Walter R. Mebane, Jr., Professor of Political Science and Professor of Statistics at the University of Michigan, is a member of Michigan’s Election Security Task Force.  His current research concerns Election Forensics, which develops statistical and computational tools to verify the accuracy of election results.  His work includes analyses of U.S. presidential elections and many other elections.  He has developed Bayesian models to detect frauds and a Twitter Election Observatory to monitor American elections.

Speaker’s Synopsis: A review of some election security concerns across the United States, discussion of some methods to detect problems, and overview of approaches being taken to mitigate them.  Events and actions in and near Michigan are highlighted.