Scott de Marchi, Associate Chair and Professor

Contact Info:

Teaching (Fall 2022):

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

  Gross Hall 111, WF 01:45 PM-03:00 PM

• DECSCI 538.01, INTRO TO MACHINE LEARNING Synopsis

  French Sci 2237, F 01:45 PM-04:15 PM

Office Hours:

By Appointment Only (demarchi@duke.edu)

Education:

Ph.D., University of North Carolina - Chapel Hill, 1998

M.A., University of North Carolina - Chapel Hill, 1993

B.A., Wake Forest University, 1990

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. 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].