Behavioral Science and Decision Making in Context
Using Machine Learning to Analyze Equity in Parole-Release Decisions
Awarded External Scholars
Project Date:
Award Amount:
$75,000
Summary
Parole candidates with similar characteristics can receive different outcomes. Prior research has shown a high degree of arbitrariness in California parole-release decisions. Sociologist AJ Alvero, legal scholar and economist Ryan Sakoda, legal scholar Kristen Bell, and data scientist Jake Searcy will use machine learning tools to better understand the decision-making process during parole proceedings in California. They will analyze transcripts from California parole-release hearings between 2007 and 2019 for their study.
Research Priority
Recent Grants
Award Amount:
$75,000
Award Amount:
$75,000
Award Amount:
$200,000
Award Amount:
$200,000
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