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Geospatial Analysis

Real-Time Crime Forecasting Challenge

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.

NIJ FY 14 Testing Geospatial Predictive Policing Strategies

Closing Date

NIJ is seeking proposals for research that links theory of any discipline (e.g., criminological, behavioral, economic, sociological) to geospatial predictive policing strategies. In particular, NIJ is interested in proposals that focus on linking theories to current policing strategies, discerning potential disconnects in the levels of analysis between theory and practice, explicating what effects this may have on findings, and, finally, addressing means of adapting theory...