Moon Choi is a graduate student in Political Science at the University of Washington. Her fields of study include International Relations, Comparative Politics, and Methodology. She is particularly interested in international cooperation and regionalism.

Loren Collingwood is a Ph.D. student in political science at the University of Washington. His current research projects examine direct democracy, negative television advertising, historicial cross racial mobilization, race of interviewer effects in telephone surveys, minority group influence in elections, and textual analysis. He is a Research Assistant for the Center for American Politics and Public Policy (CAPPP) and also works with the Washington Institute for the Study of Ethnicity, Race, and Sexuality (WISER), and the Washington Survey Research Center (WASRC), where he plays a key role in conducting the annual Washington Poll.

Will Lowe is a political methodologist specializing in statistical text analysis with applications to international relations and comparative politics. He received his M.Sc. and then a Ph.D in cognitive science and natural language processing at Edinburgh University, and has held research positions at Harvard University, Trinity College and the University of Dublin. He is currently Assistant Professor in Research Methods in the Department of Political Science at the University of Maastricht.

Stephen Purpura is an Information Science doctoral student at Cornell University and his research interests compliment 19 years of technology research, development, and operations experience. He has held management, product marketing, and software engineering positions at Microsoft, Comcast, and several technology startups. At Cornell University, he studies issues related to adapting social science models for use by search engines.  His recent research looks at methods for identifying and working with biased annotations, which are common in semantic understanding tasks that exist in politics, communication, linguistic, psychology, and cognitive research fields.  Stephen has a Master’s Degree in Public Policy from Harvard’s Kennedy School of Government and a bachelor’s degree in Political Science from the University of Washington.

Stu Shulman is an Assistant Professor in the Department of Political Science in the University of Massachusetts Amherst. He was the founder (2005) and Director of Qualitative Data Analysis Program (QDAP) at the University of Pittsburgh from 2005-2008. Currently he is the Director of QDAP-UMass. QDAP and QDAP-UMass are fee-for-service coding labs that work on projects funded by the National Science Foundation (NSF), the National Institutes of Health (NIH), and other U.S. funding agencies. He has been the Principal Investigator and Project Director on related National Science Foundation-funded research and workshop projects focusing on electronic rulemaking, human language technologies, manual annotation, digital citizenship, YouTube and US elections, as well as service-learning efforts in the United States.

Brandon Stewart is a Ph.D. Student in the Department of Government at Harvard University. He received his B.A. from the College of William & Mary in Government and International Relations.  His substantive interest include any interest in security, terrorism, and conflict/cooperation dynamics.  Methodologically, he is interested in automated content analysis, statistical methods and data visualization.  Brandon’s research has been published in Conflict Management and Peace Science, Small Wars and Insurgencies and other peer-reviewed publications.

Phil Schrodt is Professor of Political Science, Penn State University. Dr. Schrodt’s major areas of research are formal models of political behavior, with an emphasis on international politics, and political methodology. His current research focuses on predicting political change using statistical and pattern recognition methods. He teaches a variety of courses in international relations, with an emphasis on international conflict, and U.S. defense policy. Dr. Schrodt has published more than 75 articles in political science journals including International Studies Quarterly, Journal of Conflict Resolution, Foreign Policy Analysis and the American Political Science Review. Additionally, his Kansas Event Data System (now Penn State Event Data System) computer program won the “Outstanding Computer Software Award” from the American Political Science Association in 1995.

John Wilkerson is Associate Professor of Political Science and Director of the Center for American Politics and Public Policy at the University of Washington. He specializes in legislative politics and co-directs the Congressional Bills Project and Policy Agendas Project. He uses manual annotation methods and supervised learning methods in his research and has co-edited a volume, Text Annotation Methods for Political Science Research, with Claire Cardie.


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