Securing American Elections
How Data-Driven Election Monitoring Can Improve Our Democracy

This Element presents data-driven approach that evaluates the performance of the administration of a democratic election.

R. Michael Alvarez (Author), Nicholas Adams-Cohen (Author), Seo-young Silvia Kim (Author), Yimeng Li (Author)

9781108744928, Cambridge University Press

Paperback / softback, published 26 November 2020

75 pages
15 x 23 x 0.6 cm, 0.16 kg

The integrity of democratic elections, both in the United States and abroad, is an important problem. In this Element, we present a data-driven approach that evaluates the performance of the administration of a democratic election, before, during, and after Election Day. We show that this data-driven method can help to improve confidence in the integrity of American elections.

Preface, 1. Trustworthy Elections, 2. Social Media Monitoring
3. Voter and Poll Worker Surveys, 4. Election Auditing and Statistical Forensics, 5. Auditing Voter Registration Databases
6. Evaluating Election Integrity, Appendix A. Voter and Poll Worker Surveys, Appendix B. Auditing Voter Registration Databases, References.

Subject Areas: Political structures: democracy [JPHV], Elections & referenda [JPHF], Constitution: government & the state [JPHC], Political science & theory [JPA]