Jackman studied for his doctorate at the University of Rochester and Princeton University, after graduating with Honours in Government from the University of Queensland. Jackman is also a Visiting Professor at the United States Studies Centre at the University of Sydney and Professor of Political Science and (by courtesy) Statistics at Stanford University. In 2013 Jackman was elected to the American Academy of Arts and Sciences. He is a past president and Fellow of the Society for Political Methodology. Jackman’s teaching and research centers on public opinion, election campaigns, political participation, and electoral systems with special emphasis on American and Australian politics. His research has appeared in the leading journals of political science, including American Political Science Review, the American Journal of Political Science, the Journal of Politics, Public Opinion Quarterly, Political Analysis, the British Journal of Political Science, Electoral Studies and the Australian Journal of Political Science. Jackman is the author of Bayesian Analysis for the Social Sciences (Wiley 2009), a widely used textbook on Bayesian statistical methods with an emphasis on applications in the social sciences. Since 2009, Jackman has served as one of the Principal Investigators of the American National Election Studies, the world’s longest running and most authoritative survey of political behavior and attitudes. Prior to his stewardship of ANES, Jackman directed a number of other large, on-line survey projects in the 2008 U.S. presidential election cycle. Jackman is well known for his work on poll averaging, combining polls over the course of an election campaign to produce better predictions of election outcomes; his work and commentary on pre-election polling appears in major media outlets in both the United States and Australia. His current research projects focus on the opportunities and challenges of web-based survey research, the political and scientific consequences of under-representing unlisted or hard-to-reach populations in social research, predictive models of political behaviour, and methods for large scale, automated coding and analysis of political speech.