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.
Wonjae Lee is an assistant professor at the Graduate School of Culture Technology, KAIST. He received his Ph.D. in sociology from the University of Chicago. Prior to joining GSCT, he was a senior researcher in the Department of Sociology at Seoul National University and a research associate at the Booth School of Business, University of Chicago. His research interests include social exchange theory, social network analysis, computational social science, and economic sociology. He has authored and co-authored several publications in PNAS, Harvard Business Review, and more.
Jae Yeon Kim is an Assistant Professor of Data Science at the KDI School of Public Policy and Management. He is also affiliated with the SNF Agora Institute at Johns Hopkins University, where he was a pre- and postdoctoral fellow. He received his PhD in political science from the University of California-Berkeley, where he was a Senior Data Science Fellow at Social Science D-Lab. He studies power, inequality, and political change drawing on computational, experimental, and archival methods. He has published widely in leading political science and computational social science journals. Jae Yeon also co-developed MapAgora, an R package that helps collect, process, and combine various data on U.S. nonprofits at scale.
Hyejin Youn is an associate professor at Kellogg School of Management at Northwestern University, and Northwestern Institute on Complex Systems (NICO). She is also an external faculty at Santa Fe Institute. Before Northwestern, she was a research fellow at Harvard Kennedy School, and at MIT Media Lab, and a senior research fellow at Mathematical Institute at University of Oxford, and Institute for New Economic Thinking at the Oxford Martin School. Her PhD is in Statistical Physics at KAIST. Her research aims to develop a mathematical and computational framework to understand complex systems.
Sung Eun Kim is an Associate Professor of Political Science and International Relations at Korea University. She received her PhD in political science from Columbia University. She specializes in international political economy, with a focus on the intersection of domestic politics and international relations. Her research examines the relationships between and among economic globalization, information, political elites and individual political behavior, drawing upon a wide array of quantitative and text-based data.
Daegon Cho is an Ewon Associate Professor of Information Systems at KAIST College of Business. He received a PhD in information systems and management from Carnegie Mellon University’s Heinz College. His research topics are business analytics, economics of IT, and applications of AI/ML to businesses. His research appeared at Information Systems Research, Marketing Science, Production and Operations Management, and Journal of the AIS and other journals.
Hyunjin Song is an assistant professor at the Department of Communication at Yonsei University, Seoul, South Korea. Previously, he earned his PhD in communication at the Ohio State University. After finishing the PhD, he was an Universitätsassistent, post-doc in the Department of Communication at the University of Vienna. Also, he has been a member of Vienna Computational Communication Science Lab. He is interested in the role of interpersonal political discussion network and its effect on political behaviors, including voters' attitudes and their electoral engagements. On the other side, he is also working on computational methods and advanced quantitative analysis, including linear conditional modeling, multilevel modeling, and statistical inferences of network data.
Jinyoung leads the Data & Analytics (DnA) team at Naver Search which solves challenging data and analytical problems faced by various search and recommendation services across Naver and Line. The team taps the latest outcomes in relevant research areas (IR / RecSys / Data Mining) and contributes back to the community via publications and open source activities. Previously, Jinyoung worked as a data scientist at Snap and a senior applied researcher at Microsoft.
Eric Giannella is Director of Data Science at Code for America, a civic tech non-profit that makes government services easier to access. Eric has done research in a variety of settings, spanning government, small and large tech companies, and nonprofits. Prior to Code for America, he was at the California Department of Justice working to make data more widely available for the public, journalists, and academics. He has published on social support, justice reform, and technology and society. Eric has a Ph.D. in Sociology from UC Berkeley, and an M.S. and B.A. from Stanford.
Suhem Parack is a Staff Developer Advocate at Twitter. He helps students and academic researchers with their research using the Twitter API. Before joining Twitter, he was a Solutions Architect at Amazon.
