Resources

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 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 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.

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.

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.

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.

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 shows how reporting data at the ballot-card level can reduce risk limiting audits sample sizes and improve audit efficiency.

In this paper, authors examine the effects of automatic voter registration (AVR) on both registration and turnout. They find that ind it does raise registration rates substantially, that the effect of AVR gradually builds the longer it is in place, and that the different types of AVR have significantly different effects on both registration and turnout.

In this article, authors argue that supported decision making is ideal for people with dynamic cognitive and functional impairments that place them at the margins of autonomy. This research supports the idea that people with cognitive
disabilities can make important decisions such as voting while relying on trusted assistors in executing those decisions.

This academic article studies how messages from political elites influence public confidence in elections and acceptance of democratic norms.

This research finds that a majority of Trump voters in the survey sample falsely believed that election fraud was widespread, and that Trump won the election. It also finds that Trump conceding or losing his legal challenges would likely lead a majority of Trump voters to accept Biden’s victory as legitimate, although 40% said they would continue to view Biden as illegitimate regardless.