Scott de Marchi
Professor of Political Science
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.
- Ph.D., University of North Carolina at Chapel Hill 1998
- M.A., University of North Carolina at Chapel Hill 1993
- B.A., Wake Forest University 1990