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What Queuing Theory Says about Managing Polling Places Amid COVID-19
For election jurisdictions of all sizes, planning to make all the changes necessary to vote in 2020 can be an overwhelming task. This white paper focuses on one important aspect of managing the redesign of polling place procedures to accommodate the realities of voting amid the pandemic: managing the volume of traffic through a polling place.
Administering the system of elections
New Research
MEDSL
Stanford-MIT Project on a Healthy Election
To address the unprecedented and ongoing threat that the COVID-19 pandemic poses to the 2020 elections, the Stanford-MIT Project on a Healthy Election will bring academics and election administration experts together to assess and promote best practices to ensure the election can proceed with integrity, safety, and equal access.
Current Events
MEDSL
Announcing the Elections Performance Index
The MIT Election Data and Science Lab is proud to launch a brand new website with the updated Elections Performance Index, providing a nonpartisan, objective measure of state election administration from 2008–2018.
Election Administration
MEDSL
Announcing the Election Landscapes Project
The MIT Election Science + Data Lab is proud to launch "State Election Landscapes: The Great Lakes States," a collaborative effort to fill the knowledge gap about elections administration in the six Great Lakes States — Illinois, Indiana, Ohio, Michigan, Minnesota, and Wisconsin.
Data + Analysis

Our Story

By applying scientific principles to how elections are studied and administered, MEDSL aims to improve the democratic experience for all U.S. voters.
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Our Funders

William and Flora Hewlett Foundation
Joyce Foundation
Democracy Fund