Decision support system to evaluate the socioeconomic impact of agrarian reform in Brazil

Abstract This paper aims to develop a data‐driven decision support system (DSS) to evaluate the socioeconomic impact of the Brazilian National Agrarian Reform Program (PNRA) on resettled families. The DSS integrates a comprehensive questionnaire based on a literature review and expert consultations, covering quality of life, organizational management, and post‐settlement perceptions. A pilot field test was conducted using a custom system designed to streamline data collection. Data were processed through Power BI to generate three analytical dashboards: respondent demographic profiles, organizational management metrics, and settler perceptions of program impacts. Based on feedback from experts and field technicians, the questionnaire, software interface, and dashboard visualizations were refined to improve the interpretation of results. The proposed DSS demonstrated operational feasibility in supporting evidence‐based decision‐making regarding PNRA implementation, providing tools that facilitate rigorous evaluation of the program's socioeconomic outcomes. This system provides the fundamental data architecture and validated metrics necessary to build future AI‐driven predictive models for policy optimization and risk assessment in the agrarian reform context.