
| Office Location: | 337 Perkins Library |
| Office Phone: | (919) 660-4342 |
| Email Address: | |
| Web Page: | https://fds.duke.edu/db/aas/PoliticalScience/faculty/scott.de_marchi/files/CV.pdf |
Teaching (Fall 2009):
(Ph.D., University of North Carolina (1998)), Assistant Professor of Political Science, specializes in the fields of computational political Economy and other mathematical methods, individual decision-making, the presidency, and public policy. The glue that holds these interests together is a fascination with strategic action under conditions of incomplete information. Instead of postulating that everything about a game is known a priori, his work focuses on situations in which agents use limited resources to learn as they go along. He also maintains an active interest in mathematical methods, especially insofar as these fields reflect upon human and artificial intelligence Ii.e., induction and analogy-making, classification problems, algoithms for solving extensive game forms, etc.). His work has been funded by the National Science Foundation, and he has published articles in the American Journal of Political Science, American Political Science Review, Journal of Politics, Journal of Theoretical Politics, and Public Choice. His first book on the foundations of mathematical methods in the social sciences, Computational and Mathematical Modeling in the Social Sciences, was published by Cambridge University Press in 2005. His second book (with James Hamilton) is under contract with Penguin, and will appear in 2009. He was appointed a Fellow-at-Large by the Santa Fe Institute in 1999, and is a faculty member of both the Ralph Bunche Summer Institute and the Empirical Implications of Theoretical Models summer program (Michigan, Duke, and UCLA).