received an M.A in Statistics from the National School of Statistics and Applied Economics (ENSEA-Cote d’Ivoire), an M.A in Economics of Development at the Centre for Studies and Research on International Development (CERDI- France) and a PhD in Demography from the Université de Montréal (Canada). His research focusses on population issues in sub-Saharan Africa and in Canada, including fertility, family dynamics, gender inequality, reproductive health, and integration of immigrants from SSA in Canada.
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Xavier St-Denis
Xavier St-Denis est professeur adjoint en études des populations à l'Institut national de la recherche scientifique (INRS), Centre UCS. Ses recherches portent sur la mobilité sociale, les inégalités socioéconomiques, les trajectoires professionnelles et éducatives, l'économie politique comparée, les statistiques sociales et les méthodes quantitatives. Avant de joindre l'INRS, il a effectué un stage postdoctoral à l'Université de Toronto et a travaillé comme chercheur à Statistique Canada
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Evelyne Brie
Evelyne Brie est professeure adjointe en science politique à l Université Western. Elle détient un doctorat en science politique de l Université de Pennsylvanie. Ses recherches portent sur l opinion publique, le comportement électoral et l économie politique, principalement en Allemagne et au Canada. Elle est chercheure affiliée au CAPFC (Centre d analyse politique - Constitution Fédéralisme) et à la CLESSN (Chaire de leadership en enseignement des sciences sociales numériques). Elle a récemment publié l ouvrage « Un pays divisé : identité, fédéralisme et régionalisme au Canada » aux Presses de l Université Laval (à paraître aux Presses de l Université de Toronto). Elle a précédemment travaillé en tant qu analyste de données au City Lab Berlin et à Politics for Tomorrow.
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Alex Luscombe
Alex Luscombe is a data scientist working full time for several Canadian government institutions and a PhD Candidate in criminology at the University of Toronto. His dissertation research leverages advances in natural language processing, machine learning, and high-performance computing to conduct the first ever big data study of police criminal investigations in Canada. As a data scientist and strategic advisor, he has worked on projects for many different public and private sector agencies, from police agencies to human rights commissions, as well as international organizations like the OECD. His work has been profiled in national and international news outlets, including Nature, The Globe & Mail, The Toronto Star, The Washington Post, and BBC News.
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Hervé Mensanh
Hervé Mensah est un professionnel chevronné d’analytique de données. Il a obtenu un baccalauréat en mathématiques et en statistiques, puis une maîtrise en science des données en 2014. Hervé travaille actuellement chez Autodesk en tant que Senior Manager en Analytique dans l'équipe Genuine. Il a travaillé précédemment à la Banque Nationale en tant que scientifique de données sénior, chez Deloitte en tant que manager en analytique avancée dans le département de service financier et chez La Presse en tant que Directeur de l'intégration et de la science de données. Grâce à son expérience et sa passion dans les statistiques, apprentissage machine et science des données, Hervé continue d’aider les organisations à maximiser l'utilisation de leurs données.
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Matthew Salganik
Matthew Salganik is Professor of Sociology at Princeton University, and he serves as the Director of the Center for Information Technology Policy. He is also affiliated with several of Princeton's interdisciplinary research centers including the Office of Population Research and the Center for Statistics and Machine Learning. His research interests include social networks and computational social science. He is the author of Bit by Bit: Social Research in the Digital Age.
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Isis Urgell
Isis Urgell is a PhD candidate at Monash University, Australia, in Philosophy of Science and Epistemology. She obtained a BA-MA in Philosophy with an orientation in Formal Logic from the University of Buenos Aires, Argentina. Her current research topic is the influence of political polarization on the evaluation of scientific content in social media. From a methodological point of view her research employs social network analysis and content analysis to understand large patterns of speech and online behaviour related to anti-science attitudes, misinformation spread and political polarization. She is also interested in how political and moral values shape science perception in social media environments. Other interests include corpus analysis and community detection methodologies.
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Mankponse Augustin
Mankponse Augustin Gnanguenon est un assistant de recherche au sein de l'institut des sciences de l'éducation. Statisticien et Data scientiste et chercheur associé à la boutique des sciences de Parakou, il s’intéresse à l’usage des statistiques et de l’intelligence artificielle pour répondre aux problématiques en science sociale. Il a contribué à divers projet internationaux dont le projet TranSco-AUF, Yanayi, Ben-Soha. Il a eu à coécrire plusieurs articles qui s’inscrivent dans divers domaines des sciences sociales, dont les sciences de l’éducation et les statistiques appliquées..
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Kongo Amenan Rachel
Kongo Amenan Rachel est doctorante en Sociologie de l’éducation à l’Université du Québec à Montréal. Elle est affiliée au Centre Interuniversitaire de Recherche sur la Science et la Technologie (CIRST). Ses recherches portent sur les parcours scolaires des étudiant.e.s en période de crise en mobilisant des analyses quantitatives et qualitatives.
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Carlos Castiblanco
Carlos Castiblanco is an Economics graduate student at Université de Montréal, nearing the completion of his master's program. Having acquired a BSc in Economics from the National University of Colombia, Carlos has a strong foundation in statistical analysis and econometrics, with a particular emphasis on data analysis. Since relocating to Canada in 2019, Carlos has gained substantial industry experience in trade analysis, as well as accounting and payroll processing. His practical experience complements his academic pursuits, as evidenced by his master's project, which seeks to quantify the impact of a Colombian government program on the education performance of rural communities. His professional and academic interests extend beyond traditional economic boundaries, covering policy and causality analysis to experimental economics.
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Julie Duford
Julie Duford est candidate au doctorat en Sexologie à l’Université du Québec à Montréal sous la supervision de Martin Blais, professeur au département de Sexologie et titulaire de la Chaire de recherche sur la diversité sexuelle et la pluralité des genres. Elle a une maîtrise en anthropologie médicale de l’Université de Montréal. Elle est aussi auxiliaire de recherche à l’Institut universitaire Jeunes en difficulté. Ses intérêts de recherche portent sur les jeunes LGBTQ2+ et les facteurs de risque et de protection dans les parcours d’itinérance.
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Leonard Castelli
Leonard Castelli is a graduate student in Sociology at Goethe University Frankfurt (Germany). He holds a Bachelor’s degree in Political Science from Goethe University Frankfurt and has spent part of his studies at Université de Liège (Belgium) and EHESS (Paris, France). His research mainly revolves around populism in Europe, more specifically the link between (right-wing) populism and so-called anti-genderism of political parties in Europe. Leonard employs quantitative methods of statistical analysis as well as quantitative text analysis. He is currently a student research assistant at the Faculty of Social Sciences at Goethe University Frankfurt.
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Elnathan Tiokou
Elnathan Tiokou est étudiant en Doctorat a Polytechnique Montréal et chercheur en Intelligence Artificielle de pointe a MILA AI Institute. Il est dévoué et déterminé à changer la narration de l'Afrique et à contribuer à construire une Afrique meilleure avec des systèmes d'intelligence artificielle éthiques et responsables. Outre l'intelligence artificielle, il est le fondateur de la jeune entreprise technologique africaine CHRONEXIS. Dans ses temps libres, il crée du contenu sur les réseaux sociaux pour inspirer les gens avec ses histoires, ses expériences et ses réalisations. Sa mission est de faire croire aux jeunes qu'ils peuvent atteindre la grandeur dans leur vie et cela avec rien de moins qu'une faim profonde. Il est ouvert aux opportunités qui pourraient inclure : des partenariats, des bourses, des mentorats et bien d'autres.
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Shamsi Soltani
Shamsi Soltani (she/her) earned an MPH in Epidemiology at Tulane University and a BS in Neuroscience with French minor at UCLA. She is now a PhD student in Epidemiology at Stanford University studying suicide prevention. She draws on deep applied public health experience, including over six years as a senior epidemiologist for the San Francisco Department of Public Health. She excels at leveraging data to inform education, research, and policy– once spurring the CDC to adopt ICD-10-CM medical codes to identify e-scooter related injury. Shamsi is interested in the interplay of technology, bias, and health disparity, particularly with respect to big data. Born and raised in San Francisco, Shamsi is a child of immigrants. She is fond of hiking year round, reading reams of fiction, and sweating through rhythm & motion dance classes. She is currently training for a 545 mile (877 km) bike ride from San Francisco to Los Angeles. Shamsi delights in food shared with friends and has yet to meet a hot spring she doesn't like.
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Firdaous Sbaï
Firdaous Sbaï is a PhD student in sociology at the University of Toronto. She completed her MA in sociology at McGill University. Her work is broadly concerned with state and public responses to social problems. One line of projects examines disparities in criminalization and incarceration. Another strand of research is centered on social movement framing and organizing, and seeks to understand how different mobilizing strategies resonate across different contexts. Her work generally focuses on racial inequalities and forms of violence.
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Mayra Juruá
Mayra Juruá have been a science policy professional for last 15 years and now she is also a PHD candidate on both science& technology studies (sts) at Université du Québec à Montréal and Education at University of Campinas (Brazil). She is interested in social sciences and humanities dynamics, with a particularly focus on research internationalization. Mayra has many publications in portuguese, english, and french concerning science policy, sustainable development and the role of humanities and social science.

Munich

All Participants


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Carsten Schwemmer
Carsten Schwemmer is a Professor of Sociology and Computational Social Sciences at the University of Munich. His work focuses on applying computational methods to interdisciplinary research in areas such as ethnic minority & gender studies, digital media, political sociology, and sociotechnical systems. He is particularly interested in methods related to natural language processing, image recognition, data mining, and network analysis.
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Mario Haim
Since 2022, Mario Haim is a Professor and Chair of Communication Studies, especially Computational Communication Research, at LMU Munich. In both his research and teaching, He focusses mainly on topics of algorithmic influence. Employing methods common to Computational Communication Science, such topics include political communication, computational journalism, health communication, and algorithmic curation in media environments as well as general computational methods. After studying in Augsburg, Munich, and Helsinki, he gained his PhD at LMU Munich. Subsequently, Mario Haim was a Postdoctoral Fellow at the University of Stavanger, Norway, and an Assistant Professor (Juniorprofessor) at the University of Leipzig, Germany.
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Alexander Wuttke
Alexander Wuttke is the Juniorprofessor of Digitalization and Political Behavior at Ludwig Maximilian University of Munich. His research crosses disciplinary boundaries to explore democratic backsliding from the perspective of ordinary citizens. He is an advocate of Open Science practices and currently serves as the Journal of Politics’ Special Editor for Registered Reports.
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Raphael H. Heiberger
Raphael H. Heiberger is Tenure-Track Professor at the Institute for Social Sciences of the University of Stuttgart. He is head of the Computational Social Science lab. He received his PhD from the University of Bamberg (Germany, summa cum laude) and was visiting scholar at UCLA and a Fulbright-Fellow at UC Berkeley. He is a permanent member of the McFarland Lab at Stanford. Only recently, he was honored to become a Humboldt Fellow. His research is funded by the DFG Excellence Initiative, EU's Horizon programm, the BMBF, or the MKW in Baden-Württemberg. Besides various aspects of Social Network Analysis (dynamics, statistical modelling, theory), his research interests focus on applying Natural Language Processing and Machine Learning to social phenomena (e.g. career trajectories, markets and innovation, or political communication).
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Ágnes Horvárt
Ágnes Horvát is an Assistant Professor in Communication and Computer Science (by courtesy) at Northwestern University, where she directs the Technology and Social Behavior PhD program. Her research lies at the intersection of computational social science, social computing, and communication. Using interdisciplinary approaches from network and data science, her research group, the Lab on Innovation, Networks, and Knowledge (LINK), investigates how networks induce biased information production, sharing, and processing on digital platforms. For example, they study the impact of networks and diversity on scholarly communication, identify expressions of collective intelligence and opportunities for innovation in crowdsourcing communities, and develop tools to support creativity and predict success in culture industries. Professor Horvát received her PhD in Physics from the University of Heidelberg, Germany.
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Andreas Jungherr
Andreas Jungherr holds the Chair for Governance of Complex and Innovative Technological Systems at the Institute for Political Science at the University of Bamberg. He studies the impact of digital media and artificial intelligence on politics and society. He has worked on the uses of digital media and technology by publics, political actors, and organizations in international comparison. He also addresses challenges for scientific research in realizing the potential of digital methods and computational social science while addressing methodological challenges in its integration into the social sciences. He is author of the books 'Digital Transformations of the Public Arena' (with Ralph Schroeder, 2022) and 'Retooling Politics: How Digital Media are Shaping Democracy' (with Gonzalo Rivero & Daniel Gayo-Avello, 2020).
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Frauke Kreuter
Frauke Kreuter holds the Chair of Statistics and Data Science at LMU Munich, Germany and at the University of Maryland, USA, she is Co-director of the Social Data Science Center (SoDa) and faculty member in the Joint Program in Survey Methodology (JPSM). She is an elected fellow of the American Statistical Association, and received the Warren Mitofsky Innovators Award of the American Association for Public Opinion Research in 2020. In addition to her academic work, Professor Kreuter is the Founder of the International Program for Survey and Data Science (IPSDS), o-Founder of the Coleridge Initiative, and Co-Founder of the German language podcast Dig Deep.
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Jürgen Pfeffer
Jürgen Pfeffer is Professor of Computational Social Science at the Technical University of Munich. His research focuses on the analysis of large and dynamic socio-technical systems as well as the methodological, algorithmic and theoretical challenges that arise from these analyses. Pfeffer's research falls at the intersection of social and computer sciences.
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Stefanie Walter
Stefanie Walter is Emmy Noether Fellow at the Department of Governance, Technical University of Munich, where she directs the research group ‘The media portrayal of majority and minority groups’. Her methodological focus is on quantitative methods and computational social science with a special interest in automated text and image analysis. Stefanie’s substantive research interests are in the area of political, climate and science communication. Together with her team she uses large scale text and image data to explore how the news media report on social groups based on nationality, gender, disability, religion, and sexual orientation, as well as the visual representation of climate change on social media. Stefanie holds a PhD in Political Science from the University of Mannheim and has previously worked as researcher at the University of Bremen's the Centre for Media, Communication and Information Research, the Institute of Journalism and Communication at the University of Hamburg, and the Mannheim Center for European Social Research.
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Franziska Weeber
Franziska Weeber is a co-founder at textada, a machine learning-powered text annotation tool. Her work focuses on natural language processing and deep learning in low-resource social science applications. After her M.Sc. degree in Social and Economic Data Science, she held an Exist business start-up grant and was a research assistant at the University of Konstanz and the Heidelberg Academy of Sciences.
Image of Valerie Hase
Valerie Hase
Valerie Hase is a postdoctoral researcher at the Department of Media and Communication at LMU Munich. After studying at WWU Münster and the London School of Political Science and Economy, she obtained a PhD from the University of Zurich. Her research focuses on digital journalism, cross-platform perspectives, crisis communication, and computational social science, especially text-as-data and digital traces.
Bernhard Clemm von Hohenberg
(MPhil Oxford, PhD European University Institute) is a researcher at the Department of Computational Social Science at the GESIS Leibniz Institute for the Social Sciences. He previously worked as a postdoc in political communication at the University of Amsterdam. He is interested in how people seek out and process (mis)information, the effects of online behaviour on political attitudes, and psychological and behavioural asymmetries between ideological groups. Methodologically, he is interested in improving survey experiments and survey measurement, causal inference, and the use of digital trace data. He is the data editor at the journal Political Communication.
Jan Zilinsky
Jan Zilinsky is a postdoctoral research fellow and computational social scientist at the Technical University of Munich. He studies how citizens receive, organize and process economic and political information via digital media. He received his PhD from New York University's Department of Politics, and works with NYU's Center for Social Media and Politics (CSMaP).
Image of Renáta Topinková
Renáta Topinková
Renáta Topinková is a postdoc in Computational Social Sciences at LMU Munich. Her dissertation examined homophily patterns in online dating. She is interested in effective data visualization, text analysis, experiments, and social network analysis.
Image of Maria Camila Atehortúa
Maria Camila Atehortúa
Since March 2023, I am a research assistant at the Chair of Empirical Political Research and Policy Analysis. My academic work focuses on the area of defense, where I examine conventional armament transfers. Before assisting the Chair with research, I tutored Master students on the application of empirical political research methods, and instructed bachelor students about research designs in political science. I obtained my M.A. in PolSci at the LMU and my B.A. at the University of Mannheim.
Image of Paul Binder
Paul Binder
Since 2018, I am a student at LMU Munich, where I received my B. A. in Political Science and Economics in 2021 and I am currently enrolled in the Political Science Master’s degree. Additionally, I work as Research Assistant at the chair for Empirical Political Research and Policy Analysis. Here, I am involved in research projects focusing primarily on third-party interventions in civil wars as well as the armaments of warring parties and their effects on civil war intensity and duration.
Image of Maximilian Haag
Maximilian Haag
Max is a doctoral researcher in the EUPLEX project and a doctoral candidate at the Geschwister-Scholl-Institute of Political Science at LMU Munich. His research interests include legislative politics and decision-making in the EU. Additionally, Max is interested in automated data collection and exploring the possibilities of programming for producing transparent, reproducible and interactive research.
Image of Fabian Heindl
Fabian Heindl
Fabian Heindl is a research associate and doctoral student in the field of Citizenship Education at LMU Munich. He currently works in several different project groups focusing on the development of digital learning interventions to promote skills and knowledge on historical and political topics. His research interests include anti-racism education, Holocaust education, and the use of AI-based learning tools to enhance educational outcomes.
Image of Philipp Hoffmann
Philipp Hoffmann
I am a research associate at the Chair of Political Sociology at the Otto-Friedrich-University Bamberg. After completing my bachelor’s degree in political science at the University of Mannheim, I moved to the Otto-Friedrich-University Bamberg to successfully complete my master’s degree in political science and to study sociology. My research interests are located in the areas of quantitative methods with a particular focus on political behaviour, but also migration policy and immigration. I am doing my doctoral thesis on the political behaviour of the first and second generation of migrants.
Image of Tilman Kerl
Tilman Kerl
Tilman is currently in his second year of his Data Science Master's program at TU Wien and works part-time as a software engineer. He has worked on diverse projects in software engineering, data science and management consulting involving data management, -strategy, -engineering, ML, and NLP. In his free time, he volunteers for CorrelAid, attends concerts or goes bouldering. Particular research interests include bias detections in and XAI of LLMs.
Image of Johanna Klapproth
Johanna Klapproth
Johanna Klapproth studied communication science and is a PhD candidate and research associate in the interdisciplinary project 'HybriD – Real-Time Detection of Hybrid Disinformation Campaigns in Online Media' at the University of Münster. Her research focuses on identifying disinformation features and developing intervention strategies to curb the spread of disinformation campaigns, empower individuals in dealing with information and strengthen democratic resilience.
Image of Louise Koch
Louise Koch
Luise Koch is a PhD candidate at the Professorship for Global Health at the TUM School of Social Sciences and Technology. Luise's research focuses on the intersections between Gender Studies, Social Media Studies, Behavioraland Development Economics. In her dissertation she employs primary data and computational - and mixed methods to investigate the interrelations between online misogyny towards politically active women and response and prevention methods in Brazil, India and Germany.
Image of Julian Kohne
Julian Kohne
At GESIS, I’m part of the Designed Digital Data team, focusing on providing an easy to use, transparent and secure infrastructure for collecting mobile survey and smartphone usage data for social science research. As a PhD student at Ulm University, I am part of the molecular psychology lab and investigate how interpersonal relationships can be quantified using chat logs, specifically donated WhatsApp chat logs. I am developing interactive methods for transparent data donation methods, and investigate how social relationships are expressed through different communication patterns.
Image of Johanna Mehltretter
Johanna Mehltretter
Johanna is a PhD candidate and research associate at the Chair for Social Data Science and Methodology of the University of Mannheim. Since 2021, she works in a project on new data sources in migration and integration research. In her dissertation, she researches the challenges of using Google Trends data in the social sciences. Johanna holds a master’s degree in Sociology from the Otto-Friedrich-Universität Bamberg and a master’s degree in Sociology and Social Research from the University of Trento.
Image of Simon Möller
Simon Möller
Simon Möller received his Master's degree in Sociology and Economics from Ludwig Maximilian University in Munich in 2016. After a 2-year employment as project supervisor in environmental and energy management consulting, he has since 2018 been working as a PhD student and research assistant at the Institute for Sociology at the LMU Munich. There he is involved in the research project 'EffKom - energy-efficient residential comfort: user-oriented development of an automated system for the control of space heating'. Working in close cooperation with engineers and computer scientists he is particularly interested in user-oriented technology development and in in-depth data analysis to investigate human-technology interactions and their effects on energy consumption.
Image of Nadja Ozornina
Nadja Ozornina
Nadja Ozornina is a master's student at Ludwig Maximilian University of Munich. Her research interests include political communication, topic modeling, and the application of big data in communication research. In October 2023, she will join the team of the research project on the impact of humor in communication on political decision-making in the context of climate change (KLIMA-MEMES) at the Department of Media and Communication of LMU.
Image of Dylan Paltra
Dylan Paltra
My name is Dylan Paltra and I obtained my Bachelor’s degree in Political Science from the University of Mannheim in 2021. At the moment, I am finishing up my Master’s at the University of Zurich. My thesis investigates how citizens perceive their own online news media consumption in comparison to the actual media bias they encounter online. My general research interests revolve around the online political behavior of both citizens and elites. To gain a better understanding of this subject, I employ computational methods like machine learning and deep learning.
Image of Alexander Sobieska
Alexander Sobieska
Alexander Sobieska is a Ph.D. candidate at the Institute for the History and Ethics of Medicine at TU Munich, where he specializes in the ethics of AI and neuroscience, drawing upon his background in psychology, philosophy, and political science. His research interests include neuroethics, online radicalization, online political communication, and ethics discourse analysis.
Image of Lea Stallbaum
Lea Stallbaum
Lea Stallbaum is a doctoral researcher at the Johannes Gutenberg University Mainz in the DFG-funded project 'Conceptions of Democracy among Political Elites and Citizens'. Her research interests include regional differences in attitudes towards democracy, and the measurement of conceptions of democracy.
Image of Kateřina Turková
Kateřina Turková
Kateřina Turková is a researcher and associate lecturer at the Institute of Communication Studies and Journalism of Charles University, Czech Republic. She obtained her PhD and Master’s degree in media studies from the Faculty of Social Sciences of Charles University and her Master’s degree in economics and economic administration from the University of Economics in Prague. In her academic research, she focuses on issues associated with social media, sports, and quantitative research.
Image of Jonas Volle
Jonas Volle
Jonas Volle is a research assistant and doctoral student at Otto von Guericke University Magdeburg and works in the DFG project 'Networks, Paradigms and Careers in the Academic Field: Sociology in Germany and the United States' together with Prof. Richard Münch and Prof. Andreas Schmitz. His research interests lie in combining sociological perspectives and methodologies with computational social science approaches. In particular, he is interested in methods such as text mining, network analysis or machine learning in the field of sociology of science and their combination with relational theory and network theory.
Image of Phelia Weiss
Phelia Weiss
Phelia is a PhD student at the Department of Communication at the University of Vienna, Austria. Her research focuses on the relationship between misogyny and far-right extremism in online environments. She is particularly interested in media effects and radicalization dynamics within online communities.
Image of Bernd Wurpts
Bernd Wurpts
After graduate studies at the University of Washington, University of Leipzig, and University of Arizona, I started a Postdoc at the University of Lucerne in 2018. My qualification is mostly in sociology with emphasis on quantitative analyses of qualitative data. I consider myself a relational (network) thinker with a strong background in theory combined with expertise in computational social sciences, including fluency in R statistical programming language and environment. My work focuses on the intersections of economies and societies in various contexts and historical periods. One research focus is on the (network) foundations of economic, political and religious institutions in the Late Middle Ages and Early Modern Period. My latest work focuses on the contemporary global economy and social and political cohesion among corporate elites.
Image of Zhe Xu
Zhe Xu
Zhe Xu is a doctoral candidate pursuing research in computational journalism and humanitarian communication at the University of Cologne. His work focuses on applying interdisciplinary approaches and computational methods, such as Natural Language Processing and Machine Learning, to explore the impact of digital media, datafication, and artificial intelligence on political and public engagement related to global humanitarian issues.
Image of Birgit Zeyer-Gliozzo
Birgit Zeyer-Gliozzo
Birgit Zeyer-Gliozzo is a postdoctoral researcher at the chair of Social Structure and Sociology of Aging Societies at TU Dortmund University. She is currently working with an interdisciplinary team on the development and application of innovative methods from data science for social science research questions as part of the project From Prediction to Agile Interventions in the Social Science (FAIR). Her research interests include topics such as work and labor markets, education and training, health, social inequalities, and technological change.
Image of Johanna zum Felde
Johanna zum Felde
Johanna zum Felde is a Research and Teaching Associate in the division of International Communication at the Institute for Media and Communication Studies, Freie Universität Berlin. In her PhD research she examines how political communication can aid or prevent democracy in a changing French public sphere with qualitative research methods, text classification and machine learning. Previously she has been advocating the publication and use of open data with the Open Knowledge Foundation in Berlin.

