The Summer Institute will be a highly collegial training program for advanced graduate students and junior faculty led by political scientists from across the discipline who employ EITM approaches in their research. 

Faculty | 2018 EITM Summer Institute

Scott de Marchi

Scott de Marchi is Professor of Political Science and the founding director of the Decision Science program at Duke University. His work focuses on mathematical methods, especially computational social science, machine learning, and mixed methods. Substantively, he examines individual decision-making in contexts that include the American Congress and presidency, bargaining in legislatures, interstate conflict, and voting behavior. He has been an external fellow at the Santa Fe Institute and the National Defense University and is currently a principal investigator for NSF’s EITM program.

demarchi@duke.edu

Colin Elman

Colin Elman is Professor of Political Science and Director of the Center for Qualitative and Multi-Method Inquiry in the Maxwell School, Syracuse University. He is a co‐founder of both the International History and Politics and the Qualitative and Multi‐method Research organized sections of the American Political Science Association, and co-director of the annual summer Institute for Qualitative and Multi-Method Research. He leads (with Diana Kapiszewski, Georgetown University) the Qualitative Data Repository. He is series co-editor (with John Gerring, Boston University and James Mahoney, Northwestern University) of the Cambridge University Press Strategies for Social Inquiry book series, and (with Diana Kapiszewski and James Mahoney) the new Methods for Social Inquiry book series. Elman co-chaired (with Arthur Lupia, University of Michigan) the American Political Science Association’s committee on Data Access and Research Transparency (DA-RT). Elman is (with Miriam Fendius Elman) the co‐editor of Progress in International Relations Theory: Appraising the Field (MIT Press); and Bridges and Boundaries: Historians, Political Scientists, and the Study of International Relations (MIT Press); (with John Vasquez) of Realism and the Balancing of Power: A New Debate (Prentice Hall); and (with Michael Jensen) of the Realism Reader (Routledge). Elman has published articles in the American Political Science Review, the Annual Review of Political Science, Comparative Political Studies, the International History Review, International Organization, International Security, International Studies Quarterly, Millennium, Perspectives, Political Analysis, Political Science & Politics, Sociological Methods & Research, and Security Studies.  

celman@maxwell.syr.edu

Sean Gailmard

Sean Gailmard is Professor in the Travers Department of Political Science at the University of California, Berkeley. Professor Gailmard studies the relationship between principal-agent problems and institutions of government. He has applied this perspective in American politics to understand executive branch structure and political accountability in the U.S. His research has focused on the trade-off between expertise and political responsiveness in the bureaucracy, historical dimensions of the presidency and its relation to the bureaucracy, congressional control of bureaucratic discretion, the internal organization of Congress, and electoral accountability in the U.S. Senate. Previous research has analyzed models of rational choice by non-selfish actors in laboratory experiments on collective decision making. He is also the author of Learning While Governing: Expertise and Accountability in the Executive Branch (2012, University of Chicago Press, with John W. Patty), which won the 2013 William H. Riker Prize from the American Political Science Association (Political Economy Section) as the best book in political economy, as well as Statistical Modeling and Inference for Social Science (2014, Cambridge University Press), a Ph.D.-level textbook. He has published research in leading social science journals, including the American Political Science Review, American Journal of Political Science, and Journal of Politics.

gailmard@berkeley.edu

Alan Jacobs

Alan M. Jacobs is Associate Professor of Political Science at the University of British Columbia specializing in comparative political economy and public policy, political behavior, and methodology. He is the author of Governing for the Long Term: Democracy and the Politics of Investment (Cambridge U. Press, 2011), which received the APSA’s Gregory Luebbert Award for the Best Book in Comparative Politics, the APSA’s Giovanni Sartori Award for the Best Book Developing or Applying Qualitative Methods, and the IPSA’s Charles H. Levine Prize for the Best Book in Comparative Policy and Administration. His research has also appeared in the American Political Science Review, American Journal of Political Science, Journal of Politics, Comparative Political Studies, British Journal of Political Science, the Annual Review of Political Science, and other venues. With Macartan Humphreys, he is currently completing a book, Integrated Inferences, that examines how process tracing and mixed-method causal inference can be grounded in probabilistic causal models. Jacobs' ongoing substantive research examines the interaction between economic inequality and democratic accountability and the sources of support for populist political parties. He is co-chair of the Qualitative Transparency Deliberations, sponsored by the APSA's section for Qualitative and Multi-Method Research, and was co-recipient of the section's 2017 David Collier Mid-Career Achievement Award.

