Resources

This Brennan Center survey reports on local election officials’ experiences with security, threats, funding, staffing, and preparation for the 2024 election environment. It is relevant because trusted, timely, and nonpartisan communication is one of the main tools election officials and civic groups use to counter distrust. For this dataset, it helps capture the most recent post-2020 trust environment and the continuing effects of election denial, security concerns, and polarization.

This paper examines the efficacy of post-election edits in bolstering voter confidence and whether certain aspects of audits have greater impacts than others. Authors find that how an audit is conducted is more important than what an audit finds in influencing voter evaluations of election results.

Using Michigan's voter purge database from 2014 to 2018, this analysis finds that more Democratic leaning areas, denser/more urban areas, and areas with more Black residents had higher purge rates. Notably, while these mediation effects were significant, racial composition and median income (i.e. more black and poorer communities) remained a significant factor in voter purge rates.

CEIR interviewed and surveyed election officials in four states—Arizona, Georgia, Nevada, and Rhode Island—to create case studies about their experiences planning, developing, and implementing a new voter registration database system.

Over the last two decades, states have implemented several innovative policies that streamline the process of voter registration, promote voter list accuracy, and create more options for eligible citizens to register or update their voter registration. Such policy innovations include online voter registration, same-day voter registration, and automatic voter registration. The number of states that have implemented at least one of these three voter registration methods increased from seven states in 2000 to 46 states in 2024.

Even before the 2020 election, this reseach finds that voter turnout across the states is consistently higher in every general election over the past decade in states with greater shares of overall ballots cast by mail. Drawing on turnout data from the 2012-2020 Current Population Survey (CPS) and the Cooperative Election Study (CES), authors find states with greater usage of mail voting experience higher overall voter turnout.

In this paper, authors examine ballot tracking use, local election official communication related to
ballot tracking options, how ballot tracking impacts ballot rejection, and the impact of ballot
tracking on voters’ information levels and attitudes about election integrity.

The analysis implies election workers are more likely to wrongly reject valid ballots for purported signature mismatch than to correctly reject invalidly signed returns. On the other hand, research on election workers as problem-solvers suggests they may try to minimize the wrongful rejection of ballots.

While rejected mail ballots could over- or underestimate lost votes, a case study of Pennsylvania’s 2022 general election reveals at least 47% more lost votes than rejected mail ballots.

The analysis suggests that ballot drop boxes and automatic ballot notification systems are crucial for reducing the attack surface to ensure secure and reliable operations.

In this paper, authors use simulation to study how COVID-19-era polling location consolidation strategies affected voter wait times and resource allocation in Rhode Island, with lessons for future election planning.

In this PhD dissertation, Houghton develops advanced algorithmic methods to model voter arrival behavior and vote center utilization to support election resource and capacity planning. Three core contributions: (1) compares voters’ demographic characteristics across three vote center types during the 11-day voting period across multiple elections; (2) analyzes how voters choose among multiple available vote center locations by using graph-based methods to analyze network data and perform statistical community detection; and (3) uses spatial access metrics as input to a genetic algorithm to optimize location selection for vote center siting decisions.