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@comppolicylab

Computational Policy Lab

Driving social impact through technical innovation
README.md

Computational Policy Lab

At the Computational Policy Lab, we use technology to tackle pressing issues in criminal justice, education, voting rights, and beyond. Leveraging advances in data science, we study the impact of policy choices at unprecedented scales, and build algorithmic tools to guide high-stakes decisions. By bringing a computational perspective to public policy, we aim to improve the lives of millions of people — especially those affected by inefficient and unfair systems and practices.

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  1. blind-charging-api blind-charging-api Public

    REST API for Blind Charging

    Python 2

  2. learning-to-be-fair learning-to-be-fair Public

    Replication materials for Chohlas-Wood et al. (2024)

    R 1 2

  3. blind-charging blind-charging Public archive

    Public repo for race-blind charging algorithm.

    Python 1

  4. bc2 bc2 Public

    Core race-blind charging redaction library

    Python 1

  5. pingpong pingpong Public

    A software platform carefully designed for AI-driven learning.

    Python 1 2

  6. court-reminders court-reminders Public

    Replication materials for "Automated Reminders Reduce Incarceration for Missed Court Dates" (2025)

    R 1

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