Description: Juvenile justice analytics refers to the application of data analysis techniques in the juvenile justice system, aimed at improving decision-making and optimizing available resources. This approach uses predictive analysis tools to identify patterns and trends in juvenile delinquent behavior, as well as the effectiveness of interventions and rehabilitation programs. Through data collection and analysis, juvenile justice officials can anticipate future behaviors, assess risks, and design more effective strategies to prevent crime and promote social reintegration. This type of analysis not only focuses on delinquent behavior but also considers socioeconomic, familial, and educational factors that may influence young people’s lives. The implementation of juvenile justice analytics ultimately seeks to promote a more equitable and efficient system, where decisions are based on evidence rather than assumptions, thereby contributing to better justice administration and the well-being of young people involved in the system.