NDSU

All Participants


Image of Shuning Lu, Ph.D.
Shuning Lu, Ph.D.
Shuning Lu is an Assistant Professor in the Department of Communication, North Dakota State University. Her research interests revolve around news use and effects, political communication, and digital journalism. Her recent projects explore social media news engagement, online incivility, and civic engagement with both observational and experimental data.
Image of Zoltan P. Majdik, Ph.D.
Zoltan P. Majdik, Ph.D.
Zoltan P. Majdik is an Associate Professor in the Department of Communication, North Dakota State University. His research interest lies in the field of rhetoric, with a focus on computational approaches to rhetorical texts. His recent projects explore how complex matters such as climate change are framed in policy discourse, and on how to build machine learning models for classifying complex rhetorical language-structures.
Image of Leslie A. Laam, Ph.D.
Leslie A. Laam, Ph.D.
Leslie A. Laam is an Assistant Scientist-Manager with the Center for Bio-behavioral Research at Sanford Research in Fargo, ND. Prior to her role in research, Leslie spent 15 years working in applied analytics in clinical settings that ranged from evaluation of improvement initiatives to advanced analytics of business operations related to patient care and safety. Her current research interests are in utilizing statistical methods that clearly bridge healthcare practice and research.
Image of Khang Hoang, Ph.D.
Khang Hoang, Ph.D.
Khang Hoang is the Interim Executive Director and a Research Facilitator in the NDSU Center for Computationally Assisted Science and Technology (CCAST), and an adjunct faculty in the NDSU Department of Physics. His research involves physics, chemistry, and materials science. As a research facilitator, he advises other researchers on the application of high-performance computing in various research fields.
Image of Dane Mataic, Ph.D.
Dane Mataic, Ph.D.
Dane Mataic’s research explores the intersection of mobilization, international conflict, and social inequalities. Broadly, he applies organizational and community theories to address topics as wide ranging as the spread of governmental policies that regulate religious organizations, the mobilization of religious members by American churches, and the spread of religious bias and advocacy.
Image of Dan Pemstein, Ph.D.
Dan Pemstein, Ph.D.
Dan Pemstein is a Professor of Political Science & Public Policy at North Dakota State University. He is a comparative political economist and methodologist who studies challenges that digital networks pose to democracy and develops tools to better measure qualities of democratic institutions. He is co-director of the Digital Society Project, co-developer of the Unified Democracy Scores, co-author of the Scythe Statistical Library, and serves as project manager for measurement methods, and steering committee member, for the Varieties of Democracy project.
Image of Yini Zhang, Ph.D.
Yini Zhang, Ph.D.
Yini Zhang is an assistant professor in the Department of Communication at the University at Buffalo, State University of New York. She uses computational methods and big data to study social media and political communication. Her current research program centers around three questions: 1) within social media, how people express themselves and interact with each other, 2) as an ecosystem, how social media platforms relate to one another in terms of the flow of information, and 3) beyond social media, what can influence and be influenced by communication and interaction on social media.
Image of Alvin Zhou, Ph.D.
Alvin Zhou, Ph.D.
Alvin Zhou is an Assistant Professor at the Hubbard School of Journalism and Mass Communication at the University of Minnesota Twin Cities. His research centers around computational social science and strategic communication (advertising, public relations, audience analytics, and organizations), and advocates the diversity of data sources, substantive foci, and methodological toolkits in computational work.
Image of Lee-Anne Andre
Lee-Anne Andre
Lee-Anne Andre is a current masters student in her hometown at the University of North Carolina at Charlotte studying sociology. Her goal is to work in public policy or non-profit research. Outside of school she loves video games, baking, and hanging out with her cats.
Image of Dan Card, Ph.D.
Dan Card, Ph.D.
Dan Card is an assistant professor in the Department of Writing Studies at the University of Minnesota-Twin Cities, where he teaches courses in technical communication and rhetoric. Broadly speaking, his research explores the complex relationship between communication, technology, and the production and circulation of information and arguments in digital environments.
Image of Yuan Cheng, Ph.D.
Yuan Cheng, Ph.D.
Yuan (Daniel) Cheng is an assistant professor in the Humphrey School of Public Affairs at the University of Minnesota. Daniel's research agenda is focused on a range of theoretical and managerial questions lying at the nexus of governance, government-nonprofit relationships, co-production, and the distributional and performance implications of cross-sector collaboration.
Image of Nick Dusek
Nick Dusek
Nick Dusek is a Research Computing Facilitator at North Dakota State University's Center for Computationally Assisted Science and Technology, where he assists faculty, staff, and students in leveraging high-performance and advanced computing resources for research and teaching.
Image of Ke (Kay) Fang
Ke (Kay) Fang
Ke (Kay) Fang is a master's candidate at New York University. With a strong interest in the complex social dynamics of political polarization and social norm shift, he combines social psychology with computational techniques such as NLP, network science, and computational cognition to investigate the underlying mechanisms driving these phenomena.
Image of Matthew Goldsmith
Matthew Goldsmith
Matthew Goldsmith recently completed his first year as a Ph.D. student in the Department of Communication at North Dakota State University. His research interests include political messaging and news coverage on social media.
Image of Adamu Timothy Jaafaru
Adamu Timothy Jaafaru
Pursuing a DBA at Metro State University, Tim leverages his MIS Master's and over 20-year banking sector experience in corporate financial systems. He also shares his expertise as an adjunct professor at Minnesota State Community College.
Image of Haley Netherton-Morrison
Haley Netherton-Morrison
Haley Netherton-Morrison is a Ph.D. Candidate in Ecology, Evolution, and Behavior at Boise State University. Her research interests focus on the application of social science theory to natural resource issues and the promotion of sustainable working landscapes. Currently, she seeks to understand public perceptions to inform decision-making in changing landscapes.
Image of Nathaniel Pagel
Nathaniel Pagel
Nathaniel Pagel is a doctoral student in experimental/general psychology at the University of North Dakota. He teaches abnormal psychology and enjoy hiking. Currently, he is interested in combining IOT with non-invasive neuromodulation techniques to address mental health concerns and improve continuity of mental health care.
Image of Yan Qu, Ph.D.
Yan Qu, Ph.D.
Yan Qu is an incoming Assistant Professor in the Department of Communication at the University of Maryland College Park. His research takes a social network perspective to examine public relations issues, with a focus on personal social networks and public engagement. Yan formerly worked as a postdoctoral associate at the University of Minnesota.
Image of Zakia Sabnam
Zakia Sabnam
Zakia Sabnam is a master’s student in the Communication department at North Dakota State University. She is an enthusiast of all things related to cyberspace and AI. With a deep curiosity for the online world, Zakia's research interests revolve around exploring the fascinating and dynamic subcultures that exist within cyberspace.
Image of Brule Woods
Brule Woods
Brule Woods recently graduated from North Dakota State University with a Masters in Communication, and is now an incoming Ph.D. student of Mass Communication at University of Wisconsin, Madison. His main line of inquiry is on the priming effects of memes on people's perceptions and actions regarding political issues, and has a strong interest in the effects of social media use.

