Offers an overview of mathematical modeling concentrating on game theory, statistics and computational modeling.
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Scott de Marchi is Assistant Professor of Political Science at Duke University. His work has been funded by the National Science Foundation, and he has published articles in the American Political Science Review, Journal of Politics, Journal of Theoretical Politics and Public Choice. Professor de Marchi was appointed a Fellow-at-Large by the Santa Fe Institute in 1999, and is a faculty member of the Ralph Bunche Summer Institute and the Empirical Implications of Theoretical Models program. His research continues to focus on the field of computational political economy and other mathematical methods, individual decision-making, the presidency, and public policy.
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