| 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 U.S. Department of Labor (USDOL or the Department) has produced this tenth edition of the List of Goods Produced by Child Labor or Forced Labor in accordance with the Trafficking Victims Protection Reauthorization Act (TVPRA), as amended. Th...Read More
This report is the result of a collective effort to pause, look inwards, and reflect on the process of transformative change. It collates a series of insights, challenges, and lessons learnt by and with ten grassroots organisations from Latin Americ...Read More
There is a high-risk of exploitation within the hotel sector due to its vulnerable workforce, complex supply chains with little transparency, and limited oversight from brands and multinational hotel companies as a result of extensive franchising. I...Read More
The collection of empirical data on the phenomenon of trafficking in human beings and exploitation is essential in determining the extent of this human rights violation, as well as in deriving from the findings policies and measures for the protecti...Read More
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