People
Faculty
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.
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.
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.Speakers
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.
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.
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.
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.
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.
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.
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.Teaching Assistants
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.
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.
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.Participants
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.
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.
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.
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?”
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.