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Virtual Exhibit Hall
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Session Submission Type: Paper Session
Fundamentals-Based State-Level Forecasts of the 2020 US Presidential Election - Clemens Nollenberger, University of Konstanz; Gina-Maria Unger, University of Konstanz
Development of a Mathematical Model for Prediction of the Winner in 2020 American Presidential Election - Chandrasekhar Putcha, California State University-Fullerton; Brian William Sloboda, University of Phoenix; Vineet Penumarthy, Illinois Institute of Technology
The De-Purpling of the United States, 2000-2020 - Tim H Blessing, Alvernia University
The Divided (But Not More Predictable) Electorate: Analyzing American Presidential Vote Decisions with Machine Learning - Seo-young Silvia Kim, American University; Jan Zilinsky, New York University
What Makes a State Swing? American Swing States: 1996-2020 - Jonathan Clayton, Fort Hays State University; Jian Sun, Fort Hays State University; Lawrence Gould, Fort Hays State University