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The Real-Time Crime Forecasting Challenge seeks to harness the advances in data science to address the challenges of crime and justice. It encourages data scientists across all scientific disciplines to foster innovation in forecasting methods. The goal is to develop algorithms that advance place-based crime forecasting through the use of data from one police jurisdiction.
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Based on the research findings, law enforcement officers appear to commit crimes at a much lower rate than the general public. However, in some cases, at times due to the stressors of the job and frequent exposure to trauma and violence, officers engage in misconduct or criminal behavior.
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However, in some cases, at times due to the stressors of the job and frequent exposure to trauma and violence, officers engage in misconduct or criminal behavior. The National Institute of Justice understands what’s at stake for public safety and officer wellness when we ignore warning signs of officers struggling with occupational hazards and other psychological hardships.
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