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Bruce Desmarais
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Bruce received his PhD in political science from the University of North Carolina at Chapel Hill in 2010. In Fall 2010, he joined the Department of Political Science at the University of Massachusetts Amherst. He is one of the core faculty members of the Computational Social Science Institute, a collaborative organization of scholars spanning the social, mathematical and computational sciences focusing on problems in social science research that are fruitfully approached using computationally intensive research methods, Data Science and Big Data.

Bruce's primary areas of research include social network analysis applied to politics, political methodology and political institutions. In his work, Bruce focuses on rigorously and precisely identifying the complex ways in which political actors and institutions exhibit interdependence, and developing research methods capable of illuminating these dependencies. His work includes applications of network analysis to international conflict and cooperation among states, legislative collaboration in the US Congress, campaign finance networks, digital communication networks in local government and the interconnectedness of scientific research and US regulatory policymaking. Bruce's current research agenda is generously supported by three grants from the US National Science Foundation.

Contact

Office420 Thompson Hall
E-maildesmarais'at'polsci.umass.edu
Phone(413)545-1992
Address
Department of Political Science
200 Hicks Way
Amherst, MA 01003

Publications

  1. Bruce A. Desmarais, Vincent G. Moscardelli, Brian F. Schaffner, and Michael S. Kowal.Measuring Legislative Collaboration: The Senate Press Events Network. Social Networks, Accepted.

  2. Bruce A. Desmarais, Raymond J. La Raja, and Michael S. Kowal. The Fates of Challengers in US House Elections: The Role of Extended Party Networks in Supporting Candidates and Shaping Electoral Outcomes. American Journal of Political Science, Accepted.

  3. Bruce A. Desmarais and John A. Hird. Public Policy's Bibliography: The Use of Research in U.S. Regulatory Impact Analyses. Regulation & Governance, Accepted. [PDF] [BibTeX]

  4. Bruce A. Desmarais and Jeffrey J. Harden. Testing for Zero-Inflation in Count Models: Bias Correction for the Vuong Test. The Stata Journal, 13(4):810-835, 2013. [PDF] [BibTeX]

  5. Bruce A. Desmarais and Jeffrey J. Harden. An Unbiased Model Comparison Test Using Cross-Validation. Quality & Quantity, Forthcoming. [PDF] [BibTeX]

  6. Peter Krafft, Juston Moore, Hanna Wallach, and Bruce Desmarais. Topic-Partitioned Multinet work Embeddings. Proceedings of the 26th Annual Conference on Neural Information Processing Systems, 2012. [PDF] [BibTeX]

  7. Skyler J. Cranmer, Tobias Heinrich, and Bruce A. Desmarais. Reciprocity and the Structural Determinants of the International Sanctions Network. Social Networks,36(January):5-22, 2014. [PDF] [BibTeX]

  8. Bruce A. Desmarais and Skyler J. Cranmer. Micro-level interpretation of exponential random graph models with application to estuary networks. Policy Studies Journal, 40(3):402-434, 2012. [PDF] [BibTeX]

  9. Skyler J. Cranmer, Bruce A. Desmarais, and Justin H. Kirkland. Toward a Network Theory of Alliance Formation. International Interactions, 38(3):295-324, 2012. [PDF] [BibTeX]

  10. Stuart M. Benjamin and Bruce A. Desmarais. Standing the Test of Time; The Breadth of Majority Coalitions and the Fate of U.S. Supreme Court Precedents. Journal of Legal Analysis, 4(2):445-469. [PDF] [BibTeX]

  11. Skyler J. Cranmer, Bruce A. Desmarais, and Elizabeth Menninga. Complex Dependencies in the Alliance Network. Conflict Management and Peace Science, 29(3):279-313, 2012. [PDF] [BibTeX]

  12. Bruce A. Desmarais and Jeffrey J. Harden. Comparing partial likelihood and robust estimation methods for the cox regression model. Political Analysis, 20(1):113–135, 2012. [PDF] [BibTeX]

  13. Bruce A. Desmarais and Skyler J. Cranmer. Statistical inference for valued-edge networks: The generalized exponential random graph model. PLoS ONE, 7(1):e30136, 01 2012. [PDF] [BibTeX]

  14. Bruce A. Desmarais. Lessons in disguise: Multivariate predictive mistakes in collective choice models. Public Choice, 151(3):719–737, 2012. [PDF] [BibTeX]

  15. Bruce A. Desmarais and Skyler J. Cranmer. Statistical Mechanics of Networks: Estimation and Uncertainty. Physica A, 391(4):1865–1876, 2012. [PDF] [BibTeX]

  16. Skyler J. Cranmer and Bruce A. Desmarais. Inferential Network Analysis with Exponential Random Graph Models. Political Analysis, 19(1):66–86, 2011. [PDF] [BibTeX]

