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.

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.

This paper examines whether minority and Democratic-leaning voters in Florida receive lower poll worker staffing. Using data from multiple elections, authors find evidence of partisan disparities in staffing levels, with Democratic-trending counties receiving worse service relative to Republican-trending counties. They apply operations management methods to document systemic resource allocation inequities in polling place operations.

Hostetter examines whether the use of electronic poll books affects voter wait times, finding mixed results that depend on context, including photo ID requirements and precinct demographics.

This paper employs discrete-event simulation to model Milwaukee's in-person voting system during COVID-19. It reveals that poll worker shortages, social distancing measures, and PPE requirements can lead to very long voter wait times. The evaluation considers various design strategies to reduce pandemic-related effects, such as adding check-in locations, expanding early voting, and preventing the consolidation of polling sites.

In this paper, authors generate voter wait-time estimates using an indifference-zone generalized binary search method to optimize and determine resource allocation, such as electronic poll books and voting machines, to reduce wait times.

In this paper, authors test whether voters can detect malicious manipulation of ballot-marking devices, finding low detection rates and showing that signage and poll worker prompts can modestly improve verification rates.

In this MS thesis, Houghton develops a methodology to estimate voter arrival rates at polling stations using electronic poll book transaction logs. It includes service time observations collected through time studies during the 2018 Rhode Island midterm election across seven precincts. The study applies a Hidden Markov Model to infer voter arrival patterns from the check-in records. Finds that e-pollbook logs offer a scalable, less labor-intensive alternative to manual observation for estimating arrival rates.

This research focuses on whether voters’ confidence is shaped by the racial or ethnic representation of poll workers and election staff.

This paper analyzes the quantity and quality of poll workers, highlighting that performance, rather than numbers alone, is a key factor in voter satisfaction and the efficient conduct of elections.