People
Faculty
Speakers
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.
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.
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).
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.Teaching Assistants
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.Participants
Zhang Chen
Zhang Chen is pursuing a Ph.D. in Internet Information at the Communication University of China. Zhang's research interests span disaster communication, online communities, social media, and computational social science.
Mingqiu Zheng
Mingqiu Zheng is a doctoral student in political science at School of Government and International Affairs, Durham University. His work lies at the intersection of political geography and online cultural production, including the discursive construction of spatial representation, spatial hierarchies, and group allegiance. His dissertation looks into the regionalised nationalism in digital China that connects the sub-national regionmaking to the political project of national Identity. Methodologically, he employs the large language model to dealt with the data corpus of online political expressions for topic modelling and generating semantic networks.
Yichen Wang
Yichen is a PhD student at Cornell University. She studies in the field of Psychological Sciences & Human Development. Her research interests lie in interpersonal relaitonships, positive experience, stress and resilience, Developmental Psychology, Human Computer Interaction.
Sam Deng
Sam Deng is a third-year PhD candidate in the Psychometrics and Quantitative Psychology Program at Fordham University in the States. She received her bachelor's degree at George Washington University, where she double majored in statistics and psychology. Her research interests are in machine learning, artificial intelligence, and quantitative psychology theories, such as structural equation modeling and item responses theory. Specifically, she’s interested in Game-based assessments (GBAs), where game components are adapted into traditional assessments. She believes that GBAs can help test takers reveal their true abilities, which improves test reliabilities.
Yun Chen
Yun Chen is a PhD candidate in Personality and Social Psychology at Beijing Normal University. Her current research focuses on promoting pro-environmental behavior and climate action at both individual and group levels. Before her PhD, she received her master's degree in School Psychology from Capital Normal University, where her research investigated the effects of reward prediction error on episodic memory.
Wenjia Tan
Wenjia Tan is an upcoming computer science master's student at the University of Macau. She is curious about the nature of intelligence. Her current research compares AI and human evaluations of children's learning to develop more effective and human-centered AI tools. She has worked at Tsinghua University for five years as a Lab Manager and Assistant Engineer. Involved in several research projects funded by the NSFC, companies, and NGOs, she collaborated with labs and produced papers, products, and white papers. Additionally, she established an online research platform to promote a win-win relationship between the public and scientists.
Yuelin Wang
Yuelin Wang doing her PhD study of Political Communication in Technical University Munich. She was graduated from Victoria University of Wellington and Cardiff University. She's research interest includes Climate Change, social media communication and crisis communication.
Xuanyu Shi
Xuanyu Shi is a PhD student at the Institute of Transdisciplinary Studies at Hong Kong Baptist University. Currently, his research interests lie in the AI value alignment, computational social science, and complex network in social science. His scholarly contributions have been recognized in top-tier conferences such as ICA, AEJMC, and IAMCR.
Jiahui Liu
Jiahui Liu is a graduate student in Communication at the Communication University of China. Her research focuses on the dark sides of AI-mediated communication, such as AI-driven misinformation, synthetic media and deception, and unhealthy human-AI interactions. She aims to mitigate the threats arising from the misuse of AI. Her research has been published in journals and conferences such as Global Media and China, ICA, and IAMCR. Currently, she is conducting research on the role of social bots in feminist discussions.
Wei Wang
Wei Wang has been engaged in computer work for many years, from early desktop Win32 application development to Web application development, and then to ecological based digital applications. Currently, he is working on various text-based applications and has a certain understanding of text and natural language processing. Currently, he is conducting practical work on large language models.
Siyi Gong
Siyi Gong is a second-year PhD student in the Communication Department at the University of California, Los Angeles. Her research is situated at the intersection of communication, cognitive science, and computational modeling, with a particular focus on collective intelligence based on visual common ground. Her recent work primarily explores how people collaboratively address challenges in communication when it becomes difficult and overloaded. Additionally, Siyi is interested in integrating artificial intelligence into her studies to examine the dynamic interplay between machine and human intelligence.
Yuqing Shi
Yuqing Shi is a Ph.D. student in Psychology at the National University of Singapore. She holds an M.S. in Cognitive Neuroscience and a B.S. in Psychology from Beijing Normal University. Her research interests focus on social cognition, particularly on how conceptual knowledge influences trait inferences and the organization of trait space during the dynamic process of impression formation.
Rui Cao
Rui Cao is a PhD candidate in the Department of Sociology and a graduate affiliate of the Institute for Population Research at Ohio State University. She is broadly interested in gender, family, and education. Her research focuses on (1) the role of family dynamics and school processes in exacerbating or alleviating existing disparities in cognitive and non-cognitive abilities across racial and social class groups, (2) the gendered consequences of family structures during adolescence and adulthood, and (3) the implications of motherhood on midlife women's health.
