Primary Model Predicts Trump Re-Election by Helmut Norpoth The Primary Model gives President Donald Trump a 91%-chance of winning re-election in a matchup against Democrat Joe Biden. Trump is predicted to get 362 electoral votes, Biden […]
Noemi Hernandez Alexander is a graduate of Claremont Graduate University where she received her Ph.D. in Political Science with a subfield in Race, Ethnicity and Politics. She is an Assistant Professor of Political Science and Public […]
Political scientists share resources, reflections, and strategies to teach the 2020 Presidential and U.S. national elections. We have gathered these resources from Educate’s library, RAISE the Vote, the Journal of Political Science Education and PS: Political Science and […]
Citizen Forecasting 2020: A State-by-State Experiment by Andreas E. Murr and Michael S. Lewis-Beck We use ‘citizen forecasts’ to predict the US Presidential Election taking place on 3 November 2020. This approach asks citizens to […]
Kennia L. Coronado is a Ph.D. student in the department of political science at the University of Wisconsin-Madison. Her research interests lie at the intersection of Latinx political behavior, identity, political communication, and representation. Her dissertation […]
Let’s Be Honest About Election Forecasting by Jennifer Nicoll Victor Forecasting used to be fun and games for political science nerds, but now it’s big business that has the potential to influence the very outcomes […]
Forecasting the 2020 Electoral College Winner: The State Presidential Approval/State Economy Model by Peter K. Enns and Julius Lagodny To forecast the 2020 Electoral College winner, Peter Enns and Julius Lagodny develop a model to predict […]
Political Scientists Writing Op-Eds about Election 2020 The COVID-19 pandemic has raised questions for voters in the United States about the safety and accessibility of the voting process in 2020. APSA’s Election Assistance Task Force […]
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