This paper uses geographic discontinuities at block boundaries to identify the causal effect of polling place assignment on voter turnout, finding that distance to and familiarity with a polling location matter for participation.
Resources
Use our resource library to explore the latest research in the field of election science.
This report provides a comprehensive review of the existing literature on in-person voting to determine best practices and identify areas where more research is needed, covering both operational features and the voter experience.
The Voting Location Resource Calculator is an interactive simulation tool that helps election officials estimate voter wait times and identify potential bottlenecks in the voting process. Officials can enter data on existing voting locations, including steps required to vote, layout, and equipment, to simulate current conditions or test changes to resources and processes. Based on observational data from U.S. elections from 2018 to 2024.
In this paper, authors use simulation-optimization to identify voting equipment allocation requirements across different polling location consolidation strategies, providing guidance for jurisdictions considering consolidation.
This report details how American voters experienced the 2022 midterm election, based on a survey of 10,200 registered voters (including 200 from each state and D.C.), administered by YouGov. Key findings on in-person voting show mail ballot usage declined to 32%, down from 43% in 2020, while Election Day in-person voting increased to 50%. Most voters had short wait times, but racial disparities persisted. Disruptions at polling places were rare but measurable. Voter confidence varied significantly by party, with Republicans showing much lower confidence than Democrats. This is the only SPAE report on a midterm election cycle since 2014, enabling direct comparisons between presidential and midterm voting experiences.
Using this tool, NCSL tracks and classifies voter ID laws across all 50 states along two dimensions: whether they require voters to present an ID and whether the requirement is strict or non-strict.
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.
This report examines poll workers in the current election environment, including recruitment challenges, training needs, and the role poll workers play in shaping the voter experience and in building public confidence in elections.
In this paper, authors provide recommendations from disability voting rights advocates on how to improve the physical accessibility of polling locations and the usability of accessible voting equipment.
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.
This paper challenges the HAVA minimum of one ADA-compliant device per polling location as insufficient and recommends that local election officials determine the number of accessible devices based on the proportion of voters with disabilities in their jurisdiction.
In this PhD dissertation, Schmidt introduces optimization and simulation models to support the design and operation of resilient in-person election voting systems. Three core contributions: (1) a discrete-event simulation of pandemic-resilient polling-place design, with a case study of Milwaukee, WI; (2) the Polling Location Consolidation Problem (PLCP), an integer programming model applied to Richland County, SC; and (3) an optimization model for ballot drop box siting in Milwaukee.