Election Forensics: Using Machine Learning and Synthetic Data for Possible Election Anomaly Detection

Mali Zhang; R. Michael Alvarez; Inés Levin

doi:https://doi.org/10.7910/dvn/yzrjwd

Election Forensics: Using Machine Learning and Synthetic Data for Possible Election Anomaly Detection

Mali Zhang, R. Michael Alvarez, Inés Levin · Harvard Dataverse · 2019

This replication package replicates the findings reported in Mali Zhang, R. Michael Alvarez, and Ines Levin, “Election Forensics: Using Machine Learning and Synthetic Data for Possible Election Anomaly Detection.” Forthcoming in PLOS ONE.

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