Scott de Marchi

Scott de Marchi

Professor of Political Science

External Address: 
140 Science Drive, 294F Gross, Box 90204, Durham, NC 27708
Internal Office Address: 
Box 90204, Durham, NC 27708-0204
Phone: 
(919) 660-4342
Specialties: 
American Politics, Behavior Identities, Methods, Political Economy, Political Institutions, Security, Peace, Conflict

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.

Education

  • 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

de Marchi, S, and Hamilton, JT. You Are What You Choose. Penguin, November 12, 2009.

de Marchi, S, and Page, SE. "Agent-Based Modeling." The Oxford Handbook of Political Methodology. August 21, 2008. Full Text

de Marchi, S, and Page, S. "Computational and Agent Based Models." Oxford Handbook of Political Science Methodology. 2008.

de Marchi, S, Aldrich, J, Brady, M, McDonald, I, Nyhan, B, Rohde, D, and Tofias, M. "Party and Constituency in the U.S. Senate, 1933-2004." Why Not Parties?. University of Chicago Press, 2008.

de Marchi, S. "A Computational Model of Voter Sophistication, Ideology and Candidate Position taking." Computational Models in Political Economy. Ed. K Kollman, JH Miller, and SE Page. MIT Press, 2003.

Cutler, J, De Marchi, S, Gallop, M, Hollenbach, FM, Laver, M, and Orlowski, M. "Cabinet Formation and Portfolio Distribution in European Multiparty Systems." British Journal of Political Science 46.01 (January 2016): 31-43. Full Text

de Marchi, S, and Page, SE. "Agent-Based Models." Annual Review of Political Science 17.1 (May 11, 2014): 1-20. Full Text

Laver, M, de Marchi, S, and Mutlu, H. "Negotiation in legislatures over government formation." PUBLIC CHOICE 147.3-4 (June 2011): 285-304. Full Text

Laver, M, de Marchi, S, and Mutlu, H. "Negotiation in legislatures over government formation." Public Choice 147.3/4 (2011): 285-304. Full Text

Ensley, MJ, Tofias, MW, and de Marchi, S. "District Complexity as an Advantage in Congressional Elections." AMERICAN JOURNAL OF POLITICAL SCIENCE 53.4 (October 2009): 990-1005. Full Text

de Marchi, S, Munger, M, and Ensley, M. "Costly Search and the Advantages of Incumbency: Some Experimental Results." Public Choice (2008).

Ensley, MJ, De Marchi, S, and Munger, MC. "Candidate uncertainty, mental models, and complexity: Some experimental results." PUBLIC CHOICE 132.1-2 (July 2007): 231-246. Full Text

Ensley, MJ, Munger, MC, and de Marchi, S. "Candidate Uncertainty, Mental Models, and Complexity: Some Experimental Results." Public Choice 132.1-2 (2007): 231-246. Full Text

Pages

Selected Grants

CNH-Ex: Balancing Water Needs and Water Uses for Humans and Nature awarded by National Science Foundation (Co-Principal Investigator). 2013 to 2017

Empirical Implications of Theoretical Models (EITM) awarded by University of Michigan (Principal Investigator). 2015 to 2016

Empirical Implications of Theoretical Models (EITM) awarded by University of Michigan (Principal Investigator). 2015 to 2016

EITM Summer Training Institute awarded by University of Michigan (Principal Investigator). 2013 to 2015

REU in Political Science: Ralph Bunche Summer Institute awarded by National Science Foundation (Co-Principal Investigator). 2012 to 2013

REU Site: Ralph Bunche Summer Institute awarded by National Science Foundation (Co-Principal Investigator). 2000 to 2012

Assessing the Accuracy of Self-reported Pollution Data awarded by National Science Foundation (Co-Principal Investigator). 2002 to 2004