This brief, published by the Bureau of Justice Assistance and the CNA Corporation, provides an accessible resource for law enforcement agencies and their stakeholders (e.g., crime analysts, policymakers and researchers) who are interested in learning more about the role of predictive analytics in police operations. Specifically, the brief summarizes the use of predictive analytics to inform policing operations; distinguishes between approaches to predictive analytics (person-based and place-based); highlights the emergence of machine learning algorithms as a preferred predictive analytics technique; delineates considerations and limitations brought forth in recent literature which law enforcement agencies must consider when using predictive analytics to reduce and prevent crime; and summarizes several research studies and real-world policing initiatives as examples of how the use of predictive analytics can inform policing practice.
To download the full brief, visit https://tinyurl.com/yyw2q2oy (PDF)