Predicting the 2024 Presidential Election

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Bibliographic Details
Main Authors: Liberty Vittert, Ryan D. Enos, Stephen Ansolabehere
Format: Article
Language:English
Published: The MIT Press 2024-10-01
Series:Harvard Data Science Review
Online Access:http://dx.doi.org/10.1162/99608f92.91566bf7
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author Liberty Vittert
Ryan D. Enos
Stephen Ansolabehere
author_facet Liberty Vittert
Ryan D. Enos
Stephen Ansolabehere
author_sort Liberty Vittert
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publishDate 2024-10-01
publisher The MIT Press
record_format Article
series Harvard Data Science Review
spelling doaj-art-4d2c259218894e948cae2da09e7bff262025-08-20T02:38:29ZengThe MIT PressHarvard Data Science Review2644-23532024-10-016410.1162/99608f92.91566bf7Predicting the 2024 Presidential ElectionLiberty VittertRyan D. EnosStephen Ansolabeherehttp://dx.doi.org/10.1162/99608f92.91566bf7
spellingShingle Liberty Vittert
Ryan D. Enos
Stephen Ansolabehere
Predicting the 2024 Presidential Election
Harvard Data Science Review
title Predicting the 2024 Presidential Election
title_full Predicting the 2024 Presidential Election
title_fullStr Predicting the 2024 Presidential Election
title_full_unstemmed Predicting the 2024 Presidential Election
title_short Predicting the 2024 Presidential Election
title_sort predicting the 2024 presidential election
url http://dx.doi.org/10.1162/99608f92.91566bf7
work_keys_str_mv AT libertyvittert predictingthe2024presidentialelection
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AT stephenansolabehere predictingthe2024presidentialelection