Introducing the latest in Data Science,

focusing on applications in social,

political and policy sciences.


List of Guest Speakers at the Data Analytics Colloquium (2021)


Vito D'Orazio

Vito D’Orazio is an Associate Professor of Political Science at the University of Texas at Dallas. His research interests are at the intersection of conflict studies and computational methods, with a focus on conflict forecasting and machine learning. He has published over 20 articles in peer-reviewed journals and conference proceedings, and has been awarded grants by the National Science Foundation and the Defense Advanced Research Projects Agency. His work on conflict forecasting won the inaugural Violence Early Warning System competition for subnational conflict forecasting in Africa.

Tse-min Lin

Tse-min Lin is Associate Professor of Government and Associate Director of the Center for Taiwan Studies at the University of Texas at Austin. A Ph.D. in Political Science from the University of Minnesota, Dr. Lin has taught or visited at State University of New York at Stony Brook, Duke University, Michigan State University, the Institute of Political Science at Academia Sinica, and National Taiwan University. His teaching and research interests cover methodology, formal theory, and American and comparative political behavior. He has published in American Journal of Political Science, American Political Science Review, Democratization, International Political Science Review, Issues & Studies, Journal of Democracy, Journal of Information Technology & Politics, Journal of Politics, Political Analysis, Political Research Quarterly, Public Choice, Review of Social Sciences, Social Science History, Taiwan Democracy Quarterly, Taiwan Journal of Democracy, World Politics, as well as in edited volumes.

Zhiyong (Johnny) Zhang

Zhiyong (Johnny) Zhang is a Professor in Quantitative Psychology at the University of Notre Dame. His research focuses on developing better statistical methods and software in the areas of education, health, management and psychology. He has conducted research in the areas of Bayesian methods, big data analysis, structural equation modeling, longitudinal data analysis, mediation analysis, and statistical computing and programming. His most recent research involves the development of new methods for social network and text analysis in the framework of structural equation modeling. He recently started the new Journal of Behavioral Data Science to bridge data science, data analytics, and quantitative methods in behavioral research.

Jake Bowers

Jake Bowers is Associate Professor, Department of Political Science, Department of Statistics, University of Illinois. He is Methods Director for EGAP, the Evidence in Governance and Politics network. He has beeen working on projects at the intersection of the social and behavioral sciences and public policy as a Research Affiliate and Fellow at the Center for Advanced Study in the Social and Behavioral Sciences such as the Causal Inference for Social Impact lab. Professor Jake Bowers has been selected as a research affiliate at the Center for Advanced Study in the Behavioral Sciences at Stanford University for the 2017-2018 academic year.

Jeff Gill

At American University Jeff Gill is Distinguished Professor in the Department of Government and the the Department of Mathematics & Statistics, as well as a member of the Center for Behavioral Neuroscience at American University and founding director of theCenter for Data Science. He has done extensive work in the development of Bayesian hierarchical models, nonparametric Bayesian models, elicited prior development from expert interviews, as well in fundamental issues in statistical inference. Current applied work includes: blood and circulation physiology including how our bodies change these dynamics in times of stress such as injury, long-term mental health outcomes from children’s exposure to war, pediatric head trauma, analysis of terrorism data, survey research methodologies, and spatial analysis of social and biomedical conditions.

Christopher Achen

Chris Achen holds the Roger Williams Straus Chair of Social Sciences at Princeton University. His primary research interests are public opinion, elections, and the realities of democratic politics. He is the author or co-author of six books, including Democracy for Realists (with Larry Bartels) in 2016, which won two international awards, was the subject of a special edition of Critical Review, and was reviewed in Foreign Affairs, The Economist, the New York Review of Books, and elsewhere. He is also the coauthor and coeditor (with T.Y. Wang) of The Taiwan Voter (2017). He has published many articles. He is a member of the American Academy of Arts and Sciences, and has received fellowships from the Center for Advanced Study in the Behavioral Sciences, the National Science Foundation, and Princeton’s Center for the Study of Democratic Politics. He was the founding president of the Political Methodology Society, and he received the first career achievement award from The Political Methodology Section of The American Political Science Association in 2007. He has served on the top social science board at the American National Science Foundation, and he was the chair of the national Council for the Inter-University Consortium for Political and Social Research (ICPSR) from 2013-2015. What he is proudest of are awards from the University of Michigan for lifetime achievement in training graduate students and a student-initiated award from Princeton University for graduate student mentoring.

King-wa Fu

King-wa FU is a Professor at the Journalism and Media Studies Centre (JMSC), The University of Hong Kong. His research interests include China’s information governance, media and political participation, computational social sciences, health and the media, and younger generation’s media use. He was a visiting Associate Professor at the MIT Media Lab and Fulbright-RGC Hong Kong Senior Research Scholar in 2016-2017 and a China-US Scholar 2021-2022. He is the Principle Investigator of Weiboscope, WeChatscope, and ANTIELAB Research Data Archive. He was a journalist at the Hong Kong Economic Journal before turning to academia. His online CV: