Real-Time Crime Forecasting Challenge

The Department’s Neal Grantham was one of the winners that will be getting a portion of $10,000.00 that will be split amongst the other winners.

The Real-Time Crime Forecasting Challenge sought to harness the advances in data science to address the challenges of crime and justice. It encouraged data scientists across all scientific disciplines to foster innovation in forecasting methods. The goal was to develop algorithms that advance place-based crime forecasting through the use of data from one police jurisdiction.