Data Science, Police Accountability, and Community Engagement Research Lab

The Data Science, Police Accountability, and Community Engagement (DSPACE) Group partners with communities to work towards data-informed police accountability. Housed within the Institute for the Quantitative Study of Inclusion, Diversity and Equity (QSIDE) since 2021, the DSPACE Group serves as the Institute’s research-intensive branch in the realm of police accountability. Our team of mathematicians, statisticians, and data scientists collaborates with community members and organizations to answer challenging questions about patterns in policing. Our endeavor is to make a direct and meaningful impact to the public and to contribute to scholarly research at the intersection of data science/statistics and policing.

Lab Contributors

Claire Kelling

Assistant Professor of Statistics, Carleton College

Ariana Mendible

Assistant Professor of Mathematics and Data Science, Seattle University

Alex Wiedemann

Assistant Professor of Mathematics and Computational Data Science, Hamline University

Tim Marrinan

Data Scientist, Pacific Northwest National Laboratory

Mia (Cong) Wang

Student Researcher, BS Mathematics & Statistics ’25, Carleton College

Will Asinger

PhD Student, Biostatistics and Health Data Science, University of Minnesota

Reinvestigation Workgroup

A Minnesota-based investigation team that reinvestigates police killings