NYU Shanghai

All Participants


Image of Xiaogang Wu
Xiaogang Wu
Xiaogang Wu is Yufeng Global Professor of Social Science, the founding Director of the Center for Applied Social and Economic Research (CASER) at NYU Shanghai, and Professor of Sociology at New York University. He received his Ph.D. in sociology from UCLA and has taught in the Hong Kong University of Science and Technology for 17 years before he joined NYU Shanghai in 2020. One of the CASER's focal areas of research is computational social science. His own research interests include social stratification and mobility, education, urban sociology, survey and quantitative methods.
Image of Yongjun Zhang
Yongjun Zhang
Yongjun Zhang is an Assistant Professor of sociology and institute for advanced computational science at Stony Brook University. Dr. Zhang's work combines statistical, network, and computational methods with big data to study social, political, and organizational behavior in the US and the globe. His current projects focus mainly on understanding human mobility, segregation, and polarization using near-population voter and consumer records, social media texts and images, and large-scale GPS data. He received his Ph.D. in sociology from the University of Arizona.
Image of Yongen Shi
Yongen Shi
Yongren Shi is an Assistant Professor of sociology at the University of Iowa. The foundation of his research is the sociological study of human behavior and group dynamics with an focus on social and cultural processes of polarization. He extensively uses large-scale digital trace data and a range of computational methods, including network analyses, computational textual analyses, agent-based models, machine learning, and online experiments. He was a post-doctoral research associate at the Yale Institute for Network Science after receiving my Ph.D. in sociology from Cornell University.
Image of Bart Bonikowski
Bart Bonikowski
Bart Bonikowski is an Associate Professor of Sociology and Politics at New York University and a Faculty Affiliate at NYU’s Center for Data Science. Relying on survey methods, computational text analysis, and experimental research, his work applies insights from cultural sociology to the study of politics in the United States and Europe, with a particular focus on nationalism, populism, and the rise of the radical right.
Image of Nicholas Christakis
Nicholas Christakis
Nicholas A. Christakis, MD, PhD, MPH, is a social scientist and physician at Yale University who conducts research in the fields of network science, biosocial science, and behavior genetics. His current work focuses on how human biology and health affect, and are affected by, social interactions and social networks. He directs the Human Nature Lab and is the Co-Director of the Yale Institute for Network Science. He is the Sterling Professor of Social and Natural Science at Yale University, appointed in the Departments of Sociology; Medicine; Ecology and Evolutionary Biology; Biomedical Engineering; and the School of Management.
Image of Esteban Moro
Esteban Moro
Esteban Moro is a Reseach Scientist in Connection Science, an associate professor at the Universidad Carlos III de Madrid in Spain, and a member of the Joint Institute UC3M Santander on Financial Big Data. He researches the intersection of big data and computational social science with special attention to human dynamics, collective intelligence, social networks, and urban mobility in problems like viral marketing, natural disaster management, and economic segregation in cities. His work has been featured in The Atlantic, The Washington Post, and The Wall Street Journal.
Image of Laura Nelson
Laura Nelson
Laura Nelson is an Assistant Professor at University of British Columbia who uses computational methods – principally text analysis, natural language processing, machine learning, and network analysis techniques – to study social movements, culture, gender, and organizations and institutions. She has developed and taught courses introducing social science and humanities students to computational methods and the scripting languages Python and R, data science courses, and graduate-level sociological theory. She is currently a co-PI on a million-dollar grant through the National Science Foundation to study the spread of gender-equity ideas related to STEM fields through higher education networks, primarily in the United States.
Image of Minsu Park
Minsu Park
Minsu Park is an Assistant Professor of Social Research and Public Policy at New York University Abu Dhabi (NYUAD) and an Affiliate Faculty at the Center for Data Science at New York University (NYU). He works in computational social science with a specialization in the consumption of culture, production of creative work, and social networks. His current research focuses on how informational and normative cues interact with an individual's preference to make a certain decision and how cultural preferences change over time—individually and globally. His research inhabits an interdisciplinary nexus between data science and social science, simultaneously drawing on and contributing to both. His work has been published in top-tier computer and information science conferences (e.g., ICWSM) and interdisciplinary journals (e.g., Nature Human Behaviour).
Image of Han Zhang
Han Zhang
Han Zhang is an Assistant Professor in Division of Social Science, The Hong Kong University of Science and Technology (HKUST). His research spans computational social science, social movements, social networks, and quantitative methods. His current projects focus on protests in China and global surveillance and its social impact.
Image of Hong Chen
Hong Chen
Hong Chen is a PhD student at the School of Information at University of Michigan. He studies science of science and innovation and he is currently working on how scientists cite, collaborate, and navigate publishing landscape. He is also interested in science communication, information diffusion and large language models.
Image of Jia Chen
Jia Chen
Dr. Jia Chen got her PhD degree from University of Hong Kong. She is currently an Associate Professor at Department of Social Work, Shanghai University. Her study interest includes intergenerational relationship, family care and medical and family social work.
Image of Xi Cheng
Xi Cheng
Xi Cheng is a sociology Ph.D. student at Northwestern University. She earned her master’s degree in computational social science from the University of Chicago and holds dual bachelor's degrees in electrical engineering from the University of Missouri and Beijing Jiaotong University. Cheng’s research lies in the intersection of computational methods, culture, education, social theories, stratification and social mobility, and urban sociology.
Image of Esol Cho
Esol Cho
Esol Cho is a lecturer in the Department of International Studies at Xi'an Jiaotong-Liverpool University. She received her PhD in Political Science at the State University of New York at Binghamton in 2022. Her research concerns the influence of domestic political and economic considerations on foreign aid choices using computational methods.
Image of Lin Qi
Lin Qi
Lin Qi is a Ph.D. student in the Crawford School of Public Policy at Australian National University. His research interests broadly center around financial contagion, financial liquidity, commodity market, and financial literacy. He earned B.A. in international economics and trade from Nankai University and M.S. in financial and econometrics from Queen Mary, University of London.
Image of Marco Laghi
Marco Laghi
Marco Laghi is a PhD student at the Center for Applied Social and Economic Research (CASER) at NYU Shanghai and the Department of Sociology at NYU. His research involves education, population health and development, and stratification.
Image of Lizhen Liang
Lizhen Liang
Lizhen Liang is a doctoral student at Syracuse University, School of Information Studies. His research interest includes computational social science, science of science, natural language processing, and ethics in AI.
Image of Yang Lu
Yang Lu
Yang Lu is a Data Analyst - Social Science Research at Brandeis University and for the diversitydatakids.org project. Utilizing a wide range of computational tools, Yang works on the indicator development and pipeline maintenance of Child Opportunity Index, a metric that maps the quality of resources for children, and sparks conversations about unequal access to opportunity and to spur actions to increase equity. Yang earned his Master's in Education Policy and Analysis from Harvard University and Bachelor's in Economics and Urban Studies from McGill University. Before graduate school, he was a Dean’s Fellow of New Students and Diversity at the Office of Student Life of NYU Shanghai.
Image of Zheng Ma
Zheng Ma
Zheng Ma is a PhD student in Social Policy and Government at Harvard Kennedy School. He completed his undergraduate studies at the University of Wisconsin Madison and a Master's degree at the University of Chicago, where he focused on Political Economy, Macroeconomics, and computational tools.
Image of Lingbo Tong
Lingbo Tong
Lingbo Tong is a Ph.D. student in the joint program of Psychology and Computer Science at the University of Notre Dame. Her research centers on building interpretable, human-centered AI in the areas of psychology and education. She is currently working on developing language models that offer mental health support to the public. She is also interested in enhancing structural equation models with deep learning techniques. Previously, she received her bachelor's degree in Computer Science at Sichuan University.
Image of Qi Wang
Qi Wang
Qi is a Research Assistant Professor at Lingnan University, Hong Kong. She obtained a PhD degree from the University of Hong Kong. Her research interests span spirituality and religious studies, mindfulness, and psychological well-being. She uses topic modeling and textual analysis to examine participants' daily mystical experiences and the higher level of human consciousness.
Image of Hao Wang
Hao Wang
Hao is a Ph.D. candidate in the Department of Government and Public Administration at the Chinese University of Hong Kong. He passed his oral defense on May 31, 2023 and will be joining the City University of Hong Kong as a postdoctoral researcher, starting in August 2023. His research interests encompass contentious politics, digital petition channels, elite politics, computational social science, and survival analysis.
Image of Huan Wang
Huan Wang
Huan Wang is a PhD student in Psychology at Stanford University. He is broadly interested in cultural variations of emotion and decision making, and their underlying neural mechanisms. His recently work examines neural predictors of interpersonal trust and how they vary across cultural context. Prior to Stanford, he worked at UCLA and UC Davis. He received his bachelor degree at Simon Fraser University in Canada.
Image of Junliang Xu
Junliang Xu
Junliang Xu is a master student in East Asian Studies at Stanford University. His research focuses on political sociology, conflict, and mixed methods. He is currently working on the mobilization process of the Cultural Revolution. Previously, he studied institutional changes under drastic rebellion in the late Qing Dynasty using longitudinal models. He holds BFA and LLB from Tsinghua University.
Image of Wei Yang
Wei Yang
Wei is a master student in Information Science at Cornell University, her research interest includes demography, spatial inequality and urban data science. She earned bachelor’s degrees in HCI and Sociology from University of Washington.
Image of Shuangshuang Yang
Shuangshuang Yang
Shuangshuang Yang is a PhD student in Sociology at Boston College. Her main research interests include gender, family, the life course, and health. Her current project focuses on the spillover effects of sibling disability. She is also interested in applying text and image analysis to explore online dating patterns.
Image of Xiaohan Yin
Xiaohan Yin
Xiaohan is now a PhD student at the University of Hong Kong. She also got her LLM degree at HKU with full scholarship after finishing LLB from China University of Political Science and Law. Her research interests lie in the law and technology, legal professions and empirical studies of law.
Image of Enshuai Yu
Enshuai Yu
Enshuai Yu is a Ph.D. student in accounting at Carroll School of Management, Boston College. He earned a master’s degree in finance from Shanghai Advanced Institute of Finance, Shanghai Jiao Tong University in 2021, and bachelor’s degrees in accounting and psychology (dual degree) from Peking University in 2019. His research interests lie in the intersection of archival financial accounting and taxation, covering topics like regulation and enforcement, tax, corporate governance, and information disclosure.
Image of Nuo Yuan
Nuo Yuan
Nuo Yuan's research interest spans both the methodological and substantive aspects of computational social science. Methodologically, he is interested in topics such as sequential experimental design and causal inference in networks. Substantively, he has been working on projects related to sustainability and inclusivity at the corporate and supply chain levels.
Image of Yiwen Zeng
Yiwen Zeng
Yiwen Zeng is an incoming PhD student in Sociology at the University of Arizona. Prior to that, she completed her master’s degree at the London School of Economics and Political Science (LSE) and bachelor’s degree at Peking University. Basically, Yiwen’s research interest lies in understanding the social and organizational process of evaluation, especially in the labor market, and the sociological foundation of workplace inequality. Particularly, she is interested in investigating to what extent the ideal of meritocracy can be fulfilled in evaluation, and whether and how non-meritocratic elements could be blended in given specific institutional settings. Methodologically, she intends to deploy experimental study, audit study and text analysis to examine the questions above.
Image of Mengqi Zhan
Mengqi Zhan
Mengqi Zhan is an Assistant Professor of Communication at University of Texas at Arlington. She received her PhD from the Department of Communication at University of Maryland College Park. As an organizational communication researcher, she primarily studies the communicative processes that occur within and around organizations, including employee communication and corporate communication on social media. She is currently developing a new research stream that examines employee communication on anonymous social media platforms.
Image of Shiyi Zhang
Shiyi Zhang
Shiyi Zhang is a PhD student in Media and Communication at University of Leicester. He is broadly interested in health communication, misinformation, social media and computational social science. His current PhD project analyses factors associated with individuals' acceptance of mental health misinformation on social media.
Image of Haowen Zheng
Haowen Zheng
Haowen Zheng is a PhD student in sociology at Cornell University. Using quantitative and computational methods, her research projects center around social stratification and mobility, demography, spatial inequality, and gender inequality in the labor market.
Image of Yichun Zhou
Yichun Zhou
Yichun Zhou is a doctoral student in Urban Systems at New York University and the Shanghai Key Laboratory of Urban Design and Urban Science (LOUD). His research interests include urban data science, social sensing, and green infrastructure. He applies novel research methods to explore the social inequality, and potential recategorizing of urban parks.
Image of Zhi Li
Zhi Li
Zhi Li is a PhD student in the Center for Applied Social and Economic Research (CASER) at NYU Shanghai and in the Department of Sociology at New York University. His research focuses on social inequality, networks and organizations, life course, and computational social science. He tries to analyze how social networks and organizations can shape social inequality across people’s life course and during social changes. His work has appeared in International Journal for Equity in Health, Social Psychiatry and Psychiatric Epidemiology, and Social Indicators Research.
Image of Conor McCutcheon
Conor McCutcheon
Conor McCutcheon is a PhD student at the Center for Applied Social and Economic Research (CASER) at NYU Shanghai and the Department of Sociology at NYU. His research interests include social stratification, educational inequality, and social networks. His work focuses on the impact rapid economic development can have on social structure, particularly elite formation.

NYU Silver

All Participants


Image of Marya Gwadz
Marya Gwadz
Marya Gwadz is Associate Dean for Research, Professor, Director of the Intervention Innovations Team Lab (IIT-Lab), and Interim Director of the C+M Silver Center at NYU Silver. She also serves as an Associate Director in the Transdisciplinary Research Methods Core in the NIDA-funded Center for Drug Use and HIV Research (CDUHR) at NYU School of Global Public Health. The main focus of Dr. Gwadz's research is the development and evaluation of potent, innovative, and culturally salient social/behavioral interventions to address racial/ethnic, socioeconomic, and gender inequity in health. Dr. Gwadz is an expert on the multiphase optimization strategy (MOST), a framework for developing efficient and cost-effective interventions with no inactive, poorly performing, or counter-productive elements. She is also an expert on adaptive trial designs, including sequential multiple assignment randomized trials (SMART).
Image of Amanda Ritchie
Amanda Ritchie
Amanda Ritchie is a Director of Operations of the NYU Silver School of Social Work’s Constance and Martin Silver Center on Data Science and Social Equity (C+M Silver Center). In this role, Amanda provides strategic operational oversight to the C+M Silver Center that supports NYU Silver scholars conducting work in data science for social equity impact and in studies harnessing big data.
Image of Nari Yoo
Nari Yoo
Nari Yoo is a PhD student in the Silver School of Social Work at New York University. Her interests include mental health in immigrant/refugee communities, minority mental health, mental health disparities, and advocacy. She is also interested in using text as data and electronic health records in social work research, with a focus on mental health and mental health services.
Image of Minerva Tantoco
Minerva Tantoco
Minerva Tantoco is an Innovator, investor, startup founder, author, advisor, and speaker on Ethical AI, cybersecurity, fintech and healthtech. Tantoco served as New York City’s first-ever Chief Technology Officer (CTO). Based on her efforts, New York City was named "2016 Best Smart City" and helped launch initiatives such as LinkNYC, CSforAll, and Internet of Things Guidelines, as well as promoting an inclusive, equitable tech ecosystem. Ms. Tantoco also served as Senior Product Manager at Palm, Chief Technology Officer at Merrill Lynch and UBS, and holds four US patents on intelligent workflow. Tantoco serves as a Trustee of the New York Hall of Science (nysci.org), Board of Directors, Vyv, Board Advisor to One Creation Embedded Privacy and Socure, and is currently Chief AI Officer at NYU McSilver Institute.
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Jennifer Hill
Jennifer Hill is a Professor of Applied Statistics and Data Science at New York University. She is the Co-Director of the Center for Practice and Research at the Inersection of Information, Society and Methodology (PRIISM), and Co-Director of the Masters of Science Program in Applied Statistics for Social Science Research (A3SR). Dr. Hill develops and evaluates methods to help answer the types of causal questions that are vital to policy research and scientific development.
Image of Constantine E. Kontokosta
Constantine E. Kontokosta
Constantine E. Kontokosta, PhD, is an Associate Professor of Urban Science and Planning and Director of the Civic Analytics program at the NYU Marron Institute of Urban Management. He also directs the Urban Intelligence Lab and holds cross-appointments at the Center for Urban Science and Progress (CUSP) and the Department of Civil and Urban Engineering (CUE). He is affiliated faculty at the Wagner School of Public Service. Previously, he served as the inaugural Deputy Director of CUSP and Assistant Professor of Urban Informatics at CUSP and CUE, where he was part of the Center’s founding leadership team and designed, launched, and directed one of the first graduate programs in urban informatics.
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Rumi Chunara
Rumi Chunara, PhD is an Associate Professor at NYU, where she directs the Center for Health Data Science. She is jointly appointed at the School of Global Public Health (in Biostatistics) and the Tandon School of Engineering (in Computer Science). Dr. Chunara's research focuses on developing computational and statistical approaches for acquiring, integrating and using data to improve population and public health. With her focus on public health, Dr. Chunara’s work covers individual, collective, environmental, and organizational factors that impact human populations. Her interdisciplinary approach incorporates data from social media, mobile phones, and other sources to address public health challenges and advance computer science.
Image of Ravi Shroff
Ravi Shroff
Ravi Shroff, PhD is an Assistant Professor at the Department of Applied Statistics, Social Science, and Humanities (ASH) at New York University's Steinhardt School, with an affiliated appointment at New York University's Center for Urban Science and Progress (CUSP). He is an affiliated researcher at the Stanford Computational Policy Lab, and a member of the Machine Learning for Good Lab at NYU. His interests are broadly related to computational social science, and in particular the development and application of statistical methods to measure and improve the equity and efficiency of decision-making.
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Sadiq Patel
Sadiq Patel, PhD is a data scientist and health technologist with experience in health AI, health data, and health economics. He currently works at Waymark, a health technology startup, where he leads a team that designs, builds, and deploys AI-informed data science products to improve care delivery for people receiving Medicaid. Sadiq has held research fellowships at Harvard Medical School and Microsoft AI for Good, worked as a senior product manager and team lead at Accenture, and taught through Teach for America. He holds a PhD and MS in Social Policy and Biostatistics from The University of Chicago and an MSW from the University of Michigan. He is also an Adjunct Professor at the University of Pennsylvania, teaching graduate level machine learning courses.
Image of Alicia Boyd
Alicia Boyd
Alicia Boyd, PhD is a Postdoctoral Researcher at NYU PRIISM Center and a Quantitative Reflexive Intersectional Researcher. She is an expert in developing workflows, locating data from the margins, and bringing it into central focus while navigating data-centric processes. In addition, she brings an encyclopedic knowledge about the history, theoretical frameworks, and reflexive-intersectional methodological applications and the opportunities and challenges of applying it within quantitative domains.
Image of Patrick Y. Wu
Patrick Y. Wu
Patrick Y. Wu, PhD, is a postdoctoral fellow at New York University’s Center for Social Media and Politics. Dr. Wu develops text-as-data/NLP and machine learning methods for computational social science questions. His current research focuses on measurement using text and social media. He received his PhD in Political Science and Scientific Computing and MA in Statistics at the University of Michigan.
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Nicholas Wolf
Nicholas Wolf, PhD is a research data management librarian in NYU Data Services and affiliated faculty of Glucksman Ireland House. He has a PhD in history with research specialties in Irish and British history, digital history, and historical research data.
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Michelle Thompson Gumbs
Michelle Thompson Gumbs is a Senior Geographic Information Systems Specialist at NYU Data Services. She has an academic background in Criminal Justice, Geospatial Intelligence Analytics, and Psychology.
Image of Megan A. Brown
Megan A. Brown
Megan A. Brown is a research scientist/data engineer for the NYU Center for Social Media and Politics. Megan's research is centered on the online information ecosystem. As a research engineer, Brown collects and maintains large-scale collections of social media and digital trace data for the purposes of social science research. In her research endeavors, she studies cross-platform media manipulation, political bias in algorithmic systems, and the effect of platform governance and moderation policies on the spread of political content.
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Vicky Rampin
Vicky Rampin is the Librarian for Research Data Management and Reproducibility and the subject specialist for data science and computer science at New York University. Vicky supports researchers of all levels and disciplines in creating well-managed, reproducible scholarship through instruction, consultation, outreach, and infrastructure building. Her research centers on data and software preservation in service of long-term reproducibility, as well as how best to individualize reproducibility best practices. They loves all things open and contributes to a number of open projects as a part of her job at NYU and in her spare time.
Image of Nathan Storey
Nathan Storey
Nathan Storey is the Director of the Street Homeless Solutions Lab at the NYC Department of Homeless Services. His work includes software design, database management, and data science. Nathan has a Masters in Urban Planning from Hunter College, where he focused on GIS, civic engagement, and civic technology.
Image of Zezhen (Michael) Wu
Zezhen (Michael) Wu
Zezhen (Michael Wu) is a doctoral student in Psychology and Social Intervention at New York University. He studies how theory-driven psychological interventions buffer students against various situational and environmental threats, stigma, and discrimination. Prior to NYU, he earned an EdM in Arts in Education from Harvard University and an Mphil in Evidence-based Social Intervention and Policy Evaluation from the University of Oxford.
Image of Jemel Aguilar
Jemel Aguilar
Jemel Aguilar is Associate Professor at Fordham University and teaches social work practice. He authored the forthcoming books “Practicing human behavior in the social environment with people and populations” and “Social Work Practices, Perspectives, and Opportunities in the Global World.” Jemel taught himself data science, python and R programming.
Image of Hamid Akbary
Hamid Akbary
Hamid Akbary is a Postdoctoral Fellow in the Department of Sociology at the University of Calgary. He was previously a SSHRC Doctoral Fellow at the University of Calgary (2016-2022) and a Fulbright Fellow at Lehigh University (2013-2015). One of his postdoctoral research projects uses over two decades of textual data from Canada's House of Commons debates to examine the types of sentiments expressed by members of the parliament about immigrants in general and Muslim minorities in particular. In addition to his academic affiliation, he works as a data analyst for Statistics Canada, Government of Canada.
Image of Brianna Amos
Brianna Amos
Brianna is currently pursuing a PhD in social work at the NYU Silver School of Social Work. Her research interests are rooted in understanding mental health disparities in Black communities. She is specifically interested in factors influencing Black Americans’ decisions to engage with formal mental health services, such as cultural stigma.
Image of Leeam Azoulay
Leeam Azoulay
Leeam Azoulay is a doctoral student at the Rutgers School for Communication and Information. Prior to starting her PhD, she worked for human rights and humanitarian organizations internationally, mostly in advocacy roles. Her research interests focus on how tech impacts human rights and political expression in the global south, primarily in sub-Saharan Africa and the Middle East. This includes a range of issues including disinformation, censorship, surveillance, and content moderation by social media platforms.
Image of Daniel Baslock
Daniel Baslock
Daniel Baslock is a social worker and a PhD candidate at New York University’s Silver School of Social Work. He researches mental health and substance use treatment organizations, drawing on implementation science frameworks to understand how payment strategies and social policies impact adoption of evidence-based practices.
Image of Yuanyuan Hu
Yuanyuan Hu
Yuanyuan Hu is a PhD Candidate at NYU Silver School of Social Work and a licensed clinical social worker in New York State. Her research focuses the implementation of strategies to integrate mental health services and non-mental health settings for underserved older adults, especially older Asian immigrants.
Image of Khadija  Israel
Khadija Israel
Khadija is currently a doctoral student at Silver School of Social work at NYU, whose research interests include developing evidence-based non-pharmacologic treatment intervention in conjunction with intensive case management services and harm reduction to address SUD in high risk patients with co-occurring disorders within inpatient settings.
Image of Tina Kilaberia
Tina Kilaberia
Tina Kilaberia is an Assistant Professor at NYU Silver School of Social Work. Her research focuses on social isolation among older adults and their caregivers, age-friendly congregate settings, and elder mistreatment.
Image of Abraham Liddell
Abraham Liddell
Abraham Liddell is a postdoctoral research fellow in the Data Science Institute at Columbia University. His research leverages social network analysis and machine learning to study social change over time.
Image of Hao Lin
Hao Lin
Hao Lin is a doctoral student in the Stony Brook Sociology department, where she is also affiliated with the Institute for Advanced Computational Science. Her current research examines public sentiment during the Covid-19 pandemic on social media using computational methods. She is also interested in AI ethics, particularly health data and AI in health care. She holds a B.A. from the Central University of Finance and Economics, China, and an MSc in sociology from Utrecht University, the Netherlands.
Image of Michelle Marji
Michelle Marji
Michelle is a PhD student in Social Psychology in the Niedenthal Emotions Lab at the University of Wisconsin-Madison. Her research investigates large-group movement through space, interpersonal synchrony, belonging, trust, and human robot interaction. Her goal is to examine issues of equity and social justice, and engage in community-centered collaborative research. Outside of the lab, Michelle is a dance artist and rock climber.
Image of Samuel Mendez
Samuel Mendez
Samuel Mendez is a PhD candidate at the Harvard T.H. Chan School of Public Health. Their dissertation is focused on expanding the scope of health literacy research through connections to natural language processing methods and media studies theory. Samuel draws on their background in media studies and animation to rethink health communication, with the goal of contributing to a more equitable future.
Image of Rohini Pahwa
Rohini Pahwa
Rohini Pahwa is an Associate Professor and the Director of the Ph.D. Program at NYU Silver School of Social Work. As a mental health researcher, Rohini examines the process of community integration and the influences of individual and systemic factors on social networks, community integration and mental health outcomes for individuals with severe mental illnesses through qualitative, quantitative, and social network methodologies.
Image of Michael	Park
Michael Park
Michael Park is an Assistant Professor at the School of Social Work at Rutgers University. His research focuses on understanding how racial discrimination and its related stressors (e.g., racial stereotypes) contribute to disparities in mental health and mental health service utilization among Asian American immigrant youth.
Image of Krushika Patankar
Krushika Patankar
Krushika is a doctoral student at NYU Silver and graduate research assistant at the NYU Center on Violence and Recovery. Her research is informed by clinical practice in restorative work and lived experiences in a services devoid context, wrapping around intimate partner violence (IPV) service delivery to underserved populations, intersections with child protective services, and intervention and implementation science.
Image of Juan Rios
Juan Rios
Dr. Juan Rios is a social work professor, licensed Clinical Social Worker and researcher passionate about democratizing Foresight training, Afro-Futures, and Design Justice. By envisioning equitable futures through creativity and critical thinking, Dr. Rios empowers marginalized voices to shape compassionate, human centered transformative possibilities centered around love.
Image of Aaron Rodwin
Aaron Rodwin
Aaron Rodwin is a PhD Candidate at NYU’s Silver School of Social Work. Aaron’s research interests focus on mental health services and interventions for marginalized young adults experiencing serious mental illnesses. Aaron’s has a particular interest in music-based interventions as a youth-oriented tool to improve engagement and recovery.
Image of Haniya Rumaney
Haniya Rumaney
Haniya Rumaney is a PhD student in Basic and Applied Social Psychology at the Graduate Center, CUNY. In the past, she has employed survey experiments and other methodology to study the antecedents and consequences of religious identity and discrimination from the target’s perspective. She is hoping to leverage computational social sciences to study these phenomena from the perspective of stigma perpetrators in India and the US.
Image of Olivia Weng
Olivia Weng
Olivia Weng is a PhD student in Public Health Sciences at Washington University in St. Louis. Her research focuses on health education and health communication on chronic disease prevention. Currently, Olivia is interested in studying data from various social media platforms. Before her PhD study, Olivia worked in a local health department dealing with cancer prevention and control.
Image of Yuanyuan Yang
Yuanyuan Yang
Yuanyuan Yang is a doctoral student and research associate at the Brown School of Social Work, Washington University in St. Louis. Her research focuses on the impact of asset-based poverty policy on child mental well-being. She received her B.M. from Beijing Normal University and her MPA in public policy from New York University. Prior to her doctoral studies, she worked as a research assistant at the McSilver Institute for Poverty Policy and Research at New York University and China Center for Social Policy at Columbia University.
Image of Meng-Hsuan Yu
Meng-Hsuan Yu
Meng-Hsuan Yu is a Ph.D. student at the University of Maryland School of Social Work. Her research explores how to identify child maltreatment and improve child protective services using big data analytics. Before her Ph.D. study, she worked as a research associate at the National Taiwan University and at the Ministry of Health and Welfare, Taiwan. Leveraging child welfare administrative data, she utilized tree decision models and topic modeling to refine the child maltreatment screening system to identify children at risk. She is now working on a project using Maryland Child Welfare administrative data to explore the kinship foster care services in Maryland.

