Resources

In this paper, authors compare electronic and paper ballot voting systems, examining how election laws directly impact operational efficiency and capacity, and what this means for polling place design and resource allocation.

The biennial comprehensive survey of election administration across all 50 states, five territories, and D.C., covering the 2022 midterm general election—widely seen as a return to normal operations after the COVID-19-disrupted 2020 election. Key in-person voting findings include: 645,219 poll workers assisted with early and Election Day voting, including more than 80,000 first-time poll workers (16.7% of the total); election officials reported that poll worker recruitment was meaningfully easier than in the 2018 midterms; e-pollbook adoption grew significantly, with 2,271 local jurisdictions in 40 states using them (up 60% from 2008); nearly all states (94.6%) reported conducting logic and accuracy testing of voting machines before tabulation; and the 2022 EAVS collected data on drop boxes and ballot curing for the first time, finding nearly 13,000 drop boxes in use nationally. The survey also covers voter registration, UOCAVA voting, absentee voting, provisional balloting, and voting technology across all reporting jurisdictions.

This paper present a case study examining the implementation of Election Day vote centers, finding that successful adoption requires coordination across multiple elements of the election ecosystem.

The SMILE series are instructional videos, based on over 8,000 simulations, that help election officials visualize cost-effective resource allocations for polling locations that keep wait times under 30 minutes. The series covers polling place consolidation, new equipment integration, and allocation of accessible voting technology.

In this report, Stewart documents persistent racial and ethnic gaps in the in-person voting experience, including longer wait times and lower confidence among Black, Latino, and Asian American voters compared with white voters.

In this paper, authors examine how polling place closures following the Supreme Court's Shelby County v. Holder decision affected voter wait times during Georgia's 2016 presidential election. Using queueing theory and empirical data, it quantifies the impact of consolidating polling locations on wait times, with particular attention to how closures affected different communities. Authors provide evidence linking post-Shelby polling place reductions to measurably longer lines.

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.

In this PhD dissertation, Bernardo develops a simulation-based framework to examine how in-person election system conditions affect voter wait times and throughput. Three core contributions: (1) observational time studies of voting operations across multiple Rhode Island elections to calibrate arrival-rate and service-time parameters; (2) discrete-event simulation models of polling-place operations under varying equipment types, layouts, and resource levels; and (3) application of the models to COVID-19 social-distancing scenarios, precinct-consolidation decisions, and minimum requirements for accessible equipment.

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.

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.