Iegor Vyshnevskyi is enrolled in the Ph.D. program in Public Policy of KDI School. Before entering the program he worked in the banking industry for about 10 years, including 5 years at the financial stability department of the National Bank of Ukraine doing financial modeling and bank stress-testing. His research interests lie mainly in the field of central banking, namely nonperforming loans, banking supervision, climate risk in banking and finance, transparency and independence. He has publications on banking supervision. Iegor has been involved in a number of development consultation projects.
Minsang Namgoong is a doctoral student at the Graduate School of Culture Technology, KAIST. His research aims to develop mathematical and computational models capable of describing cultural events and contents. He is interested in a wide variety of cultural topics, but he is particularly fond of storytelling.
Yoonyoung Na is a Ph.D. Student in Sociology at Seoul National University. He graduated from Seoul National University in 2020 with an MA in Sociology. He is interested in cognitive sociology, and how social interactions shape people's shared understanding. His current project is to explore the possiblities of deliberation.
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.
Taesoo Song (he/him) is a Ph.D. Student in City and Regional Planning at UC Berkeley. He is broadly interested in the issues of housing policy, neighborhood change, and migration, particularly in the context of high-opportunity and high-cost urban areas.
Sevde Arpaci Ayhan
Sevde Arpaci Ayhan is a PhD candidate in international studies at Seoul National University. Her specialization is development economics. Currently she develops three essays dissertation on green productivity, innovation and growth. She utilizes computational methods to conduct empirical research. She is particularly interested in econometrics, machine learning and artificial intelligence for policy-making world. She also teaches a quantitative methods course at Sookmyung Women's University.
Minjin Chae is a PhD student in sociology at Harvard. Her current research examines the role of worker bargaining power in providing workers with more control over their work schedules and hours. More broadly, she is interested in identifying the opportunities and risks brought by ongoing labor market transformation (e.g., automation) for employees’ personal/family life and their variations across gender, race/ethnicity, and class. She hopes to explore the relationship between occupational requirements, organizational practices, and working conditions using the online job postings and reviews data.
Yuki Asahina is Assistant Professor in the Graduate School of International and Area Studies at Hankuk University of Foreign Studies in Seoul, South Korea, where he teaches about Japanese society, inequality, and qualitative research methods. He received his PhD in sociology from the University of Hawai‘i at Mānoa and was previously a postdoctoral fellow at the Reischauer Institute of Japanese Studies, and an affiliate of the Weatherhead Research Cluster on Comparative Inequality and Inclusion at Harvard University. Yuki’s research interests include social inequality and political sociology with a particular focus on East Asia. His research has appeared or is forthcoming in Sociology, Politics&Society, Journal of Contemporary Asia, and Contemporary Japan, among other journals.
Soyeon Jeon is Master's Student, Department of Political Science and International Relations, Seoul National University. Her research interests lie in analyzing the public opinion in politics using advanced technical methodology. She aims to examine new media’s impact on public opinion formation and political persuasion. She also investigates how emotion and political sophistication take part in political persuasion of the polarized through statistics-based survey and experimental research methods. She will join as a Ph.D. Student, Department of Political Science, Washington University in St. Louis starting Fall, 2022.
Daehyun Kim is a Ph.D. student in Management at the Korea Advanced Institute of Science and Technology (KAIST). His research focuses on how the new wave of digitalization affects an individual's decision to enter entrepreneurship. In more detail, He is interested in expanding our understanding of 1) the entry of online matching platforms and entrepreneurship and 2) AI exposure and necessity-driven entrepreneurship.
Hao-Yun Lee is a master’s student at the Graduate School of Culture Technology, KAIST. Her research interests lie in the field of user research. She received her bachelor's degree in industrial design from National Cheng Kung University, Taiwan.