ODISSEI

All Participants


Image of Tom Emery
Tom Emery
Dr. Tom Emery is the Deputy Director of ODISSEI, where he is responsible for the strategic development of the infrastructure and international collaborations. Emery is an Associate Professor in the Department of Public Administration and Sociology of Erasmus University Rotterdam. Before that, he was the Deputy Director of the Generations and Gender Programme (GGP) at the Netherlands Interdisciplinary Demographic Institute in The Hague. Emery gained a PhD in Social Policy from the University of Edinburgh in 2014 and his thesis examined the interaction between financial support between elderly parents and their adult children in a number of European countries. His research also covers questions of comparative survey methodology and policy measurements in multilevel contexts.
Image of Paulina Pankowska
Paulina Pankowska
Dr. Paulina Pankowska is an assistant professor at the Sociology department of Utrecht University. Her research focuses on the topics of data and methods quality. She is currently working on a project investigating the quality of non-traditional data sources and on a project related to climate change sociology. She is also the task leader of the ODISSEI benchmarking task, which aims to organize an algorithm benchmark for the social sciences. The overarching goal of this project is to guide social science research towards a culture wherein different methods and techniques that are used to solve a specific problem are compared and evaluated objectively.
Image of Javier Garcia-Bernardo
Javier Garcia-Bernardo
Dr. Javier Garcia-Bernardo is an assistant professor at Utrecht University in the Social Data Science (SoDa) team. Before that, he was a postdoc at the University of Amsterdam and at Charles University (CORPTAX), and a data scientist at the Tax Justice Network. In his research he applies computational models to understand social and economical systems. He completed his PhD in Political Economy at the CORPNET group (University of Amsterdam), and his MSc in Computer Science at the University of Vermont.
Image of Erik-Jan van Kesteren
Erik-Jan van Kesteren
Dr. Erik-Jan van Kesteren is assistant professor of data science at Utrecht University, and the team lead for the ODISSEI Social Data Science team ([https://odissei-soda.nl/](https://odissei-soda.nl/)). His background is in social sciences and statistics, with a focus on computation; he has worked on a wide range of topics, such as structural equation modeling, high-performance computing, and Bayesian statistics. Erik-Jan is a strong proponent of open science, which he puts in practice in his projects with the SoDa team. There, he consults and works with many different researchers, on topics such as inequality, citizen science, agent-based modelling, and synthetic data.
Image of Gert Stulp
Gert Stulp
Gert Stulp is an associate professor at the department of Sociology at the University of Groningen. He studies causes of the variation in the number of children people have and would like to have, and employs diverse methods in his research including personal network data collection, simulation studies, and machine learning. He is also interested in how methods from data science methods can improve the social sciences.
Image of Elizaveta Sivak
Elizaveta Sivak
Elizaveta Sivak is a sociologist and a computational social scientist. Currently, she is a PhD candidate at the University of Groningen, where she studies the predictability of fertility outcomes. Before that, she was the head of the Center for Modern Childhood Research at HSE University. Her research interests involve the predictability of life outcomes, predictions in social science in general, and using machine learning methods and digital traces data to study parenting and childhood.
Image of Lucas Spierenburg
Lucas Spierenburg
Lucas Spierenburg is a PhD candidate at the TU Delft assessing the impact of urban policies on residential segregation patterns. In his current research, he uses unsupervised learning to delineate demographically homogeneous regions from spatial data and assesses how these regions relate to local urban development.
Image of Tony Wei-Tse Hung
Tony Wei-Tse Hung
Currently a PhD student at Maastricht University, exploring the various possibilities between climate resilience and data science. He received his master's degree in Environmental Economics and Climate Change from the London School of Economics as well as a European Master's degree in Official Statistics from the University of Economics, Prague.
Image of Hanna Schleihauf
Hanna Schleihauf
Hanna Schleihauf is an Assistant Professor at Utrecht University. She studies how people across the world transmit behaviors and beliefs between one another and hopes to investigate the influences of direct and indirect exchange on the spread of knowledge and beliefs within the online environment in the future. She also runs non-invasive cognitive studies with chimpanzees in Uganda and Kenya to unravel what makes human cognition unique.
Image of Lotte Schrijver
Lotte Schrijver
Lotte Schrijver is a PhD Candidate at Erasmus University Rotterdam and Wageningen University. She studies misinformation during the Covid pandemic. Her current research focuses on training a machine learning model to detect misinformation about Covid on Twitter. Her interests include political communication and science communication, and computational social science.
Image of Vardan Barsegyan
Vardan Barsegyan
Vardan is a scientific researcher at the Research and Documentation Centre (WODC) - the knowledge centre of the Dutch Ministry of Justice and Security (The Hague, the Netherlands). In 2019-2023, he worked as a postdoctoral researcher at the department of sociology at Utrecht University (Utrecht, the Netherlands). He obtained his PhD degree in political science in Moscow in 2016. His research interests are political and social inequality, asylum and migration studies, and criminal behavior.
Image of Žiga Puklavec
Žiga Puklavec
Žiga is a PhD candidate at the Department of Social Psychology at Tilburg University. He is interested in the psychology of taxation, mainly evolving around morality, social norms, emotions, and attitudes towards paying taxes. His research methods include laboratory experiments (emotion induction, electrodermal activity, eye-tracking), analysing large archival data, and natural language processing.
Image of Marie Labussière
Marie Labussière
Marie Labussière is a postdoctoral researcher in sociology at the University of Amsterdam. Her current work is part of the CAREER ERC-project, which focuses on the employment trajectories of workers in the context of changing labour markets. Using job advertisement data and machine learning techniques, she explores new ways to map the skill content of the labor market.
Image of Xiao Xu
Xiao Xu
Xu Xiao is a PhD candidate at the Netherlands Interdisciplinary Demographic Institute (NIDI). His research focuses on the application of computational methods in demography. Before working at NIDI, Xiao completed a joint research master in Computational Linguistics at the University of Groningen and the University of the Basque Country.
Image of Alon Pertzikovitz
Alon Pertzikovitz
Alon Pertzikovitz is a PhD candidate at the Netherlands Interdisciplinary Demographic Institute and the University of Groningen. He holds a Master’s degree in Demography from the Hebrew University of Jerusalem, and a European Research Certificate of Demography from the European Doctoral School of Demography. Alon’s PhD dissertation explores patterns and processes of childhood migration and focuses on the nexus between migration in childhood and later life demographic outcomes.
Image of Samuel Plach
Samuel Plach
Samuel Plach is a doctoral student in Social and Political Science at Bocconi University, Milan, and works at the Dondena Centre for Research on Social Dynamics and Public Policy. He holds a BSc in Economics and Business Science from University of Konstanz and a MSc in Economics and Social Sciences from Bocconi University. His research, published in leading journals including Science, PNAS, and PDR, focuses on Social and Institutional Demography, Social Network Analysis, and Social Mobility.
Image of Dianna Amasino
Dianna Amasino
Dianna has a PhD from Duke University in cognitive neuroscience and is currently a postdoctoral researcher at the University of Amsterdam in the economics department. She measures attention (using eye-tracking or mouselab) to better understand the process by which people make decisions with social and ethical implications.
Image of Huyen Nguyen
Huyen Nguyen
Huyen Nguyen is an interdisciplinary researcher with research interests in natural language processing, applied econometrics, and the economics of discrimination. Her research combines NLP tools, survey experiments, and micro-econometric techniques to understand differences in self-presentation strategies in competitions and recruitment contexts; and their impacts on evaluations across genders and ethnicities.
Image of Tomas Turner-Zwinkels
Tomas Turner-Zwinkels
Tomas Turner-Zwinkels is a socially engaged quantitatively minded political sociologist that loves bad ideas. Keen on exploring and teaching how to tackle policy issues with theoretical scrutiny, exciting data and rigorous quantitative methodology. Graduated with the highest honours (summa cum laude) from his research master at the ICS in Groningen. Wrote his PhD, titled 'A New Macro-Micro Approach to the Study of Political Careers: Theoretical, Methodological and Empirical Challenges and Solutions' at the University of Groningen. After working at the University of Basel (Switserland) on a large comparative research project on political careers, he recently started as an Assistant Professor of Sociology at the University of Tilburg. He is a member of the Dutch National Think Tank.
Image of Emily Cantrell
Emily Cantrell
Emily Cantrell is a doctoral student in Sociology and Social Policy at Princeton University. Her current research examines what types of life experiences are most predictable using machine learning algorithms with social survey data. Upcoming work will examine how data distribution shifts impact predictive algorithms in child protective services.
Image of Francesco Marolla
Francesco Marolla
Francesco Marolla is a Joint PhD researcher for the University of Trento (Italy) and Tilburg University (The Netherlands). In his PhD Thesis, he works on European surveys (e.g., EVS, ESS, EES), particularly focusing on citizens' support for populist parties and populist attitudes. He aims to find individual and contextual factors that explain support for populism across European countries. The focus is on voters' grievances, institutional factors and party competition. Other research interests are on Voting behaviour, Electoral biases, Digital Democracy, and COVID-19 rule compliance.
Image of Laura Jansen
Laura Jansen
Laura Jansen is a PhD student in Economics at the University of Groningen. Her research lies within the field of health and labour economics. She is currently investigating employer incentives' effects in the Dutch sick leave and disability insurance system. Besides, she has a great interest in computational economics and is planning to create a structural model of the Dutch disability insurance system.
Image of Santiago Gómez-Echeverry
Santiago Gómez-Echeverry
Santiago is a PhD candidate at the Department of Sociology of the Vrije Universiteit Amsterdam. His current research focuses on modeling and assessing the quality of non-probabilistic and Big Data sources. He has a strong passion for applied statistics, particularly Survey Statistics, Public Policy Evaluation, Bayesian Statistics, and Psychometrics.
Image of Ely Strömberg
Ely Strömberg
Ely Strömberg is a PhD candidate at the department of Sociology at the University of Amsterdam, and the ICS. Their PhD project investigates cumulative and structural forms of discrimination. Their research interest include discrimination, labour market relations, intergenerational inequality, research robustness, and Critical theory.
Image of Maud Hofland
Maud Hofland
I am an early-career researcher affiliated with the Netherlands Bureau for Economic Policy Analysis. In collaboration with colleagues, I investigate various aspects of he Dutch healthcare system, particularly in relation to income. Additionally, my academic interests lie in the fields of socio-medical sciences and social inequality.

