Our Mission
The Data and Democracy Lab (formerly MGGG Redistricting Lab) anchors the Data and Democracy Research Initiative at the University of Chicago. Led by PI Moon Duchin, the Lab grew out of an informal research collective called the Metric Geometry and Gerrymandering Group. Together with our close collaborators, we have expertise and interests spanning mathematics (geometry, topology, discrete math, dynamics), algorithms, software development, geography, science studies, law, and policy. We research data science interventions – better mechanisms, better models, better metrics – for democracy.
Our goals are these:
- to pursue cutting-edge research in the basic science and practically relevant applications of geometry, topology, and computing to the design of democratic mechanisms, including but not limited to redistricting and ranked choice voting;
- to build open-source tools and resources that create public access and analytical power for better understanding election systems and their consequences;
- to partner with civil rights organizations to reexamine and to strengthen the quantitative toolkit for protecting voting rights;
- to offer formal and informal expert consulting to stakeholders on all sides.
Highlights
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Jobs
- researching voting systems, redistricting, and other topics at the intersection of mathematics and democracy;
- software development of our open-source packages in Python and various other languages; and
- collaborating with community partners and civil rights organizations.
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The Data and Democracy Lab is a nonpartisan research organization located within the Data Science Institute at the University of Chicago.