We're a team of researchers and data scientists who use computational approaches to address issues in criminal justice, education, voting rights, and beyond.
The US Place Sampler is now available to all, making it easy for anyone to sample random US street addresses to dig into disparities. See this video for an overview of how it works: zurl.co/If1X
ALT US Place Sampler tool zoomed in on Palo Alto, CA
Looking for a primer on generative AI? This open course, offered by our lab faculty director @5harad and affiliate @tedsvo, provides an introduction to how GenAI works, how to use it, and the larger opportunities and challenges it poses for society. zurl.co/2anx
Thrilled to announce that our Faculty Director @5harad has won the @Kennedy_School 2024 Innovations in Teaching Award! Read more about Prof. Goel's approach to integrating data science and public policy to shape the future of education. zurl.co/w3Eo
🔦Collaborator spotlight: take a look at the great work our friends at Unlocked Labs ( @LabsUnlocked) are doing to build a better justice system from the inside out. zurl.co/7xuc
Check out the lab's own @LX_CW presenting our work on race-blind charging as a case study on AI in policy in a recent @theNASEM webinar series: zurl.co/amoz
We’re redacting both explicit race tokens (e.g. “black man”), and also other info (like a person’s name, or home address) that could be used to infer someone’s race. Here’s an example (to protect privacy, it’s not a real case).
Today we're releasing data on (another!) 100 million traffic stops across the U.S.! Our Open Policing Project now includes 200M+ records from 49 cities and 33 state patrol agencies: openpolicing.stanford.edu
This map shows traffic stops on a typical Saturday night in Philadelphia.