This resource provides a transcript of U.S. Election Assistance Commission public hearing on election audit standards, reflecting current discussions among election officials and audit experts.
Resources
Use our resource library to explore the latest research in the field of election science.
This report analyzes another Maryland risk limiting audit (RLA) bill, including audit models, local board impacts, and references to practical RLA research.
This paper provides an empirical analysis of 2020 election audits showing very small changes in presidential vote counts across audited jurisdictions and contest types.
This reports provides an introductory guide to post-election tabulation audits, designed primarily for election officials who want to begin, improve, or better understand post-election audit practices.
This report analyzes a Maryland bill that would require risk-limiting audits after statewide elections, including fiscal and administrative implications.
This report supports automated independent audits as a complement or alternative to other post-election audit methods. It may be useful for administrators or policymakers in comparing auditing approaches.
This report from Verified Voting compares audit and recount laws in seven 2024 swing states, clarifying differences between audits and recounts for public understanding.
This paper introduces Bayesian/low-variance risk limiting audit approaches using marginal mark recording to reduce variability and sample requirements.
In this paper, authors use Orange County, California data to demonstrate efficient audit strategies for many contests and shows how contest selection by discrepancy can reduce workload.
Academic paper examining the use of audits following elections to improve voter confidence.
Explains risk limiting audits (RLA) for observers, including steps, what observers should monitor, and how RLAs compare with other post-election checks.
In this paper, authors present ALPHA, a flexible risk limiting audit method that can handle sampling without replacement and stratification while learning from audited ballots.