In collaboration with Chapin Hall at University of Chicago

In partnership with Johnson County, Kansas (JoCo) and Douglas County, Kansas (DoCo), our goal is to support caseworkers address mental health needs in their respective counties.  JoCo and DoCo caseworkers and service providers are critical to improving overall community well-being and preventing these deaths of despair. However, identifying people in need of assistance is hampered [...]

Building a Machine Learning-based Early Intervention System that helps identify officers at risk of adverse incidents — such as sustained complaints, unjustified uses of force, and preventable accidents — in order to match them with appropriate early interventions.

An open source bias audit toolkit for machine learning developers, analysts, and policymakers to audit machine learning models for discrimination and bias, and make informed and equitable decisions around developing and deploying predictive risk-assessment tools.

An open source machine learning toolkit to help data scientists, machine learning developers, and analysts quickly prototype, build and evaluate end-to-end predictive risk modeling systems for public policy and social good problems.