Scott Moser is an assistant professor in the Department of Government at the University of Texas at Austin. Professor Moser specializes in formal modeling and methodology. His research interests can be described as applied social choice, and specifically involve game theory, voting theory, collective choice (especially from tournaments), legislative institutions, and statistical modeling (especially latent class models of text and non-parametric Bayesian inference). Pursing these research interests involves development and testing of theories of collective decision making.

Methodologically, his research involves formal analytic methods such as game theory and social choice theory, as well as computational (agent-based) models. In addition, he works in the area of statistical inference, specifically the development and application of latent class models of text and non-parametric Bayesian inference to social science questions.

He teaches voting theory, public choice, game theory and introductory statistical methods at the undergraduate level as well as formal methods and statistical methodology at the graduate level. His work appears in the journals Complexity, Journal of Theoretical Politics and Social Choice and Welfare.

Professor Moser received a Ph.D. in Political Economy in 2007 from Carnegie Mellon University, Department of Social and Decision Sciences after earning a B.A. in mathematics/ economics from New College of the University of South Florida in 2001. Before arriving in Austin he was a Postdoctoral Prize Research Fellow at Nuffield College, University of Oxford from 2007-2010.

Scott Moser was born and raised in a small town in rural Indiana.