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Scott de Marchi

Professor of Political Science
Political Science
Box 90204, Durham, NC 27708-0204
140 Science Drive, 294F Gross, Box 90204, Durham, NC 27708

Overview


Scott de Marchi is Professor of Political Science and Director of the Decision Science program at Duke University. His work has been funded by the Department of Defense, the National Science Foundation, and USAID.

His research focuses on the use of mathematical methods, especially bargaining theory, computational social science, game theory, and machine learning and statistics. Substantively, he examines decision-making in contexts that include the American Congress, coalition bargaining in parliamentary democracies, crisis bargaining and interstate conflict, and voting behavior.

At Duke, he is the founder (and sometimes director) of the Modeling Economic and Political Systems Focus program (MESS) and the Decision Science program. 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.

Current Appointments & Affiliations


Professor of Political Science · 2014 - Present Political Science, Trinity College of Arts & Sciences
Director of Undergraduate Studies of the Department of Political Science · 2025 - Present Political Science, Trinity College of Arts & Sciences

Recent Publications


Decisive or Distracted: The Effects of US Constraint on Security Networks

Journal Article British Journal of Political Science · November 27, 2025 The rise of China as a global power has been a prominent feature in international politics. Simultaneously, the United States has been engaged in ongoing conflicts in the Middle East and South Asia for the past two decades, requiring a significant commitme ... Full text Cite

The Governance Cycle in Parliamentary Democracies: A Computational Social Science Approach

Book · February 9, 2023 Parliamentary democracy involves a never-ending cycle of elections, government formations, and the need for governments to survive in potentially hostile environments. These conditions require members of any government to make decisions on a large number o ... Full text Cite
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