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Bruce is an Associate Professor of Political Science and an Affiliate of the Institute for Cyber Science at Penn State University. His research is focused on methodological development and applications that further our understanding of the complex interdependence that underlies politics, policymaking, and public administration. Methodologically, Bruce focuses on methods for modeling networks, analyzing dynamics on networks, and experiments on networks. Primary application areas of interest to Bruce include public policy diffusion, campaign finance, legislative networks, and internal government communication networks.
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).
| 03/14/2018 | New article out in Social Networks, "Models, methods and network topology: Experimental design for the study of interference." |
| 12/15/2017 | New paper out in the proceedings of IEEE Big Data 2017, "Exponential random graph models with big networks: Maximum pseudolikelihood estimation and the parametric bootstrap." |
| 09/15/2017 | New article out in Scientific Reports, "Statistical Modeling of the Default Mode Brain Network Reveals a Segregated Highway Structure." |
| 08/10/2017 | New Paper on valid confidence intervals for ERGM pseudolikelihood estimates. |
| 03/26/2017 | New R package NetworkInference released. |
| 03/15/2017 | New version of R package GERGM released. |
| 03/08/2017 | Preprints for chapter recently to appear in The Oxford Handbook of Political Networks, "Statistical Inference in Political Networks Research." |
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