| Many valuable, but often fragmented models are currently used in the fight against human trafficking. Building from the themes raised in a five-part webinar series hosted by Freedom Collaborative last fall, this paper argues that data should be used purposefully and ethically to coordinate anti-trafficking responses and better address the needs of victims of trafficking and the vulnerable. In this paper, the authors explore different types of data and their relative strengths and limitations in counter-trafficking work. Data collection methods both online and in the field, including the use of artificial intelligence, are considered. Given the complexity of human trafficking and the many factors that influence it, the authors argue that combining disparate data sources and developing infrastructure to aggregate vast and diverse datasets are important pieces to developing our understanding of this issue and creating more impactful programming. |
The National Survivor Survey is the largest and most significant effort to date to learn directly from survivors of sex and labor trafficking. This report uses the findings from this study to paint a detailed picture of the arc of trafficking – fr...Read More
This case study is one of a series of case studies to supplement the global campaign report, Ripe for Change, drawing attention to the plight of specific groups of small-scale farmers or workers in international food value chains and/or promoting su...Read More
As in any modern industry, technology has revolutionized the production and distribution of seafood. Today, highly perishable products, once caught solely in the wild, can be farmed, processed, packed, and shipped to destinations worldwide in a matt...Read More
This project sought to set out the determinants of anti-trafficking efforts, understood as factors shaping governments’ anti-trafficking efforts and influencing compliance with – and implementation of – international standards. It sought to do...Read More
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