Simon Jackman

Course: Bayesian Analysis (2015)

Simon Jackman is Professor of Political Science and Statistics at Stanford University. He is a graduate of the University of Queensland and earned his PhD at the University of Rochester. He is associate editor of Political Analysis, principle investigator of the American National Election Studies (ANES), and former President of the Society for Political Methodology. He authored Bayesian Analysis for the Social Sciences (2009) and has published widely on public opinion, political parties, election campaigns, political participation, and electoral systems in such leading academic journals as the American Political Science Review, American Journal of Political Science, Electoral Studies, and Journal of Politics. In addition to research, he consults such diverse clients as Facebook, the Huffington Post, and the U.S. Federal Communications Commission (FCC). He has previously taught Bayesian analysis and related methods courses at the University of Oxford, University of Sydney, University of Toronto, Texas A&M University, the Juan March Institute, as well as the EITM Summer Institute at Washington University in St. Louis, the Essex Summer School in Social Science Data Analysis, and the IPSA Summer School at the University of São Paulo.