alan.jacobs@ubc.ca

Diana Kapiszewski

Diana Kapiszewski is Associate Professor of Government at Georgetown University. Her research interests include public law, comparative politics, and research methods. Her book High Courts and Economic Governance in Argentina and Brazil (Cambridge University Press, 2012) received the APSA Law and Courts Section's C. Herman Pritchett Award. She has also co-edited Consequential Courts: Judicial Roles in Global Perspective (Cambridge University Press, 2013) and Beyond High Courts: The Justice Complex in Latin America (University of Notre Dame Press, forthcoming 2018). Her ongoing research includes projects examining "constitutionalism with adjectives," institutions of electoral governance in Latin America, and informal workers' use of legal strategies in the Global South. In the area of research methods, Kapiszewski co-directs the Qualitative Data Repository and co-edits the Cambridge University Press Methods for Social Inquiry book series. She co-authored Field Research in Political Science: Practices and Principles (Cambridge University Press, 2015) and in 2013 was awarded the APSA Qualitative and Multi-Method Research section's Mid-Career Achievement Award. She is also co-authoring a manuscript on Managing Qualitative Data in the Social Sciences. Her work has appeared in the Annual Review of Political Science, Latin American Politics and Society, Law and Social Inquiry, Law & Society Review, Perspectives on Politics, and PS: Political Science and Politics.

dk784@georgetown.edu

Christina M. Kinane

Christina M. Kinane is a Ph.D. candidate in Political Science at the University of Michigan specializing in American political institutions and formal and quantitative methods. Her research centers on the strategic relations among executives, legislatures, and the bureaucracy, and how they shape political agendas and policy outcomes. Her current work examines how presidents, within the framework of inter-branch bargaining, use vacancies in top agency appointments to promote their policy priorities. She has taught undergraduate and graduate courses on American politics and advanced game theory.

ckinane@umich.edu

​Marko Klašnja

Marko Klašnja is an assistant professor of political science at Georgetown University, with a joint appointment in the Edmund A. Walsh School of Foreign Service and the Government Department. His work focuses primarily on the political economy of democratic accountability, representation, as well as political inequality. He has used an eclectic range of methods and approaches in his work, from formal-theoretic and experimental, to descriptive projects based on observational data. Marko regularly teaches undergraduate research seminars and graduate methods courses. He has published articles in the American Political Science Review, American Politics Research, British Journal of Political Science, Electoral Studies, Journal of Conflict Resolution, Journal of Politics, Journal of Theoretical Politics, Political Science Research and Methods, and the Quarterly Journal of Economics. 

marko.klasnja@georgetown.edu

Arthur Lupia

Arthur Lupia is the Hal R. Varian Professor of Political Science at the University of Michigan and research professor at its Institute for Social Research. He examines how people learn about politics and policy and on how to improve science communication. His most recent book is Uninformed: Why Citizens Know So Little About Politics and What We Can Do About It.

He is Chair of the National Academy of Sciences Roundtable on the Application of the Social and Behavioral Science, a member of the National Academies’ Advisory Board on the Behavioral and Social Sciences and Education, and a member of the National Science Foundation’s Advisory Board for the Social, Economic, and Behavioral Sciences.

Professor Lupia has developed a range of infrastructure to improve the quality and public value of social scientific research. With Diana Mutz, he developed TESS (Time Sharing Experiments for the Social Sciences), a project that has helped hundreds of scholars conduct innovative experiments on large national samples. With Jon Krosnick, he served as Principal Investigator of the American National Election Studies (ANES). With Colin Elman, he has led the DA-RT (Data Access and Research Transparency) Initiative. He led APSA’s Task Force on Public Engagement how to improve public engagement in political science and has worked with many groups to make scientific presentations more memorable and meaningful to more people. Professor Lupia is lead Principal Investigator of the EITM Summer Institutes and Scholarship Program. He helped to create the institute’s original design and has served as a lead lecturer for 12 Summer Institutes.

lupia@umich.edu

Daniel Magleby

Daniel Magleby is an assistant professor of political science and a fellow in the Center on Democratic Performance at Binghamton University, SUNY. His research interests focus on political institutions, elections, and political geography. He earned a PhD in political science from the University of Michigan and he holds a masters degree in mathematical methods in the social sciences from Northwestern University. He joined the Binghamton faculty in the fall of 2013, prior to that, he was a postdoctoral fellow in the Political Institutions and Public Choice (PIPC) Program at Duke University. He teaches courses on legislative politics, the presidency, parties and interest groups in American politics as well as courses in game theory to graduate students. His work is published or forthcoming in the American Economic Review, Political Analysis, The Journal of Law Economics and Organization, Social Science Quarterly, The Election Law Journal, Congress & the Presidency, and Public Choice.

dmagleby@binghamton.edu

Walter Mebane

Walter Mebane is Professor of Political Science and Professor of Statistics at the University of Michigan, and he is a Faculty Associate at the Center for Political Studies at the Institute for Social Research, University of Michigan. He is one of the leading experts on data-based techniques for the detection of electoral anomalies and is currently writing a book on the topic.

wmebane@umich.edu

John Patty

John W. Patty is a Professor of Political Science at the University of Chicago and Co-editor of the Journal of Theoretical Politics and the Political Economy of Institutions and Decisions series at Cambridge University Press. Professor Patty’s research focuses on mathematical models of political institutions.  His substantive interests include political legitimacy, the US Congress, the federal bureaucracy, American political development, and democratic theory.

