Machine-learning has the potential to improve the effectiveness of labor prosecutions and deliver justice.

Stanford Human Trafficking Data Lab

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    The Stanford Human Trafficking Data Lab joins “Comprehensive Action towards Forced Labor Eradication (CAFE),” the Fund’s multifaceted effort to eliminate forced labor in the Brazilian coffee industry, to increase the number of successful anti-trafficking actions, and study overall project effectiveness. The Lab will work with prosecutors and other anti-trafficking actors in Brazil to develop an AI-driven tool to model trafficking risks and improve resource allocation, thereby increasing the efficiency of enforcement actions and paving the way for new prevention mechanisms.

    New Geography, New Sector

    Brazil’s coffee industry has more cases of forced labor reported than any other industry in the country. Coordinated Action towards Forced labor Eradication (CAFE) aims to reduce forced labor in Brazil’s coffee industry, and seeks to create large-scale change by combining focus on protection, prosecution, and survivor inclusion.

    Read More about CAFE

    About Stanford Human Trafficking Data Lab

    The Stanford Human Trafficking Data Lab aims to be at the forefront of quantitative scholarship and data-driven approaches to fighting human trafficking. During its formative period, the Lab has focused on (1) developing a human trafficking data repository as a global model for integrating and curating administrative government data sources for new scholarship on trafficking markets, and (2) advancing a set of rigorous multidisciplinary research projects using the data repository to better understand human trafficking markets and the impact of policies focused on them. The goal is for this planning and development phase to serve as a proof-of-concept, demonstrating what can potentially be replicated and scaled.

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