This episode of Proof Over Precedent looks at predictive modeling research that could be used alongside policy research to answer the question, “What can we do to increase the number of criminal records cleared?” Researchers examined existing data on automatic record sealing in Pennsylvania and petition-based expungements in Kansas and adjusted criteria that could contribute to more effective record clearing. In the process, they made surprising discoveries on the state and future of criminal record clearances.
Read the corresponding blog post.
Speakers:
- Renee L. Danser, Associate Director of Research and Strategic Partnerships, Access to Justice Lab at Harvard Law School
- Jim Greiner, Honorable S. William Green Professor of Public Law at Harvard Law School; Faculty Director of the Access to Justice Lab at Harvard Law School
- Matthew Stubenberg, president, Stubenberg Legal Group; former Innovator in Residence, William S. Richardson School of Law, University of Hawaii; former Associate Director of Legal Technology, Access to Justice Lab at Harvard Law School
Resources mentioned:
- “Criminal Justice Record Clearing: An Analysis from Two States”, North Dakota Law Review
- GitHub Kansas Expungement Analysis Data
- GitHub Pennsylvania Expungement Analysis Data
Share feedback and relevant topics you would like the A2J Lab to discuss: a2jlab@law.harvard.edu
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Proof Over Precedent cover art by Courtney Chrystal