  17. Jeffrey J. Harden and Bruce A. Desmarais. Linear Models with Outliers: Choosing Between Conditional- Mean and Conditional-Median Methods. State Politics & Policy Quarterly, 11(4):371–389, 2011 [PDF] [BibTeX]

  18. Allison T. Freeman and Bruce A. Desmarais. Portfolio Adjustment to Home Equity Accumulation among CRA Borrowers. Journal of Housing Research, 20(2):141–160, 2011 [PDF] [BibTeX]

  19. Bruce A. Desmarais and Skyler J. Cranmer. Forecasting the Locational Dynamics of Transnational Terrorism: A Network Analytic Approach. In Proceedings of the European Intelligence and Security Informatics Conference (EISIC) 2011. IEEE Computer Society, 2011. [PDF] [BibTeX]

  20. Bruce A. Desmarais and Skyler J. Cranmer. Consistent Confidence Intervals for Maximum Pseudolikelihood Estimators. Neural Information Processing Systems 2010 Workshop on Computational Social Science and the Wisdom of Crowds, 2010. [PDF] [BibTeX]

Presentations

  1. "Communication Network Content and Structure: A Modeling Approach with Application to Gender Mixing in Local Government Internal E-Mail Communication." Northeast Political Methodology Meeting, New York University, May 2, 2014.

  2. "Reflections on the Predictive Modeling of Interstate Conflict." ISA Working Group on Forecasting International Events, Toronto, March 25, 2014.

  3. "Inferring Policy Diffusion Networks in the American States." New Frontiers in Policy Diffusion Conference, University of Iowa, March 14-15, 2014.

  4. "Topic-Specific Latent Space Modeling of Government Communication Networks." Department of Computational Social Science, George Mason University, January 15, 2014.

  5. "Inferring Policy Diffusion Networks in the American States." Annual Meeting of the Society for Political Methodology, University of Virginia, 2013.

  6. "Inferring Policy Diffusion Networks in the American States." Conference on Causality in Political Networks, University of Chicago, May, 10 2013.

  7. "Inferring Policy Diffusion Networks in the American States." Political Networks Conference, Indiana University at Bloomington, 2013.

  8. "Punctuated Equilibrium and Friction in Policymaking: Empirical Evidence and Theoretical Implications." Midwest Political Science Association Annual Meeting, Chicago, 2013.

  9. "Communities in Congressional Campaign Finance Networks and the Emergence of the Establishment Challenger". Presentation for the Boston-Cambridge Colloquium on Complexity and Social Networks at the LazerLab. Northeastern University. November 29, 2012.

  10. "Topic-Specific Latent Space Modeling of Government Communication Networks." Workshop on Information in Networks, New York University, 2012.

  11. "Strategic Interdependence on the U.S. Supreme Court: The Analysis of Voting on the Merits." Political Networks Conference, University of Colorado at Boulder, 2012.

  12. "The Senate Press Events Network: Another Look at Legislative Collaboration." Midwest Political Science Association Annual Meeting, Chicago, 2012.

  13. "Standing the Test of Time; The Breadth of Majority Coalitions and the Fate of U.S. Supreme Court Precedents." Conference on Judicial Collegiality, University of Southern California, Nov 11, 2011.

  14. "The Generalized Exponential Random Graph Model.’’ Political Networks Conference, University of Michigan at Ann Arbor, 2011.

  15. "Consistent Confidence Intervals for Maximum Pseudolikelihood Estimators." Neural Information Processing Systems Workshop on Computational Social Science and the Wisdom of Crowds, Whistler, BC, 2010.

  16. "The Exponential Random Configuration Model for the Empirical Analysis of Interdependent Political Choices." American Political Science Association Annual Meeting, Washington, DC, 2010.

  17. "The Temporal Exponential Random Graph Model", Political Networks Conference, Duke University, 2010.

  18. "The Exponential Random Configuration Model for the Empirical Analysis of Interdependent Political Choices." Annual Meeting for the Society of Political Methodology, University of Iowa, 2010.

Teaching

Official Secrecy in the United States. [syl]
Political Network Analysis. [syl]
Network Analysis Workshop (Applications in R). [materials]
ICPSR Network Analysis. [materials]
NetInf Workshop for Political Networks and Causality. [materials]
PolNet TERGM Materials[materials]
Odum Networks Class Materials[materials]
GMU TERGM Materials[materials]
Odum ERGM Workshop[materials]
PolNet7 TERGM Materials[Materials]
ISSR Course[Materials]
Data Matters: Network Analysis [Materials]
Introduction to Quantitative Analysis. [syl]
420 Thompson Hall, (413)545-1992, desmarais'at'polsci.umass.edu

Deptartment of Political Science | Computational Social Science Initiative | UMass Amherst