Paris

All Participants


Image of Etienne Ollion
Etienne Ollion
Étienne Ollion is a CNRS research fellow and Professor of Sociology at École Polytechnique. His research focuses on politics, and he integrates digital data to more classic data sources and methods.
Image of Julien Boelaert
Julien Boelaert
Julien Boelaert is an Assistant professor in Political Science at Lille University/CERAPS (currently on sabbatical). He has been experimenting with, and thinking about, machine learning for social sciences since 2010 and is currently working on mass-media content analysis with a text-as-data approach.
Image of Felix Lennert
Felix Lennert
Felix Lennert is a PhD candidate in Sociology at École Polytechnique under the supervision of Étienne Ollion. He holds an M.Sc. in Computational Social Science from Linköping Universitet. His research interest centers around political polarization and its underlying processes which he studies using large-scale social media data and a diverse set of computational methods.
Image of Chris Bail
Chris Bail
Chris Bail is Co-Founder of SICSS and Professor of Sociology and Public Policy at Duke University where he directs the Polarization Lab. He is also affiliated with the Interdisciplinary Data Science Program, the Duke Network Analysis Center, and serves on the Advisory Council of the National Science Foundation's SBE Directorate. His research examines political polarization, culture and social psychology using tools from the field of computational social science. He is the author of Breaking the Social Media Prism: How to Make our Platforms Less Polarizing.
Image of Marie Bergström
Marie Bergström
Marie Bergström is a Permanent Researcher at the French National Institute for Demography. Her work deals with online dating which she investigates using digital data.
Image of Antonio Casilli
Antonio Casilli
Antonio Casilli is full professor of sociology at Telecom Paris and a researcher at the Interdisciplinary Institute on Innovation (i3), an institute of the French CNRS. His research focuses on social networks, digital platforms, digital labor and privacy.
Image of Laura K. Nelson
Laura K. Nelson
Laura Nelson is an Assistant Professor of Sociology at the University of British Columbia. In her research, she uses computational methods to study social movements, culture, gender, institutions, and the history of feminism.
Image of Juan Pablo Pardo-Guerra
Juan Pablo Pardo-Guerra
Juan Pablo Pardo-Guerra is an Associate Professor at the University of California, San Diego. His research concerns markets and their location in contemporary societies with an emphasis on finance, knowledge, and organizations.
Image of Thierry Poibeau
Thierry Poibeau
Thierry Poibeau is CNRS Director of Research and adjunct head of the LATTICE laboratory. He mainly works on NLP, especially on Information Extraction, Question Answering, Semantic Zoning, Knowledge Acquisition from text and Named Entity tagging.
Image of Paola Tubaro
Paola Tubaro
Paola Tubaro is CNRS Senior Research Fellow at the Laboratoire Interdisciplinaire des Sciences du Numérique (LISN). Her research focuses on the digital platform economy, the global supply networks of the artificial intelligence industry, the role of human labour in the development of automation, and inequalities in access to data.
Image of Dennis Arku
Dennis Arku
Dennis Arku is a lecturer at the Department of Statistics and Actuarial Science, University of Ghana, Legon, and a researcher in the field of Applied Statistics and Probability. He holds a PhD in Statistics. His current research interest is focused on big data analytics.
Image of Rebekka Atakan
Rebekka Atakan
Rebekka Atakan works as a PhD student in an DFG-funded project on the analysis of neighborhood changes in Cologne, Germany by means of a dwelling panel at the University of Bonn. Her dissertation focuses on the perception of urban space, the construction of neighborhood images and the interplay of social and spatial inequality.
Image of Abi Atamanesh
Abi Atamanesh
Abi is a research assistant at the University of Tehran. She has a multidisciplinary academic background, holding a master's degree in Cognitive Science and a bachelor's degree in Physics. Her research focuses on exploring the relationship between emotions, human belief systems, and the spread of misinformation in social media. Specifically, Abi is currently investigating the impact of network polarization on the dissemination of misinformation through the use of agent-based models. Her work involves designing and executing a series of experiments to gain insights into this complex phenomenon.
Image of Samuel Benkimoun
Samuel Benkimoun
Samuel Benkimoun is a PhD student at Université Paris-1 Panthéon Sorbonne. He is writing a thesis in Geography, about the interconnection between urban environment, mobility and infectious diseases patterns in Delhi, India. He uses a lot of models and computational methods for spatial analysis, mainly in R. He also has an interest for urban theory and mapping, while trying to develop a critical framework regarding the production and use of spatial data in social science.
Image of Meryem Bezzaz
Meryem Bezzaz
Meryem Bezzaz holds a Master's degree in Political Science from McGill University and received a Bachelor in Economics and Political Science from the University of Montreal (UdeM). Her research project aims to provide a comparative political economy perspective on issues of energy policy choices in the context of crisis.
Image of Emma Bonutti D'Agostini
Emma Bonutti D'Agostini
Emma Bonutti D'Agostini is a PhD candidate in Sociology between CREST (Institut Polytechnique) and médialab (Sciences Po Paris). She is entered in studying how far-right discourse spreads through the French and Italian mediaspheres, using computational NLP methodologies. Before that, she was a Master's student in Sociology at Sciences Po Paris.
Image of Nicolas Camilotto
Nicolas Camilotto
I am a historian of economic thought, and I am completing a thesis under the direction of Dorian Jullien at GREDEG (CNRS/Université Côte d'Azur). My research currently focuses on the history of the notion of trust in economic thought.
Image of Javier Carbonell
Javier Carbonell
Javier Carbonell is a PhD candidate at the University of Edinburgh and a teaching associate at Sciences Po, Paris. His research focuses on how nationalist rhetoric frames environmental issues. He is a Research Fellow at Future Policy Lab, an Associate at LSE IDEAS, a member of ASEN, and writes reguarly for El País.
Image of Yacine Chitour
Yacine Chitour
Yacine Chitour is a master's student in history and sociology at École Normale Supérieure (Paris). In 2022, he defended a master's thesis on digital labour and sex work, and the way they overlap on online platforms. He's currently working on research projects in economic sociology.
Image of Annina Claesson
Annina Claesson
Annina is a PhD candidate in sociology at CREST and Sciences Po Médialab. She researches practices in political communication among parliamentarians and journalists, with a particular interest in social media dynamics, including online violence against public figures.
Image of Baoning Gong
Baoning Gong
I am a research assistant and doctoral researcher in the research group "Dynamics of Digital Mobilisation" at the Weizenbaum-Institute for the Networked Society in Berlin. I investigate the influence of platform functionalities on mobilisation and radicalisation of far-right movements. Prior to that I have completed a Master's degree in Media and Political Communication at the Free University of Berlin.
Image of Karina Gómez
Karina Gómez
Karina is a masters student in the Paris School of Economics. She holds a BA in Economics and a MSc in Applied Economics from Instituto Tecnológico Autónomo de México (ITAM). As a research assistant, she has worked on the impact evaluation of programs aimed at improving the quality of education in different middle-income countries.
Image of Malo Jan
Malo Jan
Malo Jan is a Phd candidate in political science at Sciences Po (CEE). His research focuses on politicians' responses to climate change in Western Europe. Using quantitative and computational methods, he aims to identify how politicians from several national parliaments engage with this issue as well as to explain the emergence of intra and inter party conflict over climate policies.
Image of Gabriel Kallah-Dagadu
Gabriel Kallah-Dagadu
Gabriel Kallah-Dagadu holds a PhD degree in Statistics from the University of Cape Coast and an MPhil degree in Statistics from the University of Ghana. Gabriel joined the department as a faculty in September 2014 and has great experience in supervising and teaching students in Statistics, Probability and Data Science. Gabriel is currently, a postdoctoral fellow in health data science with the University of KwaZulu-Natal, South Africa as the host university and two partner universities Harvard T. H. Chan School of Public Health, USA and Heidelberg Institute of Global Health, Germany. His research interests are centred on applied probability, computational statistics, and machine learning with real-life applications to Genome and Cancer Research, Climate change, Nutrition, and Health.
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Elif Kılık
Elif Kılık is a researcher and a PhD candidate at the University of Antwerp. Her research is primarily centered around news content diversity, wherein she utilizes computational methods to extract information from news texts. Additionally, she leads work groups for statistics courses offered to undergraduate students pursuing a bachelor's degree in Communication Sciences at the University of Amsterdam.
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Sebastien Le Moing
Sébastien Le Moing is a PhD candidate in Political Science at Sciences Po Bordeaux. His research explores the historical roots and political dynamics of contemporary sensitivities with a case study on French moral evolutions regarding racism from the 1880s to present day. Building on data from various sources (handbooks, pupils’ notebooks, survey data…), Sébastien is interested in applying computational methods to large archival datasets to track changes in emotions and identifications over time.
Image of Maïlys Mangin
Maïlys Mangin
Maïlys Mangin is a post-doctoral researcher at the French Air Force Academy Research Center. Her research in international political sociology focuses on the strategic uses of information, expertise and law in international nuclear negotiations. Using automatic arguments mining, she currently work on the analysis of controversies and disinformation operations in the context of the war in Ukraine. She is also an associate with the project on Managing the Atom at the Harvard Kennedy School, where she was Research Fellow (2020-2022).
Phoebé Pigenet
Phoebé Pigenet is a PhD student in media studies at the University of Paris-Panthéon-Assas (CARISM). She is currently working on a thesis on digital spaces, discourses and uses of the self-representation of bodies that deviate from the female beauty norm, under the supervision of Cécile Méadel. Her work focuses on the representations of acne, age and female fatness on media sharing platforms (Instagram, Tik Tok and Youtube). In 2022, she conducted a master thesis on the activist dynamics highlighted by the hashtag Plusde70kgetsereine on Twitter.
Image of Luis Sattelmayer
Luis Sattelmayer
I am a PhD candidate at SciencesPo. After a BA in political humanities, I pursued an MA in Comparative Politics where I discovered quantitative methods. In my PhD, I am interested in mainstream parties' issue engagement with the far-right's salient issues and how this might explain their electoral decline.
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Janine Schröder
Janine is a Ph.D. candidate at the Department for Political Science Methodology at the University of Regensburg. She holds a B.A. in Social Science from the University of Augsburg and an M.A. in Criminology and Violence Studies from the University of Regensburg. During her Masters, she worked as a research assistant in the forensic psychiatry of Regensburg. Her Doctoral Thesis focuses on anti-fascist online networks and the quantitative classification of textual content across Europe. She draws on interdisciplinary theoretical elements and computational methods to study anti-fascist movements.
Image of Florian Steig
Florian Steig
Florian Steig works as a pre-doc at the Department of Political Science at the University of Vienna. His research uses Natural Language Processing for the analysis of climate discourses. Florian holds a BA in Political Science from the University of Hamburg and an MSc in Global Politics from the LSE.
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Leonie Steinbrinker
Leonie Steinbrinker is currently a PhD candidate in Sociology at Leipzig University, specializing in the use of computational methods to investigate the underlying mechanisms of how social influence in social media communication is shaping opinions and behavior. Her research approach is theory-induced, and she applies network analysis and natural language processing methods to analyze large-scale behavioral data.
Image of Daria Szafran
Daria Szafran
Daria is pursuing a PhD in Sociology at the University of Mannheim. Her research focuses broadly on the social impact of AI. In her recent work, Daria is investigating subjective fairness perceptions in the context of automated decision making. She enjoys working both with quantitative as well as qualitative methods.
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Jakob Tures
Jakob Tures is a PhD student in Sociology at the University of Potsdam. His research concerns the interplay of demand and supply in right-wing populism, i.e. the extent to which voters' expectations and the positions as well as behaviours of the elected align. He employs natural language processing in analysing the supply-side based on official documents and digitally collected text data.
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Claudia Uebler
Claudia Uebler is a Post-Doctoral Fellow at the Department of Educational Sciences, University of Regensburg, and holds a Ph.D. in Physics. Her research analyzes the dropout risk of girls in STEM within an online mentoring program, using time-dependent dynamics in communication and networking behavior. In doing so, she is pursuing a second Ph.D.
Image of Mikael Wallin
Mikael Wallin
Mikael Wallin is doctoral researcher of sociology at Tampere University in Finland. His research focuses on social media platforms, public discourse and cultural stratification. He is currently working in the research project CuWoC (Cultures of the working class in the 2020s) where he is using computational methods such as topic modeling as part of a mixed methods research design to analyse large datasets of online discussions.
Image of Shuyu Zhang
Shuyu Zhang
Shuyu Zhang is a PhD Candidate in the Department of Urbanism, Faculty of Architecture and the Built Environment at Delft University of Technology. Her research focuses on the impact of social media on places and urban environment, especially the digital placemaking, mediatization, gentrification, tourisfication, neighborhood change and urban inequalities. Her main interests include urban regeneration, urban analytics and interventions, data-driven urban design and urban studies. Her methodology combines mixed research methods, social media data analysis, text mining, and social network analysis. She holds a master’s degree in Architecture from Tongji University and has experience in Computional Urban Design Lab.
Image of Yacine Chitour
Yacine Chitour
Yacine Chitour is a master's student in history and sociology at École Normale Supérieure. In 2022, he defended a master's thesis on digital labour and sex work, and the way they overlap on online platforms. He's currently working on research projects in economic sociology.
Image of Gaston Vermersch
Gaston Vermersch
Gaston Vermersch holds an M.Sc. in quantitative economics from the Ecole Normale Supérieure de Lyon and is currently completing an M.Sc. in computational social sciences at ENSAE. He combines digital methods and econometrics to investigate various socio-economic topics.

Penn

All Participants


Image of Xi Song
Xi Song
Xi Song is an Associate Professor of Sociology and Demography at the University of Pennsylvania. Her research uses statistical, demographic, and computational techniques to understand how patterns of social inequality are created and changed within and across generations. Her current topics of investigation include the gap between factual and perceived inequality, multigenerational social mobility and kinship inequality, the evolution of occupational structure, and statistical methods for characterizing the link between intra- and intergenerational mobility. She received the 2021 William Julius Wilson Early Career Award from the American Sociological Association. Her previous publications have received multiple awards from the American Sociological Association, the International Sociological Association, IPUMS, and the Demographic Research.
Image of Yphtach (Yph) Lelkes
Yphtach (Yph) Lelkes
Yphtach (Yph) Lelkes is an Associate Professor at the Annenberg School for Communication. He studies public opinion, political psychology, and political communication. His interests lie at the intersection of political communication, public opinion, and political psychology. In the broadest sense, he is interested in the antecedents, structure, and consequences of citizens’ political attitudes. He has focused on three, often overlapping, research questions: (1) What are the roots, structure, and consequences of affective polarization? (2) What is the impact of changes to the information environment on political attitudes? (3) What are the psychological underpinning and structure of political belief systems? His work appears in top field journals in Communication (Journal of Communication, Journal of Computer Mediated Communication), Political Science (American Journal of Political Science, Journal of Politics), Psychology (Journal of Personality and Social Psychology), as well as general interest journals (PNAS, Nature Human Behavior).
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Aj Alvero
AJ Alvero is a computational social scientist at the University of Florida Department of Sociology, Criminology & Law. His primary interests are in in language, race/ethnicity, culture, and education. His current research uses computational techniques to analyze college admissions essays and model the social patterns within them. AJ’s future research plans include investigations into machine translation and multilingualism, social media and counter hate speech, and more investigations into educational systems using data science. Prior to entering academia, AJ was a high school teacher in Miami, FL.
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Deen Freelon
Deen Freelon is an associate professor at the UNC Hussman School of Journalism and Media at the University of North Carolina and a principal researcher at the Center for Information, Technology, and Public Life (CITAP). His theoretical interests address how ordinary citizens use social media and other digital communication technologies for political purposes, paying particular attention to how identity characteristics (e.g. race, gender, ideology) influence these uses. Methodologically, he is interested in how computational research techniques can be used to answer some of the most fundamental questions of communication science.
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Danaë Metaxa
Danaë Metaxa is an Assistant Professor at the University of Pennsylvania in the Computer and Information Science department, with a secondary appointment in the Annenberg School for Communication. Along with Andrew Head, they are the co-founder of the Penn HCI group. Prior to joining Penn, Dr. Metaxa was a postdoctoral scholar with the Stanford Center of Philanthropy and Civil Society’s Program on Democracy and the Internet, and a Ph.D. candidate in Computer Science at Stanford University. In their research, Dr. Metaxa studies bias and representation in algorithmic systems and content, focusing on high-stakes social settings like politics and employment, and in particular on the experiences of maginalized people.
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Rebecca Weiss
Rebecca Weiss is an award-winning computational social scientist and data science leader. She has worked in academia and industry, applying innovative methods to large-scale data sets to better understand online environments and their behavioral consequences. As head of research and innovation at Mozilla, she created and incubated the Rally project, a privacy-preserving data platform leveraged by institutions including Princeton, Stanford, and The Markup to conduct research in the public interest. Before that, she founded the Firefox Data Science team and advanced Lean Data Practices as Mozilla’s director of data science. Weiss has held fellowships at the Berkman-Klein Center for Internet and Society at Harvard University and at the Brown Institute for Media Innovation (a joint effort between Stanford School of Engineering and Columbia School of Journalism).
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Meredith Broussard
Data journalist Meredith Broussard is an associate professor at the Arthur L. Carter Journalism Institute of New York University, research director at the NYU Alliance for Public Interest Technology, and the author of several books, including “More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech” and “Artificial Unintelligence: How Computers Misunderstand the World.” Her academic research focuses on artificial intelligence in investigative reporting and ethical AI, with a particular interest in using data analysis for social good.
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Rebecca Johnson
Rebecca Johnson is an Assistant Professor at Georgetown University’s McCourt School of Public Policy, where she teaches data science in the MS in Data Science for Public Policy and is affiliated with the Massive Data Institute and Department of Sociology. Rebecca is also a 2020-2021 Access to Justice Faculty Scholar with the American Bar Foundation, an academic affiliate with the federal Office of Evaluation Sciences, and a visiting Data Science Fellow with The Lab at DC. Her research studies how social service bureaucracies use a mix of data and discretion to decide who deserves help and focuses particularly on prioritization in K-12 schools. Substantively, she studies how underfunded K-12 districts navigate three forces: legal mandates about categories of students to prioritize, fiscal realities, and family advocacy.
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Sarah Shugars
Sarah Shugars (they/them/theirs) studies how everyday people talk about, engage with, and collectively shape the modern world around them. Bringing together computational communication and the principles of deliberative democracy, they develop new text and network methods in order to examine the relational nature of public life, the linguistic modes through which people express themselves, and the technological affordances which shape digital discourse. They are a first-generation to college student and are deeply committed to increasing access and equity in higher education.
Image of Shengchun Huang
Shengchun Huang
Shengchun Huang is a doctoral student at the Annenberg School for Communication at the University of Pennsylvania. She is interested in digital news consumption, algorithm-driven aggregators/platforms, and social effects in the high-choice media environment. She applies a variety of computational methods in research work, including network analysis, Markov chains, word embedding and nlp, etc.
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Eugenio Paglino
Eugenio is a second-year Ph.D. student in Demography at the University of Pennsylvania. He holds a BSc and a MSc in Economics and Social Sciences from Bocconi University. Before becoming a PhD candidate, he worked as a research assistant at the Netherlands Interdisciplinary Demographic Institute and the Dondena Center for Research on Social Dynamics and Public Policy. His broad research interests include the interactions between population and the environment, migration, the computational social sciences, and inequality. He loves visualizing data and is interested in studying ways in which data visualization can help researchers to communicate more clearly and to reach a wider audience.
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Julia Cope
Julia Cope is a PhD student at the Annenberg School for Communication at the University of Pennsylvania. She studies climate discourse, information communication technology use, natural disasters, and the political economy of climate change. She received her B.S. and M.S. in Information Science from the University of Pittsburgh and worked as a data scientist before joining Annenberg. Cope is a mixed-methods researcher. Her current research uses computational methods such as natural language processing and machine learning, as well as qualitative methods such as content and discourse analysis to uncover the framing of climate change and patterns of message salience within different industries and groups.
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Sunny Rai
Sunny is a postdoc researcher at CIS working under Dr. Sharath Chandra Guntuku and Dr. Lyle Ungar. Her research focuses on misinformation, mental health and cross-cultural variations in human language. SHe completed my PhD from University of Delhi, India. Her PhD thesis was on Computational Metaphor Processing for English Language.

