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Scott de Marchi, Associate Chair and Professor

Scott de Marchi
Contact Info:
Office Location:  140 Science Drive, 294F Gross, Box 90204, Durham, NC 27708
Office Phone:  +1 919 660 4300
Email Address:  
Web Page:   https://github.com/stormslayer/

Teaching (Fall 2024):

  • POLSCI 189FS.01, INTRO TO MACHINE LEARNING Synopsis
    Class Bldg 114, MW 01:25 PM-02:40 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].

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