Judicialización del Beneficio de Prestación Continuada en los tribunales federales

Develops a national data and analysis workflow on Brazil BPC/LOAS litigation, combining court-data collection, analytical reporting and policy recommendations to reduce administrative disputes

• Develop a web-scraping module to collect BPC and LOAS cases from federal court public portals
• Design and implement structured and vector database storage for collected legal documents
• Calculate procedural metrics by regional federal court, year and legal representation type
• Analyse case outcomes, claimant socioeconomic profiles and determinants of litigation patterns
• Prepare a national analytical report with policy recommendations for administrative improvements
• Deliver source files and a reproducible workflow for collection and analysis
• Coordinate outputs with ECLAC and IPEA teams

• University degree in computer science, statistics, economics, public policy or a related field
• Three years of experience in quantitative empirical studies or research and Python data analysis applied to public policy, law, social sciences or related fields
• Knowledge of text mining, natural language processing or computational methods applied to legal data
• Knowledge of relational or vector databases and automated data collection
• Fluency in Portuguese

• Consultancy duration is 360 days
• Deliverables include a web-scraping workflow, structured database, procedural metrics report and final analytical report with source-code repository