Data-Driven Justice

Data-Driven Justice is an approach that uses accurate information and analysis to improve the justice system’s fairness and effectiveness. By collecting and examining data about individuals and system patterns, it helps identify where resources are most needed, reduce unnecessary arrests or detention, and ensure fair treatment. This method aims to make decisions—like who to supervise or support—based on evidence rather than assumptions, ultimately creating a more efficient, equitable, and transparent justice process for all involved.