Scott de Marchi, Associate Chair and Professor

Contact Info:

Teaching (Fall 2024):

• POLSCI 189FS.01, INTRO TO MACHINE LEARNING Synopsis

  Class Bldg 114, MW 01:25 PM-02:40 PM

• DECSCI 401S.01, RESEARCH IN DECISION SCIENCE Synopsis

  Gross Hall 104, M 12:00 PM-02:30 PM

Office Hours:

By Appointment Only (demarchi@duke.edu)

Specialties:

Methods
American Politics
Security, Peace, & Conflict
Political Economy
Political Institutions
Behavior & Identities

Research Interests: Mathematical methods :: Political behavior :: Institutions

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.

Curriculum Vitae

Representative Publications   (More Publications)

1. De Marchi, S, Adaptive models and electoral instability, Journal of Theoretical Politics, vol. 11 no. 3 (January, 1999), pp. 393-419 [doi]  [abs].
2. Hinich, MJ; Munger, MC; De Marchi, S, Ideology and the construction of nationality: The Canadian elections of 1993, Public Choice, vol. 97 no. 3 (January, 1998), pp. 401-428 [doi]  [abs].