Resources

This paper examines which voters are disenfranchised by voter ID laws, finding disproportionate impacts on Latino and Black voters who are more likely to lack required identification.

This toolkit helps election officials design and produce the materials poll workers need to set up and operate a polling place or vote center, including layout diagrams, signage, and procedural materials. It covers both traditional polling places and vote center models.

This paper explores how voting experiences and fraud perceptions influence voter confidence, revealing that negative voting experiences, particularly long wait times, are linked to decreased confidence and increased perceptions of fraud.

In this paper, authors examine the effects of automatic voter registration (AVR) on both registration and turnout. They find that ind it does raise registration rates substantially, that the effect of AVR gradually builds the longer it is in place, and that the different types of AVR have significantly different effects on both registration and turnout.

This report reviews multiple topics related to conducting the 2020 general election, including meeting the challenge of voting in person during the COVIS-19 pandemic.

This book examines the dynamics behind shifts in voter registration rates across the states.

In this paper, authors analyze how transitioning to vote centers impacts voters' experiences, noting that inadequate implementation may result in longer waits and increased voter dissatisfaction.

This paper examines how changes in Election Day polling place locations affect voter turnout. The authors analyze voter behavior in three presidential elections in North Carolina (2008 - 2016), finding that these changes reduce Election Day voting on average, but that the reduction is offset by substitution into early voting.

In this paper, authors explore how ballot length affects specific types of voting errors, including human-machine interaction errors and voter ballot-marking errors.

In this paper, authors use snapshots of voter registration files (VRF) over time and machine learning models to test the effectiveness of unsupervised anomaly detection methods in detecting VRF modifications. They find that statistical models comparing administrative districts within a short time span and non-negative matrix factorization are most effective for surfacing anomalous events for review.

This system allows poll workers to hand out tickets to voters waiting in line. Tickets are printed on demand and include a QR code with a date and time for the voter to return, available in English and Spanish. When voters return, the QR code is scanned, and they proceed to vote, reducing physical wait times.

CEIR has surveyed states about voter registration database security every two years since 2018. These surveys have demonstrated widespread best practices in respondent states.