Professor Patty regularly teaches both undergraduate and graduate courses on game theory, computational modeling, formal models of political institutions, political resistance and legitimacy, the US Congress, and the federal bureaucracy. His work has been published in American Journal of Political Science, Annual Review of Political Science, Economics & Politics, Electoral Studies, Games & Economic Behavior, Journal of Law and Courts, Journal of Politics, Journal of Public Policy, Journal of Theoretical Politics, Mathematical & Computer Modelling, Politics, Philosophy, & Economics, Political Science Research and Methods, PS: Political Science & Politics, Public Choice, Quarterly Journal of Political Science,  Social Choice & Welfare, and The Good Society.

jwpatty@uchicago.edu

Maggie Penn

Maggie Penn a Professor of Political Science at the University of Chicago. She is a formal political theorist whose work focuses on social choice theory and political institutions. She regularly teaches undergraduate courses on electoral systems and agent-based modeling as well as graduate courses on positive political theory. Her work has been published with Cambridge University Press and in the American Journal of Political Science, Journal of Politics, Journal of Theoretical Politics, Mathematical & Computer Modeling, Political Analysis, Political Science Research & Methods, PS: Political Science and Politics, Public Choice, Social Choice & Welfare, The Good Society, and Complexity.

epenn@uchicago.edu

Emily Ritter

Emily Ritter is assistant professor of political science at the University of California, Merced. Her research centers on the effects of international legal institutions on the strategic relationship between government repression and dissent activities, with particular attention to the methodological implications for causal inference that stem from strategic conflict behavior. Different projects contribute to scholarship on international human rights institutions, law, and practice; domestic conflict between national governments and groups from the population; international governance and legal institutions; and political methodology. Game theory and quantitative statistical analysis are the primary methods she uses to approach inference.

She has published articles in the American Political Science Review, the Journal of Politics, the Journal of Peace Research, the Journal of Conflict Resolution, International Studies Quarterly, the Review of International Organizations, and the Journal of Theoretical Politics. Her first book, co-authored with Courtenay R. Conrad, is currently under contract at Oxford University Press.  

eritter@ucmerced.edu

Arthur Spirling

Arthur Spirling is Associate Professor of Politics and Data Science. He received a bachelor's and master's degree from the London School of Economics, and a master's degree and PhD from the University of Rochester.

Spirling's research centers on quantitative methods for analyzing political behavior, and he is particularly interested in institutional development and the use of text-as-data. His work on these subjects has appeared in outlets such as the American Political Science Review, the American Journal of Political Science and the Journal of the American Statistical Association. He has guest edited an edition of Legislative Studies Quarterly devoted to 'British Political Development', an area in which he continues to be active.

arthur.spirling@nyu.edu

Dustin Tingley

Dustin Tingley is Professor of Government in the Government Department at Harvard University. He received a PhD in Politics from Princeton in 2010 and BA from the University of Rochester in 2001. His research interests include international relations, international political economy, statistical methodology, and experimental approaches to political science.  His book on American foreign policy, Sailing the Water's Edge, was published in fall 2015, and was awarded the Gladys M. Kammerer Award for the best book published in the field of U.S. national policy. Recent projects include attitudes towards global climate technologies and policies, and the intersection of causal inference and machine learning methods for the social sciences.

Dustin is the Director of Graduate Studies for the Harvard Government Department, Faculty director for the Vice Provost for Advances in Learning Research Group (Harvard higher education data science group), faculty director of IQSS's Undergraduate Research Scholar program, is the founding director of the Program on Experience Based Learning in the Social Sciences, which founded and helps maintain ABLConnect, and is the former (and founding) editor of the APSA Experimental Section newsletter, The Experimental Political Scientist. Dustin initiated and organized the Harvard Government Department annual poster session, and has organized interdisciplinary conferences on causal mechanisms, climate change politics, negotiation in international relations, active learning, and the intersection of causal inference and machine learning. Dustin is a scientific adviser to EconVision.

dtingley@gov.harvard.edu

Rocío Titiunik

Rocío Titiunik is the James Orin Murfin Professor of Political Science. She works on political methodology and American politics. Her methodological interests center on the validity and limitations of employing experimental and non-experimental research designs to the study of politics. She is particularly interested in causal inference in the study of political institutions. Substantively, her current projects focus on incumbency advantage, elections and representation, political participation, and legislative behavior.

titiunik@umich.edu

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