Rochester

All Participants


Image of Cantay Caliskan
Cantay Caliskan
Cantay Caliskan is an assistant professor of instruction at the Goergen Institute for Data Science, University of Rochester. He studied political science, computer science, and statistics during his PhD, and received his degree from Boston University in 2018. Cantay received his BA in Economics, Mathematics, and Intl. and Global Studies from Brandeis University and his MA in International Relations from Koç University. His research interests include computational social science, emotion quantification and face/gesture recognition, social media, US Congress, and networks of lobbying.
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Ezgi Siir Kibris
Ezgi Siir Kibris is a Ph.D. candidate in Political Science and an alumna of the MS program in Data Science at the University of Rochester. She has MA degrees in Political Science and European Studies and BA in Economics from Sabanci University. Her dissertation research revolves around judicial politics, international courts, democratic backsliding, and gender. She is interested in quantitative methods, specifically causal inference, machine learning, and natural language processing.
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Selim Balcisoy
Since 2004, Selim Balcisoy has been a Faculty Member at Sabanci University, Istanbul, where he has led and contributed to groundbreaking research in a variety of areas, including behavioral analytics, computational social science, cultural heritage, augmented reality, and visual analytics. In 2006, he founded one of the first data analytics companies, VisioThink, which quickly became a leading player in the industry. As CEO until 2018, he oversaw the development of cutting-edge technologies that helped clients to gain new insights into their data, enabling them to make better decisions and achieve their business goals more effectively. In 2015, he cofounded a research lab on behavioral analytics and visualization together with MIT Media Lab. This lab has fostered strong industry collaboration, enabling us to develop innovative technologies that have helped companies across a range of industries to gain valuable insights into human behavior and social dynamics. He has also advised and acted in the primary investigator role for several international companies, including Ageas Portugal, Tramontina, Turkcell, Akbank, Garanti Bank, Sabancı Holding, SAS, National Insurance Information and Monitoring Center, Aksigorta, Netaş, and SabancıDx.
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Dino P. Christenson
Dino Pinterpe Christenson is an Associate Professor (Ph.D., Ohio State University; B.A., University of Michigan) in the Department of Political Science at Washington University, a Faculty Affiliate in the Division of Computational and Data Science, and a Research Fellow at the Weidenbaum Center on the Economy, Government, and Public Policy. Christenson studies American political behavior and quantitative methods, with recent work exploring presidential voting behavior, campaign dynamics in presidential primaries and caucuses, the coalition behavior of interest groups, and public opinion and the media environment of institutional outcomes. More generally, his research in American politics concerns electoral behavior, public opinion, political psychology, political communication, interest groups and judicial politics. He has broad methodological interests as well, including survey research, experimental design, longitudinal and nested data models, Bayesian analysis, social network analysis and causal inference.
Image of Gourab Ghoshal
Gourab Ghoshal
Gourab Ghoshal is Associate Professor of Physics and Astronomy with joint appointments at the departments of Computer Science and Mathematics. He came to Rochester from Harvard University, where he was a Research Scientist at the Department of Earth and Planetary Sciences and a member of multidisciplinary Orgins of Life Initiative. Hailing from New Delhi, India, Professor Ghoshal got his BS and MS degrees at the University of London, UK (BS and MSc in theoretical Physics, 2004). He did his doctoral-thesis work at the University of Michigan, Ann Arbor (PhD in Physics, 2009) during which he attended the prestigious Complex Systems summer school at the Santa Fe Institute, NM and the Theoretical Physics school at Les Houches near Chamonix in France. Following his PhD, he was a postdoctoral scientist jointly at Northeastern University and Harvard Medical School as well as a visiting scientist at the Media Lab, MIT.
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Jonathan Herington
Jonathan Herington an Assistant Professor of Philosophy, and Assistant Director of Graduate Education in the College of Arts, Sciences, and Engineering, at the University of Rochester. Between 2014 and 2019 Jonathan was an Assistant Professor in the Department of Philosophy at Kansas State University. Previously Jonathan was a Research Fellow in the Medicine, Ethics, Society and History unit of the University of Birmingham. Jonathan completed my PhD in the School of Philosophy, at the Australian National University. Jonathan is a native of Brisbane, Australia and recieved a BA (Hons I) in International Relations and Philosophy, and a BSc in Microbiology, from the University of Queensland. Prior to undertaking my PhD Jonathan was located at the Centre for International Security Studies, University of Sydney.
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Anson Kahng
Anson Kahng is an Assistant Professor in the Department of Computer Science and the Goergen Institute of Data Science at the University of Rochester. He works on theoretical problems at the intersection of computer science and economics, particularly in computational social choice, which focuses on designing and evaluating methods of aggregating individual preferences to make collective decisions. Recently, he has been focusing on problems at the intersection of computer science and democracy. Some projects he has worked on in this space include virtual democracy, liquid democracy, and participatory budgeting. In general, Anson is excited about solving real-world problems with a combination of theoretical and empirical tools.
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Lauren Klein
Lauren Klein is Winship Distinguished Research Professor and Associate Professor in the Departments of English and Quantitative Theory and Methods at Emory University, where she also directs the Digital Humanities Lab. Before arriving at Emory, she taught in the School of Literature, Media, and Communication at Georgia Tech. She received her Ph.D. in English and American Studies from the CUNY Graduate Center, and her AB in Literature (English and French) from Harvard University. In 2017, she was named one of the 'rising stars in digital humanities' from Inside Higher Ed. She is the author of two books. The first, Data Feminism (MIT Press), co-authored with Catherine D’Ignazio, offers a new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. The second, An Archive of Taste: Race and Eating in the Early United States (University of Minnesota Press), shows how thinking about eating can help to tell new stories about the range of people, from the nation’s first presidents to their enslaved chefs, who worked to establish a cultural foundation for the United States.
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Mert Moral
Mert Moral is an Assistant Professor of Political Science and International Relations in the Faculty of Arts and Social Sciences at Sabanci University, Istanbul. He received BA degree in International Relations from Galatasaray University, Istanbul, and studied political science at the Université Paris I Panthéon-Sorbonne as an exchange student. In 2012, he received his first MA degree in International Political Economy from Koç University, Istanbul. He then received a Ph.D. in Comparative and World Politics in 2017 from the State University of New York at Binghamton and moved back to Turkey and started working at Sabanci University soon after. His research interests include electoral behavior, political participation, representation, polarization, comparative and Turkish politics, and political and survey methodology.
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Moritz Osnabrugge
Moritz Osnabrugge is an Assistant Professor at Durham University. His research focuses on European politics and computational social science. He studies legislative reforms, decision-making in the European Union, political rhetoric, political representation, and policy implementation. His articles have been published in the American Political Science Review, International Organization, The Journal of Politics, Political Analysis, Political Science Research and Methods, European Union Politics, and Research & Politics. He teaches courses on digital democracy, European and comparative politics, and political methodology. He holds a Ph.D. from the University of Mannheim and an M.Sc. from the London School of Economics and Political Science.
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Pedro Rodriguez
Pedro Rodriguez is a results-focused researcher and published scientist leveraging over 10 years’ hands-on research, four years’ team leadership, and five years’ experience teaching quantitative and computational methods, along with a Ph.D. in Political Science and MPhil in Economics. Throughout his career, he has worn numerous hats, including Manager, Thought Leader, Entrepreneur, Academic Researcher, Software Developer, and Teacher. His skillset encompasses network modeling, Natural Language Processing (NLP), experimental methods and machine learning (ML) with strong foundation in statistics. In addition, he possesses expertise in research design from ideation through implementation, publication, and dissemination. He has worked with large and small, structured and unstructured datasets, locally and on high performance clusters. His work has been published in top-ranked peer reviewed journals spanning three disciplines and he actively contributes to open-source software.
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Yaron Shaposhnik
Yaron Shaposhnik is an Assistant Professor of Information Systems and Operations Management at the Simon School of Business at the University of Rochester. Most broadly, he is interested in the optimization and analysis of mathematical models that capture real world problems, and in developing decision support tools that leverage analytics to improve operations. He graduated from MIT where he majored in Operations Research and was advised by professors Retsef Levi and Tom Magnanti. He also holds an MS degree in Industrial Engineering (advised by professors Yale Herer and Hussein Naseraldin) and a BS degree in Information Systems Engineering, both from the Technion – IIT.
Image of Hyunjin Song
Hyunjin Song
Hyunjin Song is currently an Associate Professor at the Department of Communication at Yonsei University, Seoul, South Korea. Previously, he was an Assistant Professor at Kookmin University, South Korea, and was a Post-doc in the Department of Communication at the University of Vienna, working with Univ.-Prof. Dr. Hajo Boomgaarden, Professor for Empirical Social Science Methods with a focus on Text Analysis. He was also a member of Vienna Computational Communication Science Lab and still remains affiliated with the team.
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Philine Widmer
Philine Widmer is a Ph.D. candidate in Economics from the University of St.Gallen, Switzerland. Her research covers topics related to the media, algorithms, and their relation to political and market institutions. Methodologically, she specializes in developing new approaches to quantify politically and economically relevant concepts from unstructured data such as text.
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Thomas Chamberlain
Thomas is pursuing a PhD in Political Science at the University of Rochester. His research uses quantitative methods with a focus on causal inference to study how historical events, institutions, and policies shape contemporary electoral competition in American politics. Previously, he studied political philosophy at Stanford University and worked in NYC politics.
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Yuen Ng Du
Yuen Ng (Aaron) Du is a graduating undergraduate at University of Rochester. Soon, he is joining Washington University in St. Louis as a PhD student in Political Science. His research interest concerns racial inequality and local politics in U.S. through statistical and computational methods.
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Olympia Mathiaparanam
Olympia Mathiaparanam is a PhD student in the Department of Brain and Cognitive Sciences at the University of Rochester. Her research examines how students learn fundamental STEM concepts. She uses developmental, cognitive, and computational methods to investigate her questions, and she is interested in how her research can help educators improve their instructional resources. Her most recent project applies the Markov Chain Monte Carlo method to better understand how students’ reason about variability in biological categories. Olympia holds a Bachelor of Science in Psychology and Biology from the University of Wisconsin-Madison.
Image of Eunseong Oh
Eunseong Oh
Eunseong Oh is a doctoral student in Political Science at the University of California, Riverside. She studies American Politics and Mass Political Behavior, with a focus on deliberation and ideological polarization. Her current research applies network analysis to explore if and why politicians cooperate despite conflicting interests.
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Md Mamunur Rashid
Md Mamunur Rashid is a Ph.D. student in the Teaching, Curriculum, and Change program at the Warner School of Education, University of Rochester. He also works as a graduate assistant at the Center for Learning in the Digital Age (LiDA) at Warner. Previously, Mamunur attended the Fulbright Foreign Language Teaching Assistant program in 2017-18 at New York University, New York. His research interests include immersive learning, multimodal learning, cinematic films as a pedagogical tool, and artificial intelligence in education. Mamunur is also a photographer and a video maker.
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Adam Roberts
Adam Roberts is a Ph.D. student in Political Science at the University of Rochester. His research interests lie in the areas of political economy and comparative politics. Specifically, his work examines corruption, inequality, and democratic erosion in developing countries. Previously, he received his B.A. from Brigham Young University with a double major in Political Science and Economics.
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Shirin Sultana
Shirin Sultana, Ph.D., is an Assistant Professor at the State University of New York-Brockport Department of Social Work. Dr. Sultana earned her Ph.D. from the Howard University School of Social Work, and MSSW from the University of Texas at Austin School of Social Work. Her research focuses on social support, coping and mental health of vulnerable and poor women. Dr. Sultana continues to publish and present at conferences both nationally and internationally.
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Jiamu Tang
Jiamu Tang, or Chan, is a driven individual with a passion for data science and philosophy. As a rising sophomore, she is pursuing a double major in data science and philosophy, driven by her love for exploring the intersection of logic and data. She sees data science as a tool to uncover hidden patterns and insights that can lead to groundbreaking discoveries. she hopes to earn a Ph.D. in data science or a related field in the future. She is particularly interested in the role that data science can play in advancing artificial intelligence and machine learning, and hopes to explore new algorithms and techniques to make these technologies even more powerful and effective. Her interests lie in using data brain-computer interfaces (BCIs) and human-computer interaction (HCI), and she is gaining valuable experience as a research assistant in a BCS lab for better understand human perception and brain, as well as data processing technique. Through Chan's innovative and creative approach to data science, Jiamu aims to uncover new insights, solve complex problems, and make a lasting contribution to society.
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Ebube Umeobi
Ebube is a Master's candidate in Data Science and Analytics at Buffalo State University. She holds a BS in Sociology from Covenant University, Nigeria, and a diverse research and work background on Nigerian peoples and organizations. Ebube has worked as a Researcher, Content Creator, UX Researcher, and Operations in the public and private sectors; analyzing climate studies, social determinants of health, and education for historically disadvantaged groups. Her overall research focuses on creating pilot-level development models through computational methods for policy-making, and sustainable community growth.
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Lion Wedel
Lion Wedel is a doctoral researcher at the Weizenbaum Institute for the Networked Society Berlin as part of the research group Digital News Dynamics. Before, he received a Bachelor’s degree in Sociology and Economics at Martin-Luther University Halle-Wittenberg and a Master’s degree at the RWTH Aachen University in Computational Social Systems. Currently, he explores the methodological possibilities to analyze audio-visual content from the so-called “verticals” (e.g. TikTok) and how news dynamics on such platforms can be researched. He also researches the online presence of the incel community and how concepts such as de-platforming and radicalization can be investigated through them.
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Siyi Yin
Siyi is a junior undergraduate student at the University of Rochester, majoring in Business Analytics and Political Science, and minoring in Legal Studies. She is interested in Social Science, Data Science and Machine learning, modeling in policy and Economics.
Image of Chen Zhang
Chen Zhang
As a passionate and creative early-stage researcher, Dr. Chen Zhang was trained in medicine, social science, and epidemiology. Dr. Zhang is currently an Assistant Professor at the School of Nursing, University of Rochester. She has participated in several NIH-funded projects focused on behavioral and biomedical interventions among vulnerable populations (e.g., female sex workers, children affected by AIDS, people living with HIV/AIDS, injected drug users, and men who have sex with men). Dr. Zhang’s current research focuses on reducing health disparities and health inequity among racial/minority who are at risk of HIV infection.

