Penn State Penn State: College of the Liberal Arts

Bruce Desmarais

Bruce Desmarais

Bruce Desmarais

Professor of Political Science,
Social Data Analytics, Head, Program in Social Data Analytics Director, Center for Social Data Analytics
William and Monica DeGrandis-McCourtney Early Career Professor in Political Science
Social Data Analytics, Director of Graduate Studies
231 Pond Lab University Park, PA 16802
Monday, 11:00 am - 12:00 pm virtually https://psu.zoom.us/j/91998399218?pwd=L052eEtiamc1OHZFS1R1TU5kR2pVZz09 Password: 906068 Thursday, 1:00 - 2:00 pm in person
Bruce Desmarais

Curriculum Vitae

Education

Professional Bio

Professor in the Department of Political Science and Faculty Co-Hire of the Institute for Computational and Data Sciences.  Professor Desmarais' research focuses on the development and application of statistical methods in the study of Social and Political systems that are characterized by interdependence and structural complexity.  Network analysis is the primary methodological approach in his research. Areas of application include international conflict and cooperation among countries, campaign finance and  co-sponsorship networks in the US Congress, digital communication networks in local government, diffusion of public policies across the US states, and the interconnectedness of scientific research and US regulatory policymaking.  His current research agenda is generously supported by three grants from the US National Science foundation and one from the Russell Sage Foundation.

Professor Desmarais holds a Ph.D. in Political Science from the University of North Carolina at Chapel Hill (2010) and a B.A. in Political Science and Economics from Eastern Connecticut State University (2005). Prior to coming to Penn State, he was Assistant Professor in the Department of Political Science and an Affiliate of the Computational Social Science Institute at the University of Massachusetts Amherst (2010-2015).

Areas of Interest

  • American Politics
  • Methodology

Publications

Temporal Exponential Random Graph Models with xergm: Estimation and Bootstrap Confidence Intervals

Leifeld, P., Cranmer, S., & Desmarais, B. (2018). Temporal Exponential Random Graph Models with xergm: Estimation and Bootstrap Confidence Intervals. Journal of Statistical Software. 

Text as Policy: Measuring Policy Similarity Through Bill Text Reuse

Linder, F.*Desmarais, B., Burgess, M., & Giraudy, E. Text as Policy: Measuring Policy Similarity Through Bill Text Reuse. Policy Studies Journal.

Discussion of Inferring social structure from continuous-time interaction data

Desmarais, B. Discussion of, "Inferring social structure from continuous-time interaction data."

Methods and Network Topology: Experimental Design for the Study of Interference

Bowers, J., Desmarais, B., Frederickson, M., Ichino, N., Lee, H.-W., & Wang, S. Models, Methods and Network Topology: Experimental Design for the Study of Interference. Social Networks.