Election forensics: Using machine learning and synthetic data for possible election anomaly detection

• Mali Zhang,

  Roles Data curation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, United States of America

  ⨯
• R. Michael Alvarez,

  Roles Conceptualization, Methodology, Project administration, Resources, Supervision, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, United States of America

  http://orcid.org/0000-0002-8113-4451

  ⨯
• Ines Levin

  Roles Conceptualization, Data curation, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: inelevin@uci.edu

  Affiliation Department of Political Science, University of California, Irvine, CA, United States of America

  ⨯