Effectiveness of Big Data-Driven Predictive Policing

This technical report examines the effectiveness of big data-driven predictive policing (BDPP) through a systematic review of existing studies. The analysis focuses on the instrumental aspects of BDPP, specifically its claimed effectiveness in reducing crime, while intentionally excluding normative or ethical considerations. The review outlines the methodology employed in the analysis, including the search terms and the inclusion and exclusion criteria for selecting relevant studies. It details the screening process that resulted in a final selection of studies for review, categorizing them based on their application in real-world testing and retrospective analysis. The report also discusses the concerns associated with BDPP, such as issues of bias, surveillance, and the potential for distrust between law enforcement and the public. It concludes by highlighting the need for further research, including randomized controlled trials, to validate the effectiveness of BDPP and to ensure transparency and community trust in its implementation.