| 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. |
Out of the shadows: Shining light on the response to child sexual abuse and exploitation, a 60-country benchmarking index, examines how countries are responding to the threat of sexual violence against children. It explores the environment in whic...Read More
These insights are drawn from detailed, country-specific research and legal analysis conducted by the Disrupting Harm team throughout 2020 and 2021. A range of national laws and draft laws were identified which define and address chil...Read More
This paper explores the question of what traceability systems mean for the labour situation of fish- workers; for whom and in what respects is traceability effective, and what impact do these systems have? The limited social criteria in fi...Read More
This paper has been produced in an effort to move beyond an oversimplified view of the problem and propose a comprehensive and multi-pronged, preventive strategy aimed at disabling predators and deflating demand. More specifically, the document is i...Read More
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