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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.
An NIJ-funded study shows that American Indian and Alaska Native women and men suffer violence at alarmingly high rates.
An analysis of programs and practices in CrimeSolutions finds that cognitive behavioral therapy can deter crime, assist victims and prevent recidivism.
In neighborhoods with collective efficacy, neighbors agree on what is acceptable behavior and reinforce it in each other.
