Resources

In this paper, authors use a national survey of poll workers from the 2022 midterm election to analyze whether there are systematic differences between experienced and inexperienced poll workers in how they manage polling sites. They finds that experienced poll workers are more likely to say that their training prepared them for the election, yet their experience also correlates with more conflicts involving poll watchers and voters. This research fills a crucial gap in understanding how poll workers' experience influences Election Day operations.

The resources below are designed to help election officials manage the process of registering voters and creating, updating, and maintaining voter records.

In this MS thesis, Fry examines the accessibility of in-person voting equipment, specifically Ballot Marking Devices (BMDs) and Direct Recording Electronics (DREs), across U.S. elections from 2000 to 2024. She uses data from Verified Voting, the U.S. Census Bureau, and BMD/DRE manufacturers to analyze trends in the deployment of accessible equipment and to evaluate current systems against VVSG 2.0 Principle 7 (the right to vote privately and independently). The author finds that although accessible equipment coverage has improved substantially since HAVA, significant gaps remain in meeting current usability and accessibility standards.

This paper synthesizes best practices for in-person voting across polling place access, check-in and wait times, polling place layout and design, ballot design, and the voter experience.

In this MS thesis, the author investigates how voting equipment type (paper ballots, optical scan, and ballot marking devices) affects voting process performance across three elections at three locations. They use observational time studies and discrete-event simulation to model how different voting systems affect voter wait times, throughput, and overall process efficiency. The author find that performance improvements from adopting newer voting technologies are inconsistent across election contexts.

In this paper, authors invite the human factors and ergonomics community to engage with election administration research. The paper describes the complexity and scale of U.S. election administration and identifies open research challenges where human factors expertise is directly applicable, including accessible design, poll worker training, and error minimization.

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.

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.

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.

In this paper, authors provide a structured, data-driven framework to help election officials make consolidation decisions by applying it in a case study using Richland County, South Carolina data. The paper names an integer programming model, the Polling Location Consolidation Problem (PLCP), that simultaneously selects polling locations, reassigns voter precincts, and allocates resources while minimizing increases in voter travel distance.

This paper demonstrates that layout method and path directionality significantly affect average voter travel distance within a polling place and presents ways layout can be used to design more efficient in-person voting systems.

This paper examines an unintended consequence of automatic voter registration: effects on party registration. Examining the state of Oregon, a state with back-end AVR, the analysis documents a significant decreases in partisan voter registration rates.