Walter Mebane

Walter R. Mebane, Jr. is a Professor in the Department of Political Science and Department of Statistics at the University of Michigan. He holds a Ph.D. and M.A. from Yale University (Political Science) and a B.A. from Harvard University (Government). His research focuses on electoral systems, fraud detection, and statistical methodology, with a strong emphasis on election forensics. Key areas of interest include analyzing voting patterns, detecting electoral anomalies, and advancing computational methods for political analysis.

He teaches courses such as Election Forensics, Multivariate Analysis, and Survey Sampling Techniques. His work has contributed to the development of tools like the eforensics R package for forensic analysis of election data. Collaborations include projects on global elections in countries like Venezuela, Kenya, and Turkey. His research often bridges political science and statistics, addressing issues of democratic governance and electoral integrity.

Dr. Mebane’s academic contributions also extend to methodological advancements in political analysis, including agent-based modeling and text/image analysis for political incident observation. His work is frequently presented at conferences such as PolMeth and the American Political Science Association meetings.