| 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 publication takes stock of technology tools and initiatives developed to combat trafficking in human beings in its different forms in the OSCE area and beyond. It also examines the ways technology can be misused to facilitate trafficking in huma...Read More
This training manual – developed by ILO and UNICEF under the UN Global Initiative to Fight Human Trafficking – seeks to aid governments, workers, employers, international, and non-governmental organizations that combat trafficking in children f...Read More
Corporations have increasingly turned to voluntary, multi-stakeholder governance programs to monitor workers’ rights and standards in global supply chains. This article argues that the emphasis of these programs varies significantly depending on s...Read More
The data in this report represents signals and cases from January 1, 2017 through December 31, 2017 and is accurate as of July 11, 2018. Cases of trafficking may be ongoing or new information may be revealed to the National Hotline over time. Conseq...Read More
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