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.
Resources
Use our resource library to explore the latest research in the field of election science.
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 paper, Carter takes an in-depth look at absentee/mail-in voting pre and post COVID-19 pandemic. The paper recommends that more states should expand their access to voting by passing no-excuse absentee/mail-in voting laws due to the positive impacts of expanded mail voting policies on voters during the pandemic.
In this paper, authors explore whether reliance on algorithms or a hybrid system for verifying signatures allay or increase citizens' confidence in using them in elections. They find that respondents similarly trust automated and non-automated systems, but do not have a clear conception of the confidence threshold, set by policymakers, necessary for rejecting ballots.
This research conducts a systematic review of the European mail voting systems to identify a set of best practices for making voting by mail as easy as possible, while safeguarding the secrecy and security of the vote.
This research finds evidence which implicates evaluator bias as the primary driver of racial disparities in vote by mail signature verification.
This research analyzes the demographics of voters whose mail ballots are rejected in Washington and Colorado. It finds that younger voters and voters of color are more likely to have their ballots rejected due to a non-matching signature; however, almost half of these rejections are ultimately incorrect and are cured by the voter. Additional findings show that the experience of having a ballot rejected in one election, even if the issue is resolved through ballot curing, reduces the voter’s likelihood of participating in subsequent elections.
This research finds that when people vote by mail, they are more likely to successfully identify the candidates that are best aligned with their preferences.
The results indicate that state mail voting laws (universal mail voting or no-excuse absentee mail voting) and more widespread use of mail voting ballots can boost turnout in primary elections, particularly when combined with open or nonpartisan primary rules.
This academic paper focuses on election misinformation, fraud narratives, or public misperceptions and their effects on confidence in U.S. elections. It is relevant because beliefs about fraud and exposure to misleading claims are central mechanisms through which confidence in election outcomes rises or falls. For this dataset, it helps capture the most recent post-2020 trust environment and the continuing effects of election denial, security concerns, and polarization.