$226,942 grant funds research to
alleviate delays
The RI Votes Research Team: From
left: Ahmad Siddiqi, Assistant Professor Gretchen Macht, Nick Bernardo and
James Houghton. URI photo by Neil Nachbar.
University of Rhode Island Assistant
Professor of Engineering Gretchen Macht is using a $226,942 grant to conduct
research into how to streamline the voting process in Rhode Island.
Titled RI VOTES (Voter
OperaTions & Election Systems), the grant was funded by the Rhode Island
Board of Elections, the Secretary of State’s office, the URI College of
Engineering, and The Democracy Fund, an independent, private foundation.
Two years ago, significant delays in
the voting process were reported at some locations, including East Providence, Jamestown, Pawtucket, Providence and Warren.
In some cases, it took more
than two hours for people to cast their ballot. According to the Presidential
Commission on Elections Administration, a voter should not have to wait more
than 30 minutes.
Secretary of State Nellie M. Gorbea
convened a task force in February 2017 to investigate the cause of the delays,
and reached out to URI’s College of Engineering for expertise.
A 14-page report released in April 2017 by the task
force recommended that the Board of Elections work with Macht, and while she
was honored and excited to be selected, she was well aware of the difficulty of
the task.
Valerie Maier-Speredelozzi,
associate professor of mechanical, industrial and systems engineering, also
joined the effort by convincing Simio, LLC to donate a simulation software package for
use on the RI Votes project.
Valued at $132,000, the package includes 55
licenses and technical support. It enables Macht and her team to create a
three-dimensional simulation of any voting precinct in Rhode Island by entering
the number of check-in stations, voting booths, scanners and the physical
layout of the precinct.
“By using voting data from the 2016
election precincts where everything ran smoothly, we are able to create a
baseline trend and compare that to the locations where there were delays,”
Macht said.
Multiple precincts in Rhode Island
reported scanners that jammed, causing long delays.
“One of the things we’re looking
into is whether the paper jams were a result of human error or machine error,”
Macht said. “The thought is that the precincts that had especially long ballots,
requiring more pages, experienced the most problems.”
Seniors and graduate students in
Macht’s Introduction to Human Factors and Ergonomics course conducted studies
in the fall 2017 semester on the time it took to check a voter into the polling
location, time spent in a voting booth, and at the scanner.
Maier-Speredelozzi had students in
her Facilities Planning and Material Handling course work with the Simio
software in the spring 2018 semester, in association with Macht’s RI Votes
research project.
“Each team of students was assigned
a different voting precinct,” Maier-Speredelozzi explained. “They visited the
polling location and assessed the space, layout, electricity, parking, and
accessibility with respect to the Americans with Disabilities Act. Then they
built models of the different precincts using the Simio software.”
Two of Macht’s students were
original members of the team — Cherish Prickett of Lilburn, Georgia and James Houghton of Holtsville, New York. Prickett has
since graduated, having completed URI’s International Engineering Program.
Houghton graduated in the spring of 2017. After working in industry for almost
nine months, he rejoined the team in spring 2018.
Nicholas Bernardo, of North Haven, Connecticut, joined
the team his senior year. As an undergraduate, he worked on the team as part of
an independent study project and now as a graduate student, he is working on
the project for his thesis.
Bernardo and Houghton recently spent
four days at a training at Simio’s headquarters in Sewickley, Pennsylvania.
The newest team member is
undergraduate mechanical engineering student Ahmad Siddiqi, from Lincoln, Rhode Island. Siddiqi
has completed several two- and three-dimensional sketches of the precincts and
has worked on models using the Oculus Rift virtual reality system.
The RI VOTES project won’t be
completed until June 2019, but the November 2018 elections will play a
significant role in advancing the research.
“We’ll apply what we have at the
time of the 2018 elections and use the results to improve and adapt the
models,” said Bernardo. “This can act as a small-scale trial of the tools we
have developed.”
With the initial task of collecting,
entering and processing the 2016 election data complete, the research team is
finishing the time-consuming task of making sure the data is accurate and
interpreting the information.
The next step is to develop a
simulation model that can be applied to any precinct in the state, regardless
of population, the number of machines or workers, or the length of the ballot.
“We hope to reduce the maximum time
a voter spends in a polling location in our simulated models, and then
replicate these models in actual polling locations to improve the voter
experience,” Bernardo said. “We really want to encourage people to vote by
making the experience quick and easy, rather than a seemingly inconvenient
obligation.”