JinTae Bae is a Master’s student in sociology at Korea University. His key research interest involves the interdisciplinary dialogue between cultural sociology and computational social science, geared towards investigating the cultural environment by leveraging novel computational methods and data. In his current thesis project, he is exploring the dynamics of collective depression narratives in an online mental health forum in the course of COVID-19 with various text analytic and network measures. Furthermore, he is also actively seeking how new computational methods provide opportunities in bridging the qualitative and quantitative social science paradigms
Jennifer (Jung Min) Noh
Jennifer Noh is a PhD candidate at the Department of Psychiatry, University of Cambridge. Her PhD research focuses on the development of a mobile health-tracking system which can assess and predict the health and wellbeing of people with intellectual disabilities. To achieve this, she aims to collate and analyse different sets of physiological and psychosocial data obtained from both smartphones and wearable wrist sensors. Before starting her PhD, she received her bachelor’s degree at York University (Canada) and master's degree from University College London (UK).
Wenyuan (Sophia) Lu
Wenyuan (Sophia) Lu is the second-year global master student, KDI School of public policy and management/ Evans Public policy School, University of Washington. Her research interests lie in economics history, labor economics and development economics. The current research topics focus on economics history about gender, human capital and early industrialization. She desires to utilize more computational science knowledge to solve the problems in the historical data collection and historical newspaper text analysis.
Ha Eun Choi
Ha Eun is a PhD student in Political Science at Michigan State University. Her main research interests include gender and trade, public opinion on trade and economic policies, and international organizations. She is interested in using and learning more about computational methods including network and text analysis to understand the interdependencies and networks of various political actors as well as the diffusion of gender-related trade and economic policies across countries.
Gayoung Kim is an M.A. graduate in Sociology from Seoul National University and a research associate at Institute for Social Development and Policy, SNU. She is interested in political polarization and social cohesion in digitalized society. With a focus on quantitative methods and computational social science, Gayoung is currently exploring the cultural dynamics of gendered political and social conflicts in Korea.
Kadir Jun Ayhan, Ph.D., is Assistant Professor of International Relations at Ewha Womans University Graduate School of International Studies. His main research interests include public diplomacy, power in world politics, and Korean foreign policy. Ayhan serves as Editor-in-Chief for Journal of Public Diplomacy. He has been serving as a member of the National Unity Committee under the Korean President(-elect) since April 2022. Ayhan regularly consults for governmental public diplomacy projects in Korea. He holds a Ph.D. (2016) and M.I.S. (2010) from Seoul National University Graduate School of International Studies and a Bachelor of Commerce (2008) from The University of Auckland. He has published articles in International Studies Perspectives, Korea Observer, Politics & Policy, and Place Branding and Public Diplomacy, among others.
Eun Ji Sally Son
Eun Ji Sally Son is an incoming PhD student in political science at Columbia University. She is interested in American politics, and within that, public opinion, political behavior, and quantitative methods. Over the past few years, she has been working as an institutional research data analyst at Stanford School of Engineering, where she worked on projects such as faculty quality of life survey, statistical analysis of annual donor behavior, and understanding remote learning experiences during the pandemic. She hopes to use quantitative techniques to understand factors that shape anti-democratic behaviors and find ways to tackle polarization, partisan animosity, and political violence. She is also interested in democratizing the data science process and promoting data literacy through research and teaching. She has a BA in political science and political economy from UC Berkeley and a MA in quantitative methods in the social sciences from Columbia University.
Miri Kim is a Ph.D. candidate in economics at Korea university. Her research is focused on microeconometrics and panel data models both empirically and theoretically. She is also interested in utilizing big data and artificial intelligence in econometric analysis, especially in causal inference.
Jee Young Bhan
Jee Young Bhan (she/her) is a Ph.D. student in Sociology at the University of California - Davis. She studies the sociology of education and social stratification, with a focus on public education, policy, and neighborhood and community contexts. Specifically, she is interested in incorporating computational methods to understand cultural capital’s influence on student educational experiences and class reproduction.
Jisung Yoon is Ph.D. Candidate in the industrial and management engineering at Pohang University of Science and Technology. After graduation, he will be joining the Kellogg School of Management at Northwestern University, and the Northwestern Institute on Complex Systems (NICO) as a Postdoctoral Fellow. His research focuses on the development and application of machine learning methods for network data, practically in the area of computational social science. In particular, I have been studying questions about innovation and human mobility in the concept of Science of Science.
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