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Session Submission Type: Paper Session
8:00am |
Batch Adaptive Designs to Improve Efficiency in Social Science Experiments - Matthew Lee Blackwell, Harvard University; Nicole Pashley, Rutgers University; Dominic Valentino, Harvard University
8:10am |
Canvassing with chatbots: personalized messaging using natural language processing to change attitudes - Molly Offer-Westort, The University of Chicago
8:20am |
Ideology, Electability, & Valence - Scott F Abramson, University of Rochester; Korhan Kocak, New York University Abu Dhabi; Asya Magazinnik, Massachusetts Institute of Technology
8:30am |
SyGNet: Synthetic Data for the Social Sciences using Deep Learning - Thomas Samuel Robinson, London School of Economics and Political Science; Maksim Zubok, University of Oxford; Artem Nesterov, Durham University
8:40am |
Old Dog, New Tricks: A Principled Approach to Machine Learning for Experiments - Jack Rametta, University of California-Davis; Sam Fuller, University of California-Davis
9:00am |
Audience participation will last for the remainder of the session.