Roma Tor Vergata

All Participants


Image of Gustavo Piga
Gustavo Piga
Gustavo Piga, Ph. D. in Economics at Columbia University, is Full Professor of Economics at the University of Rome Tor Vergata, where he chairs the International Master in Public Procurement Management and the Bachelor degree in English in Global Governance. He has chaired the Italian Procurement Agency for Goods and Services, Consip Ltd., between 2002 and 2005. He is the author of the controversial 2001 report on Derivatives in Public Debt Management. He is the editor of several books, among which the Handbook of Procurement, Cambridge University Press, with Nicola Dimitri and Giancarlo Spagnolo and Revisiting Keynes - Economic Possibilities for our Grandchildren, MIT Press, with Lorenzo Pecchi. He is the author of the recent book “L’interregno” by Hoepli on the European crisis. He is also the co-editor of the European Journal of Public Procurement Markets and member of the Scientific Committee of the Italian Parliamentary Budget Office.
Image of Simone Borra
Simone Borra
Simone Borra is associate professor of Statistics in the Economics Department of University of Rome Tor Vergata. He teaches graduate courses in Business Statistics, Business Intelligence & Data Mining, and Statistical methods for management. Simone is the coordinator of a one year post graduate Master in Customer Experience, Statistics, Machine Learning & Artificial Intelligence with the partnership of SAS Institute and Accenture. His main research interests are in Statistical methods for Machine Learning and Nonparametric methods to measure prediction error.
Image of Laura Brandimarte
Laura Brandimarte
Laura Brandimarte is an Assistant Professor of Management Information Systems at the University of Arizona. She obtained her Master of Science in Economics at the London School of Economics and her PhD in Public Policy and Management, with a specialization in Behavioral Sciences, at Carnegie Mellon University, where she continued her academic career as a Post-doctoral Fellow. Her research and teaching interests focus on behavioral aspects of privacy and security decision making, privacy as self-determination, algorithmic bias, and disinformation. Her work was published in several leading academic journals, including Science, the Journal of Consumer Psychology, the Journal of Experimental Psychology - General, and the ACM Computing Surveys.
Image of Caleb Ziems
Caleb Ziems
I am a PhD student in the NLP Group at Stanford University, where I am fortunate to be advised by Prof. Diyi Yang. My work spans empirical Natural Language Processing and Computational Social Science. Previously, I finished my M.S. in Computer Science from Georgia Tech and my B.S. with a double major in Computer Science and Mathematics from Emory University. I was fortunate to spend some of my summers interning at Meta AI Applied Research and USC ISI. As of 2021, I am supported by the NSF GRFP.
Image of Adrianna Jezierska
Adrianna Jezierska
My name is Adrianna, and I am in the first year of PhD at the University of Bristol, researching online climate-diet discourse of online vegan communities. I am particularly interested in exploring (i) how various actors create opinions on vegan and plant-based diets in the context of climate change and (ii) to what extent they influence their social networks. This project will use a mixed-method approach, including computational social science (NLP, topic modelling), network theory and qualitative interviews. Prior to joining the PhD programme, I earned an MRes in Sustainable Futures from the University of Bristol and a BSc in Marketing from the University of Southampton. I also have a wide-ranging experience in (sci)communications, working previously in public administration for sustainability and climate action, public policy and NGOs. Whilst not at my desk, I enjoy tennis, cooking, long walks in the forest and pilates.
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Anh Nguyen
T. N. Anh Nguyen is a PhD Candidate at the Human Rights Centre “Antonio Papisca” of the University of Padova, and an International Research Fellow at the Information Society Law Center at the University of Milan. She obtained her M.A. in Human Rights and Multi-level Governance at the University of Padova, with a specialisation in International Law and Women’s Rights. Her research interests focus on the legal aspects of the right to privacy and data protection, cyberviolence against women, and content moderation. Her doctoral study aims to investigate the governance of cyberviolence against women, including governance of (and by) internet intermediaries as hidden influentials in facilitating such violence on their platforms.
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Beatrice Bonini
I am a PhD Candidate in Political Science at Columbia University in the City of New York, where I study public opinion and political economy. Prior to joining Columbia, I earned a B.S. and M.Sc. in Economics and Social Sciences from Bocconi University, where I focused on immigration, voting behavior and populism. I also gained experience in consultancy and in academic research centers in Italy and in the UK. I am currently working on my dissertation project on political communication on social media and (offline vs online) political participation of Millennials and the Gen Z. I am examining (i) whether, and in which ways, political content produced by non-political actors impacts younger generations, their preferences and behaviors and (ii) the trade-offs and incentives that these digital opinion leaders face when “going political”. I will employ different quantitative methods, from causal inference to experimental designs, to text and image analysis. I am also passionate about travelling and I am taking advantage of my time in NYC to travel more around Central America. I am also dedicated to yoga and meditation and eager to improving my surfing skills.
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Christoph Sonntag
Christoph Sonntag is a Master's student in Computer Science at the University of Vienna, where he is conducting research on defense methods against backdoor attacks in distributed machine learning. His current work focuses on detecting malicious clients in a collaborative machine learning setting. He aims to identify poisonous model updates in which attackers manipulated training data to make a model behave in a specific way when it encounters a particular trigger. Previously, Christoph applied visual data analysis methods on data from CERN in an effort to make large deep learning models more interpretable. He holds a Bachelor's degree in Internet Computing from the University of Passau, Germany, where he also worked as a lecturer, teaching programming to non-computer science students. Christoph works part-time as a freelancer on contract-based web development projects, offering customer-tailored software engineering and development solutions since 9 years. Alongside his academic pursuits, Christoph engages in various creative projects, including making music, shooting on film, and editing the Wikipedia. He is also a French language learner, hobby chef and an avid explorer who enjoys discovering new things about the world.
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Elena Bashkova
My name is Ellie and I am an MPhil student in Criminological Research at the University of Cambridge. For my master’s thesis, I am researching justifications that people give on online social media platforms and discussion forums for violence towards gender and sexual minorities. My other interests in criminology lie in global violence, international criminal law, and moral philosophy. After my MPhil, I would like to pursue a doctorate degree (please sponsor me). Prior criminology, I received a BA in Classics from University College London (UCL) in 2022. In my free time, I enjoy reading and cycling, and I am currently learning how to play on a guitar.
Image of Genevieve Smith
Genevieve Smith
Genevieve Smith is a DPhil candidate at Oxford University in the International Development department. Her research explores gender-related impacts and opportunities of artificial intelligence using machine learning (ML). In particular, she focuses on if/how ML-based alternative lending apps in India may reinforce gender inequity in low- and middle-income countries and methods to advance more feminist ML tools. Genevieve holds a Master’s in Development Practice from the University of California, Berkeley and works as the Associate Director at the Center for Equity, Gender & Leadership at UC Berkeley’s Haas School of Business. Here, she examines socio-technical questions of how bias in AI is perpetuated through organizational governance and team structures, as well as how to advance equity and inclusion within teams and technology products. She worked previously with UN Women, the UN Foundation, and the International Center for Research on Women exploring topics of women’s economic empowerment, inclusive technology, and digital inclusion. Genevieve is a Research Affiliate at the Minderoo Centre for Technology & Democracy at Cambridge University. Genevieve’s an avid adventurer and can be found skiing, kiteboarding, mountain biking, backpacking or otherwise exploring in her free time! She also loves football (soccer), dancing, and yoga.
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Leah Rothschild
I have an academic background in Political Science, having studied Economics, Development and Governance at Leiden University, the Hague for my undergraduate degree and Politics and Government at St. John’s University, Rome for my masters. Since then, I have focused on honing my skills in the field of Data Science and Machine Learning by following a 12-week-full-time bootcamp with Le Wagon in autumn 2022 during which I learnt about different machine learning models and their applicability. I now work with Le Wagon as a teacher’s assistant and I am excited to participate in this year’s Summer Institute in Computational Sciences to discover how best to connect my two centers of interest in an effort to use Data Science as a tool for research in Social Sciences, in particular Political Analysis.
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Lenard Strahringer
Lenard just finished his MSc in Sociology and Social Research at Utrecht University (Netherlands). In his research, he uses networked experiments and social network analysis to study how socio-psychological and sociological mechanisms bring about network dynamics that explain macro phenomena (such as polarization or social cohesion) in groups and markets. Most recently, he has studied the effects of reputation systems on social cohesion in economic interaction. In the fall, he will be starting his PhD in Organizational Behavior at the Stanford Graduate School of Business. Lenard also holds a BSc in Information Systems from the University of Munster (Germany).
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Marco Fontana
I am a Ph.D. student in legal sciences at the University of Pisa. My fields of research are administrative law, economic public law, and legal technology. My research project focuses on the use of law and technology instruments by public administrations. More in details, I study the possible use and legal issues of existing computational technologies, based mostly on machine learning algorithms, to help public officers in the interpretation of texts of law and the management of administrative procedures. I graduated in law at the University of Milan in 2012. In 2015, I was admitted to the Milan Bar Association and actively practiced law before starting my Ph.D. program, in 2021. I am also collaborating with the Polytechnic University of Milan in administrative, public procurement and data protection law courses. I am interested in learning and experimenting computational social science methods to be applied in the field of analysis of legal texts and legal documents.
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Marta Inácio
Marta Inacio is a Master's student in Human Rights and Democratization, currently enrolled in a joint program offered by the Global Campus of Human Rights and Adam Mickiewicz University. Her research primarily centers around human rights obligations in the development of migration management technologies under EU law. Marta's academic interests extend to neurorights and neuroscience, as well as predictive analytics and its implications, privacy, and labor rights. In addition to her pursuit of a Master's degree, Marta holds a Bachelor's degree in Marketing Management. She aspires to integrate these two fields and foster research in social impact and project management.
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Muhammad Muhammad
I am a master’s student in political science at the University of Mannheim. I obtained my bachelor’s and master’s degrees in water and environmental engineering at Cairo University (Egypt), and then obtained my PhD in civil engineering with a focus on water resources at the University of Texas at Austin (USA). I eventually decided to direct and adapt the quantitative analytical skills obtained from my engineering studies to tackling political and societal problems, and I am currently employed as a research assistant at the Mannheim Center for European Social Research (MZES) as part of the PARFORM project (Partnership Formation in the Context of Recent Refugee Migration). In our research we investigate the question of whether the newly arrived refugee migrants in Germany would consider forming partnerships with the majority population? Or would they search for partners in their country of origin, or among the established ethnic minorities? How would members of the majority and from established immigrant groups perceive and react to partnership attempts of newcomers? Finally, when I am not spending time worrying about democratic backsliding or social cohesion in multi-ethnic liberal democracies, I like to read (especially the philosophy of Nietzsche), go cycling, and discover interesting restaurants!
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Sara Veronesi
Sara is a Master student in Economics at Bocconi University (Milan). Her research interest lies at the intersection between political, behavioral and development economics. In particular, she is now interested in studying the relationship between the increasing salience of divisive political topics in the public debate and the formation and strengthening of stereotypes of disadvantaged groups in Italy. Previously, she worked on a theoretical model that explained how globalization in specific developing countries contexts contributes to the worsening of the already low economic and social progress of women through their higher employment in the grey economy.
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Wafa Khalfan
Wafa Khalfan is an emerging scholar, currently an Assistant Professor of Mass Communication at the University of Sharjah. She completed her doctoral training at the Centre for Cultural Policy Research (CCPR), University of Glasgow (PhD in Media and Cultural Policy). Wafa Khalfan is interested in investigating sociopolitical changes through the lens of media and technology. Her work (in progress) includes research that investigates digital platforms and the influence of technology on journalism. Before joining academia, Wafa Khalfan worked in different roles for more than a decade including the media industry, the public sector and several NGOs in the UAE and the UK.
Weng Lam Ao
Weng is a PhD student in Human Sciences at the University of Modena and Reggio Emilia. She completed her master’s degree in regional planning from Cornell University and received her bachelor’s degrees in urban studies and economics from the University of California, Berkeley. Her research interest lies at the intersection of data science and human-centered research to tackle complex and intractable urban challenges, with a focus on the role of sustainable transportation planning and policymaking in addressing economic, environmental, and social equity. Her PhD research is to analyze active travel behavior through leveraging massive, user-generated social media data. Her study aims to examine the changes in the active mobility behavior of different social groups across different time spans in Italy. Her methodological perspective is multidisciplinary, combining transport management, computational social sciences, social psychology, and spatial planning. She hopes to induce positive behavior changes toward adopting active mobility through social media communication.
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Yawri Carr
Yawri Carr is a master’s candidate at Technische Universität München. Her current work and research focus on responsible development and deployment of AI. Yawri is has been invited a public speaker in different conferences and spaces worldwide such as the Internet Governance Forum, Global Digital Compact, World Summit on the Information Society and a youth conference from the Ministry of External Affairs of Germany, to discuss topics regarding Internet Governance, Artificial Intelligence, responsible innovation, technology in society, digital rights, etc. She is an intern on Digital Governance and AI at a recognized company in Germany, advising on AI projects. Additionally, she’s a digital youth envoy at the International Telecommunication Union (ITU), where she participated in the first ITU youth summit. During the SICCS she’s interested to learn more and apply methods from computational sciences to her current research interests and to bridge the gap between computer science and social sciences/legal.
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Ümit Seven
Ümit is a PhD candidate at Middle East Technical University in Ankara, Turkey. Building on an exploratory sequential design, his research examines the strategies and tools international humanitarian organizations make use of to preserve humanitarian space in Syria. He performed text analysis and multivariate analysis, using R in his research. While pursuing his doctoral degree, he also works for UNDP Turkey country office in Ankara. As a security professional, he has used geospatial data to support the country office to enable effective programme planning, implementation and delivery within the framework of United Nations’ policies and procedures.
Vlad Simon
Vlad is a Software Engineer working in Fintech. He is a Computer Science undergraduate at the University of Rome Tor Vergata.

Singapore

All Participants


Image of Yuanyuan Wu
Yuanyuan Wu
Yuanyuan Wu is a doctoral student in the Department of Communication and New Media at National University of Singapore. Her research interests mainly extend to health-related misinformation, media psychology and media effect. She is particularly interested in exploring media related to alternative medicine.
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Zicheng Zhu
Zicheng Zhu is a doctoral student in the Department of Communications and New Media at National University of Singapore. Her research interest includes digital well-being and game studies, lying at the intersection of communication and human-computer interaction. She is currently interested in understanding players' tension between play and non-play and helping people develop an intentional relationship with technology.
Image of Xin Huang
Xin Huang
Xin Huang is a doctoral candidate from the Department of Information Systems and Analytics, School of Computing, NUS. Her research interests mainly lie in gaming and human-AI/robot interactions. Her current projects focus on the comparing the quality of decisions made by machines versus those by humans, with a specific context in game team formation teams and translation.
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Subhayan Mukerjee
Subhayan Mukerjee is an Assistant Professor at the Department of Communications and New Media, and a principal investigator at the Centre for Trusted Internet and Community at the National University of Singapore. He researches online audiences using computational methods, and teaches courses in quantitative methods, programming, and data visualization.
Image of Renwen Zhang
Renwen Zhang
Renwen Zhang is an Assistant Professor at the Department of Communications and New Media at the National University of Singapore. Her research lies at the intersection of health communication, human-computer interaction, and interpersonal communication. She examines the design, use, and effects of digital technology for promoting wellbeing and mental health.
Image of Cuihua (Cindy) Shen
Cuihua (Cindy) Shen
Dr. Cuihua (Cindy) Shen is a professor at the Department of Communication, University of California, Davis. Her research and teaching interests revolve around the structure and impact of social networks in various online platforms. Methodologically, she frequently uses digital footprint data (big data) in addition to surveys and experiments. Her work has won several Top Paper awards from the International Communication Association. Since 2017, she has served as the Chair and Vice Chair of the Computational Methods Interest Group of the International Communication Association. Currently, she is the Associate Editor of two journals: Journal of Computer-Mediated Communication and Computational Communication Research.
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Lei Guo
Dr. Lei Guo is a professor at the School of Journalism, Fudan University (Shanghai). Previously, she was an associate professor in the Division of Emerging Media Studies at College of Communication, Boston University (BU), USA. She was also an affiliated faculty member at BU’s Department of Computer Science. In 2020, she was appointed as a founding faculty member at BU’s newly launched Faculty of Computing & Data Sciences. Her research focuses mainly on the development of media effects theories, news and information flow, and computational social science methodologies. Her studies have been published in a number of leading peer-reviewed journals such as Journal of Communication, Communication Research, New Media and Society, and Journalism & Mass Communication Quarterly (JMCQ).
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Poong Oh
Dr. Poong Oh is an assistant professor of the Wee Kim Wee School of Communication and Information (WKWSCI). Prior to joining NTU in 2017, he worked as a postdoctoral research fellow at Annenberg School for Communication, University of Pennsylvania. His research focuses on the evolutionary dynamics of social and collective actions and the roles of communication in it. Also, his research interest lies in advanced data analytic methods, including experimental social science, computational methods, and Bayesian analysis.
Image of Subhayan Mukerjee
Subhayan Mukerjee
Dr. Subhayan Mukerjee is an Assistant Professor at the Department of Communications and New Media, and a principal investigator at the Centre for Trusted Internet and Community at the National University of Singapore. He researches online audiences using computational methods, and teaches courses in quantitative methods, programming, and data visualization.
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Prasanta Bhattacharya
Dr. Prasanta Bhattacharya is a Research Scientist and Innovation Lead with the Social and Cognitive Computing Department at the Institute of High Performance Computing (IHPC), A*STAR Singapore, where he works on network science and behavioral analytics. Prasanta holds a Ph.D in Information Systems from the Department of Information Systems and Analytics, National University of Singapore, where he studied network science with a special focus on predictive and inferential methods in large social networks. His current research agenda aims at understanding the role of big data in emerging social and business applications from finance, education and healthcare. Prasanta actively collaborates with major industry partners from around the world, and has presented his research in leading computer science, information systems and marketing science venues.
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Tian Yang
Dr. Tian Yang is an assistant professor at the School of Journalism and Communication, the Chinese University of Hong Kong. His research lies at the intersection between digital media, political communication, and computational social science, which particularly looks at people’s news consumption and information behaviors in the current new media environment across the globe.
Image of Anfan Chen
Anfan Chen
Anfan Chen is a Research Assistant Professor at the School of Communication, The Hong Kong Baptist University. His research field includes Computational Communication and Political Communication, and Science Communication. In addition, his work applies computational method to understand the nuances and dynamics of controversial/emerging science social discussion, online social participation, and online health behavior. His research has been published in peer-reviewed journals, including Journal of Computer-Mediated Communication, International Journal of Politics/Press, Science Communication, Public Understanding of Science, Journal of Public Relations Research, Public Relations Review, Social Science Computer Review, among other peer-reviewed journals.
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Zhuo Chen
Dr. Zhuo Chen is an Assistant Professor at the HSBC Business School, Peking University. His research investigates the socioeconomic and political implications of communication technologies.
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Chao Yu
Chao Yu is a Visiting Lecturer in the Department of Communication at Cornell University. Yu’s research interests include online communication behaviors with a focus on individual motivations in crowdsourcing platforms and their impacts on collective behaviors. He is especially interested in topics of social status, homophily, and inequality. Yu earned a B.A. in Journalism from Peking University, a M.S. and a Ph.D. in Communication from Cornell University.
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Han Li
HAN LI is a postdoctoral research fellow in the Department of Communication and New Media at National University of Singapore. Her research focuses on AI in healthcare, computational communication, human-computer interaction, and online support communities. As a computational and mixed-method researcher, she used a wide variety of research methods to explore how information and communication technologies can be designed and used to improve health and well-being, enhanced social relationship, and contribute to social good.
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Ashley Chenn
Ashley Chenn is a doctoral student in the School of Fashion and Textiles at The Hong Kong Polytechnic University. Her work spans data ownership and privacy, entrepreneurial marketing, and consumer co-creation in Web3 environments. Prior to returning to academia, Ashley worked as a digital marketer for Adobe and with an ESG startup.
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Bhargav Nimmagadda
Dr Nimmagadda Bhargav earned his PhD from the Department of Communication, University of Hyderabad. He teaches at the Manipal Institute of Communication, Manipal Academy of Higher Education, Udupi, Karnataka, India. Bhargav’s ethnographic research on Indian-language journalism is published as a monograph, “Stringers and the Journalistic Field: Marginalities and Precarious News Labour in Small-Town India”, by Routledge.
Image of Han Wei (Ken) Tan
Han Wei (Ken) Tan
Han Wei (Ken) is a master’s student in the Department of Communication and New Media at National University of Singapore. His research interests lie in online collaborative learning and educational technology. He is currently exploring how individuals learn through engaging in discussions on social media utilising topic modelling and social network analysis.
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Liang Ze Wong
Liang Ze is research scientist in the Social & Cognitive Computing Department of the Institute of High Performance Computing. His background is in mathematics, and his interests are in natural language processing, network analysis and data analysis. He is also an adjunct assistant professor at the National University of Singapore's Business School.
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Lianshan Zhang
Lianshan Zhang is an Assistant Professor in the School of Media and Communication at Shanghai Jiao Tong University. She received Ph.D from National University of Singapore and M.S. from Iowa State University. Her research is at the intersection of health communication, human-computer interaction, psychological effects and social impact of emerging media. Her recent research focuses on older adults’ new media use and digital inclusion in the era of AI.
Image of Narayani Vedam
Narayani Vedam
I am a computational social scientist working with agent-based models to understand the impact of human mannerisms on the virtual and physical communities they inhabit. In the past, I have worked on human-like automotive speed control, opinion formation in virtual social platforms, and disease spread in communities. I am keen on exploring top-down, and bottom-up modelling approaches to social and behavioural studies.
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Mengxia Nova Huang
Nova is a PhD student at Nanyang Technological University. Her research focuses on social media and health communication. Specifically, she is interested in how users, especially vulnerable populations, conduct supportive communication in online communities and the corresponding health outcomes.
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Qiaofei Wu
Qiaofei Wu is a PhD candidate in Communication at NUS. His research focuses on how human’s communication behaviors trigger psychological and behavioral processes that contribute to well-being. He is interested in understanding how media, information, and technologies can be employed to promote social participation and improve health outcomes.
Sakaria Auelua-Toomey
Sakaria Laisene Auelua-Toomey is a PhD candidate in the Department of Psychology at Stanford University. His research focuses on identifying and dismantling systems of advantage by examining the ways in which different contexts shape marginalized groups meta-beliefs.
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Xiayu Summer Chen
Xiayu Summer Chen is a doctoral student in Social Work at the University of Illinois at Urbana-Champaign. Her research focuses on reducing health disparities among older adults through the implementation of technology-based interventions. Her most recent work examines the longitudinal impact of technology usage on cognitive functioning among older adults.
Image of Xiaoya Fu
Xiaoya Fu
Xiaoya Fu is a Ph.D. candidate at Renmin University of China and a joint Ph.D. candidate at the National University of Singapore. Her research interests lie in interactive technology, media effects, and media psychology. She explores the intersection of machine learning, network analysis, and social science to understand social inequality, user experience, and the impact of interactive communication technologies. Xiaoya holds a bachelor's degree from the Communication University of China.
Image of Xiaoxiao Meng
Xiaoxiao Meng
Xiaoxiao Meng is an Assistant Professor in the College of Arts and Media at Tongji University. She received her Ph.D. in communication from Shanghai Jiao Tong University and a visiting scholar at National University of Singapore. Her research interests include privacy studies, digital governance, and media effects.
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Xiaofen Ma
Ma Xiaofen is Assistant Professor of Journalism and Communication at Renmin University of China, and she is affiliated with Research Center ofJournalism and Social Development. Her research interests include information security, privacy, and risk communication.
Image of Yiyan Zhang
Yiyan Zhang
Yiyan Zhang is an assistant professor at the School of Journalism and Communication at Renmin University of China. She earned her Ph.D. degree in Emerging Media Studies from Boston University. Her research focuses on digital media effects, international communication, and computational communication connecting traditional and computational social science methods.
Image of Yuanxin Wang
Yuanxin Wang
Yuanxin Wang is an assistant professor at Minzu University of China. She received her PhD degree from School of New Media at Peking University and she was a visiting scholar in SONIC, Northwestern University. Her current research focus on the the human-machine communication, especially to explore the relationship between human and AI machine (AIGC). She draws upon computational methods to understand how HMC can affect intimate relationship.
Image of Yunbo Mei
Yunbo Mei
Yunbo Mei is a Ph.D. candidate studying sociolinguistic phenomenon at the National University of Singapore. Her research interest focuses on variation phenomena in Mandarin and English, in particular, sociolinguistic variation on social media, the sociophonetic construction of style, and English teachers’ stylistic variation. Her dissertation revolves around the agentive self-representations of Chinese English teachers through their English pronunciation.
Image of Zhuoman Li
Zhuoman Li
Zhuoman(Gemma) Li is a doctoral student at Nanyang Technological University's Wee Kim Wee School of Communication and Information. Her current research interest user trust in large language model-based AI, particularly in dialogue systems like ChatGPT. She has broad interests in computational methods and AI-related studies. Prior to beggining her Phd, she obtained her MA in Digital Humanities from King's College London.
Image of Yi Ting Chen
Yi Ting Chen
Yi Ting Chen is a research assistant at the Centre for Trusted Internet and Community in the National University of Singapore. Her research interests include computational communication, social media and news. She is particularly keen in exploring the impact of regulations on news production and consumption.