Muhua Huang
Muhua Huang is a master's student in Computational Social Science at the University of Chicago, holding a bachelor's degree in Computer Science and Psychology from the University of British Columbia. Her research interests lie in advancing computational methods for behavioral science and leveraging social science theories to understand AI agents' behaviors. She employs machine learning, natural language processing, and structural equation modeling in her work. Currently, she focuses on two main areas: (1) designing AI agents with distinct personalities using a psychometric approach and (2) examining the value systems of large language models through multi-agent interactions.
Xi Cheng
Xi Cheng is a doctoral student at Beijing Normal University, specializing in the cognitive structure of social knowledge. She recently developed a qualitative tool to measure social relationships. Utilizing text analysis and large language models, she explores the historical evolution of social cognition. Additionally, she is interested in the science of science, with a particular focus on individual differences in researcher cooperation.
Zhaonan Wang
Zhaonan Wang is an incoming Assistant Professor to NYU Shanghai. His research interests lie in the interdisciplinary area of AI-urban science; he has published over 20 papers on top-tier AI data mining conferences and journals. Zhaonan has just finished postdoc at University of Illinois Urbana-Champaign, where he led the Geospatial AI team at CyberGIS Center. Zhaonan obtained his PhD in 2022 at Center for Spatial Information Science, the University of Tokyo, where he was awarded the Japanese Government (MEXT) scholarship. Zhaonan was also one of 37 nominees who were admitted to Peking University with College Entrance Exam exempted in Beijing 2010.
Cai Yang
Cai Yang is an incoming PhD student at the College of Information Studies at the University of Maryland, College Park. His research interest is politically oriented computational social science for improving online information ecosystems. Previously, he was a research intern at the Max Planck Institute for Software Systems on the Saarland Informatics Campus, where he worked on analyzing TikTok addiction through data donation. He obtained his Bachelor's degree from the Australian National University.
Deliang Wang
Deliang Wang is a Year 2 PhD candidate in the Faculty of Education at The University of Hong Kong. His research directions lie on AI and explainable AI in education, such as using AI and explainable AI to model and interpret educational dialogue and learner models. His publications appear in prestigious journals and conferences, such as IEEE Transactions on Learning Technologies, British Journal of Educational Technology, Educational Technology & Society, Education and Information Technologies, AIED, and AAAI conferences.
Youhan Ding
Youhan Ding is a research and international affairs programme specialist of Beijing Film Academy. Graduated from Scripps College in 2017 with a BA in Politics and Economics and New York University in 2020 with a MA in International Relations. Beyond her work in international communication and exchange, she has developed an interest towards the discussion and research on technology (especially generative AI), cultural studies and film as her work of the UNESCO Chair on Cinematic Arts and Cultural Diversity deepens and as she takes part in more international discourses about AI and education, and arts, etc.
Yingru Ji
Yingru Ji (PhD) is a ZJU100 Young Professor and doctoral supervisor in the College of Media and International Cultures at Zhejiang University. Her research focuses on human-machine communication and strategic communication. Recently, she has concentrated on the communication strategies, agency, and relationships of generative AI-based conversational chatbots with humans. She is the author of the forthcoming book, "Attribution Bias: The Public Opinion Psychology in the Social Media Era." Her work has been published in top-tier communication journals such as New Media & Society and has won top paper awards at prestigious international communication conferences such as ICA and AEJMC.
Desheng Hu
Desheng Hu is a PhD candidate in computer science at University of Zurich, co-advised by Prof. Aniko Hannak and Prof. Christo Wilson, with research interests in social computing, applied machine learning, algorithm auditing, and with applications in search engine and social media. Serving as leading authors, he published and presented several papers on top conferences such as WWW, ACM WebSci, AAAI ICWSM; and delivered invited talks about his work at top Internet companies such as Twitter Inc. and talked at academic events like Stanford's Trust & Safety Research Conference. He enjoys that the measurements conducted in his projects can offer real-world guidance for system designers or policy-makers to help make intelligent systems fairer, more transparent, and accountable.
Yun Wu
Yun Wu is a postdoctoral researcher at the Chinese Academy of Social Sciences. Her research focuses on youth development and how technologies have been shaping individuals' emotional wellbeing. She is interested in using big data and computational techniques to understand young people's purpose development and wellbeing.
Jingwei Yi
Jingwei Yi is a fourth-year joint Ph.D. candidate between Microsoft Research Asia (MSRA) University of Science and Technology of China (USTC). Her research interests lie within responsible AI research problems, especially the societal, safety and security problems related to large language models.
