Research Interests

Political methodology; Bayesian statistics; American political institutions; Judicial politics

Biography

Andrew D. Martin is Professor of Law and Professor of Political Science at Washington University in St. Louis. He serves as the founding Director of the Center for Empirical Research in the Law in the School of Law. Professor Martin served as the Chair of the Political Science Department from 2007 to 2011 and is a Resident Fellow of the Center in Political Economy in Arts & Sciences. He is also a principal of the analytics consultancy Principia Empirica LLC.

Professor Martin's expertise is in the study of judicial decisionmaking, with special emphasis on the Supreme Court and the lower federal courts. He also works extensively in the field of political methodology and applied statistics. He has published in a number of prominent law reviews and leading social science and applied statistics journals, and is a frequent presenter at conferences and workshops throughout the country. His research has been supported by the National Science Foundation, the MacArthur Foundation, and the National Institutes of Health.

Professor Martin is the principal investigator of the The Judicial Elections Data Initiative, a study of litigation processes in employment discrimination suits initiated by the EEOC, and a cross-national study that examines decisionmaking in constitutional courts around the globe. He is also a collaborator on The Supreme Court Database project, and a contributor to The Discography. With his collaborator Kevin M. Quinn (UC Berkeley), Professor Martin developed the Martin-Quinn Scores that are widely used to measure ideology on the U.S. Supreme Court.

Professor Martin teaches courses in the law school on judicial decisionmaking and on social science and statistics for lawyers, in addition to graduate and undergraduate courses in political methodology in Arts & Sciences. He also regularly offers workshops on social science research methods for judges, prosecutors, and legal academics.

Courses

• Quantitative Political Methodology
• Topics in QPM: Statistical Modeling
• Judicial Decisionmaking (Seminar)