| 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 first full version of the Corporate Human Rights Benchmark is out. The results are revealing; there is a race to the top in business and human rights performance, but this is only amongst a welcome cluster of leaders while the great majorit...Read More
This retrospective report provides a historical perspective on the context in which the TVPA (the Trafficking Victims Protection Act of 2000) was crafted, celebrates the major accomplishments of the United States government, and provides a view of t...Read More
Between 1998 and 2008, several hundred North Koreans worked for roughly ten Czech companies. They were mostly young women employed in the shoemaking, textile, and food industries. Initially, their presence attracted little attention from the media o...Read More
Labour migration may benefit employers and workers, and across the world recruitment agencies play an important role in matching migrant workers with available jobs. However, while the cost of recruitment of higher skilled migrant workers tends to b...Read More
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