Jiaying Liu
Jiaying Liu is a doctoral candidate in the Department of Psychology at Beijing Normal University, where she is deeply engaged in the study of group dynamics and intergroup processes. Her current research delves into the ways in which men can be effectively engaged in the gender equality movement, as well as the impact of patriarchal structures on individuals' cognition and perceptions of interpersonal relationships. She holds a Bachelor of Science degree from South China Normal University.
Yuanming Tao
Yuanming (Alex) Tao is a PhD student in applied mathematics in the School of Mathematics and Statistics at The University of Sydney. His research focuses on understanding the meso-scale organization of complex networks beyond assortative communities by virtue of methods in network science and natural language processing.
Ruomeng Liu
Ruomeng is currently an undergraduate student at University of Chinese Academy of Social Sciences, and an incoming MPhil student at the Journalism and Media Studies Centre, The University of Hong Kong. He is interested in political communication, media cognition and computational methods. His current research focuses on the people's decision-making in the context of high-choice media environment, and its political and societal implications.
Ziye Wang
Ziye Wang is a PhD candidate in Communication at Beijing Normal University. As an interdisciplinary researcher in Communication and Psychology, she is interested in integrating the quantitative methods and technologies from computational social science and psychology with Communication research questions, aiming to gain insights from macro-meso-micro perspectives. Her research interests span intelligent communication, computational communication, the usage of intelligent media, and measurement of communication effects.
Mingyuan Li
Mingyuan Li is currently pursuing her PhD in Comparative Politics at the Chinese University of Hong Kong, with a focus on consequences of context on civic behaviour and research methods. She earned her master's degree in Comparative Politics from the London School of Economics and Politics in 2023, following her bachelor's degree in Statistics and Political Studies from Queen's University.
Shiyao Wei
Shiyao Wei is a doctoral student in Instructional Design and Learning Technology at Florida State University. Her research focuses on collaboration in informal learning environments. She's interested in how people engage in informal learning, such as seeking and sharing information online, participating in crowdsourcing competitions, and undergoing peer review processes. She also explores how technology aids or obstructs these processes.
Junjie Liu
Junjie Liu is currently a PhD student at Trinity College Dublin and investigating conflict forecasting and he holds an MPhil degree in Probability and Mathematical Statistics from Hong Kong Baptist University. His research interests include conflict research, statistical inference, spatio-temporal model, natural language processing, and computer vision.
Yiran Hu
Yiran Hu is a research fellow in the University of Hong Kong. Before joining in HKU, she graduated from Tsinghua University as an outstanding graduate student. Her research interest lies in computational law, particularly in the field of Knowledge-centric NLP and Technology Policy. Her work has won "CIKM2023 Best Resource Paper Honorable Mention". She is deeply invested in exploring the policy implications of AI safety, taking into account the potential risks and ethical dilemmas posed by the use of Large Language Models within the realm of social sciences. She aspires to push the boundaries of legal AI and contribute to the creation of safe, reliable AI systems that integrate seamlessly into daily life.
WANG Shuang
WANG Shuang is a second-year PhD student at the Education University of Hong Kong. Her research interests include cultural psychology and moral psychology. Her recent research is about how culture affects moral judgment, especially blame judgment.
Dan Gilles
Dan Gilles is an MA candidate at the University of Chicago in Computational Sociology. His previous focus was philosophy, with a BA in Philosophy and an MA in Eastern Classics from St. John's College. His research attempts to integrate ancient disciplines with modern computational methods in order to explore sociological topics such as the evolution of happiness in America. He is also interested in international relations, and lived in Beijing for nearly 10 years before Chicago.
Yanyu Chen
Yanyu Chen is a Ph.D. student in the Faculty of Psychology at Beijing Normal University, where she is deeply engaged in the study of social psychology. Her current research interests focus on time poverty, time use strategy, decision making, and adolescent mental health. Additionally, she is also interested in the analysis of longitudinal data.
Yufeng Zheng
Yufeng Zheng is a Ph.D. candidate at the University of Toronto, specializing in Operations Management and Statistics. His research focuses on innovative decision-making methods within complex systems, emphasizing operations management, machine learning, and their intersections with computational sociology and deep learning. His work includes projects on adaptive methodologies, online learning, and revenue management.
Yuxin Hou
Yuxin Hou is an incoming PhD student at Peking University. She obtained her bachelor's degree in Mechanical Engineering and her master's degree in Education from Tsinghua University. Her research interests include the application of natural language processing in social science research, including social media analysis, political science, and human behavior.