Projects, Programs, and Open Source Tools
Data Science for Social Good Summer Fellowship
Full-time summer program to train aspiring data scientists to work on machine learning, data science, and AI projects with social impact in a fair and equitable manner. Working closely with governments and nonprofits, fellows take on real-world problems in education, health, criminal justice, sustainability, public safety, workforce development, human services, transportation, economic development, international development, and more.
Triage
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.
Aequitas: Bias and Fairness Audit Toolkit
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.
Supporting Proactive Behavioral Health Outreach Programs to Improve Mental and Behavioral Health Outcomes
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 [...]
Investigating the use of Machine Learning to Improve Child Welfare Decisions
In collaboration with Chapin Hall at University of Chicago