South Florida

All Participants


Image of Kat Albrecht
Kat Albrecht
Kat Albrecht is an Assistant Professor in the Department of Criminal Justice and Criminology in the Andrew Young School of Policy Studies at Georgia State University. Dr. Albrecht’s work sits at the intersection of computational social science and law, where she uses innovative computational techniques to study fear, violence, and data distortions. She is particularly interested in the nexus of fear and risk-taking behaviors, digital trace data, and the impact of law on decision-making. She frequently serves as a computational science expert for the defense on active legal cases about life without the opportunity of parole, felony murder, gang enhancements, and the Racial Justice Act. She is presently a Fellow with CJARS where she is conducting research on felony case processing speeds across the United States.
Image of AJ Alvero
AJ Alvero
AJ Alvero is a computational social scientist at the University of Florida Department of Sociology, Criminology & Law and a Visiting Fellow at the Institute for Data Science & Computing at the University of Miami. His primary interests are in in language, race/ethnicity, culture, and education. His current research uses computational techniques to analyze college admissions essays and model the social patterns within them. AJ’s future research plans include investigations into machine translation and multilingualism, social media and counter hate speech, and California parole hearing transcripts. Prior to entering academia, AJ was a high school teacher in Miami, FL.
Image of Kevin Lanning
Kevin Lanning
Kevin Lanning is a Professor of Psychology and Data Science at the Wilkes Honors College of Florida Atlantic University. His research uses simple tools in natural language analysis and network analysis to understand complex social and psychological phenomena. In his spare time, he is training for his first marathon.
Image of Candace Cunningham
Candace Cunningham
Candace Cunningham is an Assistant Professor of History at Florida Atlantic University, where she teaches courses in U.S. History, African American History, and Public History. Her research is on the 20th century African American experience with a special emphasis on civil rights, education, gender, and the South. She is currently working on a manuscript about African American teachers who were in the long civil rights movement.
Image of Ivan Garibay
Ivan Garibay
Ivan Garibay is an Associate Professor at the University of Central Florida, where he directs a number of programs including the UCF AI and Big Data Initiative, the MS in Data Analytics program, and the Complex Adaptive Systems lab. He uses computational tools to model complex socio-technical systems such as social media and artificial social intelligence, and is interested in a wide range of methods and problems in computational social science.
Image of Jae Yeon Kim
Jae Yeon Kim
Jae Yeon Kim is a Senior Quantitative Researcher at Code for America who helps team efforts to improve safety net experiences and outcomes. He earned his Ph.D. in political science from UC Berkeley. His dissertation received the Best Dissertation Award in Urban and Local Politics from American Political Science Association. Since 2020, he has been involved in the Mapping Modern Agora Project at the SNF Agora Institute at Johns Hopkins University, which uses big data and machine learning to map the US civil society at scale. In 2022, he was an assistant professor of data science at the KDI School of Public Policy and Management in South Korea. Jae loves using data to solve public problems and strengthen civic engagement.
Image of Mark Tunick
Mark Tunick
Mark Tunick teaches political theory, ethics, and constitutional law at FAU’s Harriet L. Wilkes Honors College. He received his Ph.D. in political science from the University of California, Berkeley, and previously taught at Stanford University. Many of his publications apply key figures in the history of political philosophy—Hegel, Kant, Locke, Mill—to topics of current importance such as privacy, punishment, property rights, and the right to bear arms. He is interested in the threat posed to reasonable expectations of privacy by surveillance in public places, the use of facial recognition technologies, and widespread collection of data for later use. Recently he developed an interdisciplinary undergraduate course on ethical issues raised by artificial intelligence such as liability issues of self-driving cars or drones, economic impacts of artificial intelligence, ethical concerns with predictive analytics using big data, and the ethical status of robots.
Image of Ahmad Abdelnabi
Ahmad Abdelnabi
Ahmad Abdelnabi is a doctoral student in Modeling and Simulation at University of Central Florida. His research interests include Human Centered Engineering, Agent-Based Modeling, Machine Learning, and Operations Research. He holds a BSc in Industrial Engineering from Yarmouk University and a MSc in Industrial Engineering from Jordan University of Science & Technology
Image of Sina Abdidizaji
Sina Abdidizaji
I am a PhD student in the Industrial Engineering and Management Systems department at the University of Central Florida. I work in the Complex Adaptive Systems laboratory which focuses on using computational algorithms to explore complex networks. Before my PhD, I worked as a system analyst of online trading platforms. As I majored in Financial Engineering for my master’s, I did my dissertation on identifying statistical arbitrage opportunities in stock markets.
Image of Seun Ajoseh
Seun Ajoseh
Seun Ajoseh is a sociology doctoral student at the University of Florida. His research interests include social determinants of health, maternal health, and migration. He seeks to employ computational methods to understand health narratives on social media. Seun holds an MS and BS in sociology from Lagos State University.
Image of Abhay Alaukik
Abhay Alaukik
Abhay Alaukik is a Social Psychology doctoral student at the University of Florida in the Attitudes & Political Cognition, and Cognition & Decision Modeling labs. He is broadly interested in political and moral psychology, with a focus on the spread polarization and extremism based on rational decision processes. He received his BA in Psychology from the University of Kansas and his MS in Psychology from the University of Florida. He is interested in using computational formal models to specify theories about complex social processes.
Image of Debarshi Datta
Debarshi Datta
Dr. Debarshi Datta is a Senior Research Fellow at the Christine E. Lynn College of Nursing at Florida Atlantic University (FAU). He holds a doctoral degree in Experimental Psychology from the Behavioral Science Department at FAU. He has experience working as an AI-driven decision support system in different domains, including healthcare, business, insurance, and image processing. He possesses technical skills in the complete data science cycle: problem statement, data disputes, exploratory data analysis, modeling, evaluation, data visualization, and data storytelling. During his tenure as a Senior Research Fellow, he analyzed data from electronic medical records (EMRs), survey data, and various cross-sectional and retrospective datasets to understand disease prevalence. Moving forward, it focuses on utilizing data-driven domains, such as machine learning, on understanding a population-based prognosis for modeling disease progression.
Image of Ansley Davis
Ansley Davis
Ansley Davis is a Ph.D. student in Communication Sciences and Disorders at the University of South Florida. She studies the interaction of cognition and language in learning patterns for school-aged children and adolescents. She is particularly interested in using eye-tracking methodology to study language processing.
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Jonathan Doriscar
Jonathan Doriscar is a social psychology doctoral student at Northwestern University. He researches how people regulate threats to the moral self. Most of his work focuses on white people's defensiveness to conversations/information that suggests they might be racist. In addition to his doctorates he is pursuing a masters in statistics. This masters focuses on data science, as his he utilizes a variety of computational methodology in his work. Before joining, Northwestern he received his B.A. from Knox college in psychology with a minor in composition & rhetoric.
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Coral Flanagan
Coral Flanagan is a doctoral student studying higher education policy at Vanderbilt University. Her work focuses on how state- and institution-level policies impact postsecondary access and success, particularly for multilingual students. She is interested in using natural language processing to study the role of text-based elements in undergraduate admissions. Prior to graduate school, Coral taught high school English in Providence, Rhode Island.
Chad Forbes
Chad E. Forbes, Ph.D., is a social neuroscientist, associate professor of psychology, and the Associate Director and Director of Research Development and Diversity for the FAU Stiles-Nicholson Brain Institute. Dr. Forbes has studied the consequences of bias on stigmatized individuals’ career pursuits and health for more than 20 years.
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Madhwa Galgali
Madhwa Galgali is a doctoral student at University of Missouri. His mostly concerned with existential motivations underlying shared belief systems such as religion and conspiracy beliefs and his work has examined regulation of religious intuitions following mortality salience and of interpersonal isolation, moral intuitions and ideology underlying conspiratorial mindsets.
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Dilara Hekimci-Adak
Dilara Hekimci-Adak is a part-time lecturer in political science at both Florida International University and the University of Miami. She teaches courses in American government, comparative politics, democratic erosion, populism, and political institutions. Dr. Hekimci-Adak recently earned her Ph.D. in political science at FIU. Her dissertation focused on the opposition strategies against populist exclusion in Turkey and Hungary. Her research interests include political parties, populism, opposition, and de-democratization in developing nations. She is currently conducting research on the use of social media as an alternative platform for opposition campaigns in hybrid regimes, where populists are in power, utilizing computational techniques.
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Rafael Hurtado
Rafael Hurtado, formerly a naval officer in the Colombian Navy, obtained his MSc degree from the World Maritime University in Malmo, Sweden. He is pursuing a Ph.D. in Security Studies at the University of Central Florida. Rafael's research interest is to explore the connection between marine ecosystem services and social phenomena, employing agent-based and other numerical models as analytical tools.
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Jinpeng Li
Jinpeng Li is an M.A. student in Journalism and Media at the University of Texas at Austin. His passion lies in integrating journalism, finance, and computational methods to create investigative stories. He specializes in data analysis and visuals, drawing from his experience as a former business journalist intern at Yicai Media and Caixin Media in China. Jinpeng is a recipient of the Walt Disney Fellowship in China.
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Samantha McKinney (Gnall)
Samantha is a PhD student in Experimental Psychology at Florida Atlantic University. Her research interests include impression formation, stereotype transmission, and intergroup helping behaviors. Currently, she is investigating the link between helping orientations and help seeking in underrepresented groups in STEM as it relates to identity and performance.
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Eli McKown-Dawson
Eli McKown-Dawson is an undergraduate student at Florida State University studying political science and statistics. He is also a Research Fellow with the LeRoy Collins Institute and a Contributor at YouGov. Eli's research focuses on survey methodology, U.S. voting behavior, and how election laws impact voters' confidence in election administration.
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Soyoung Park
Dr. Soyoung Park is an Assistant Professor of the Hospitality and Tourism Management Program and an affiliate faculty member of the Peace, Justice, and Human Rights Initiative Center at Florida Atlantic University. With a Ph.D. in Tourism Management (graduate minor in Social Data Analytics) from the Pennsylvania State University and an M.S. in Economics from Korea University, she takes a computational social science approach to her teaching and research. Her research utilizes big data analytics to investigate social issues in tourism and hospitality, particularly those affecting marginalized populations.
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Maria Cristina (MC) Ramos
Maria Cristina Ramos is an Assistant Teaching Faculty at Florida State University’s Interdisciplinary Social Science Program. She obtained her Ph.D. in Sociology from Duke University. Her research primarily focuses on exploring identity processes. She also uses network analysis to study diverse phenomena including social-ecological systems and health applications.
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Jieun Shin
Jieun Shin is an Assistant Professor in the Department of Media Production, Management, and Technology in the College of Journalism and Communications at the University of Florida. She teaches and researches social media dynamics with a focus on the spread of misinformation and fact-checking.
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Inna Smirnova
Inna Smirnova is a postdoctoral research fellow at the University of Michigan School of Information, holding PhD in Management from the University of Vienna in Austria. Her research explores how managers can use organizational design choices (e.g., the reward structure, evaluation processes, or delegation of authority) to improve the supply and retention of innovators and, ultimately, organizational performance. She examines these topics in settings ranging from online communities, including GitHub and Stack Overflow, to academic science, using methods ranging from quantitative data analysis to survey-based studies to online and field experiments.
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Jordan Thompson
Jordan Thompson is pursuing a PhD in Experimental Psychology at Florida Atlantic University. Her research focuses on political psychology, with an emphasis on affective polarization and prejudice. Jordan is interested in incorporating web scraping and "big data" into her research.
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Ben Trautman
Ben Trautman is a PhD Candidate at Florida Atlantic University's School of Public Administration. He has an interest in linguistic processes and communicative practices found in public sector organizations. His current research compares organizational culture with popular theories looking for similarities with the assistance of artificial intelligence tools based on semiotic models. Prior to his studies at FAU, Ben has had a two-decade career with the U.S. Coast Guard.
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Aaron Trujillo
Aaron Trujillo is a doctoral student at George Mason University. His work examines health campaigns. He wants to use big data and machine learning to understand immigrants’ navigation of the healthcare system, informatics and sentiment analysis of social media posts and information diffusion. His MA is in Communication from KSU.
Geoffrey Wetherell
Geoffrey Wetherell is an Assistant Professor of Psychology at Florida Atlantic University. His research examines how stereotypes about groups relate to public policy preferences and perceived value differences as a contributor to partisan conflict. He is also interested in the moral component of world views.
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Boyuan Zhao
Boyuan Zhao is currently pursuing a Ph.D. in Public Administration at Florida International University. His research interests focus on electronic governance and science and technology in government. His dissertation examines how information and communication technology (ICT)-enabled online crowdsourcing system facilitates public services and civic engagement.

Syracuse

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Tokyo

All Participants


Image of Hirokazu Shirado
Hirokazu Shirado
Hirokazu Shirado is Assistant Professor of the Human-Computer Interaction Institute in the School of Computer Science at Carnegie Mellon University. He received his doctorate in Sociology at Yale University, where he was a member of the Yale Institute for Network Science. His reseach interests include social networks and computational social science. He is particularly committed to the experimental study of cooperative behaviors as they manifest through interactions between people located within social networks.
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Atsushi Ueshima
Atsushi Ueshima is a postdoctoral fellow of the Japan Society for the Promotion of Science (JSPS) and now working in the Human Nature Lab at Yale Sociology. His current research interests lie in collective decision-making and mean-making process in human groups. He combines online experiments and natural language processing to study how people generate, share, and maintain social norms and culture. He uses methods from psychology, sociology, and computational social science.
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