| 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. |
This report is about sharing topics that draw from the author's personal and professional experiences that they, as a Council, believe are important to effectively address human trafficking today. This report reflects the passion of those with lived...Read More
This report examines how states and localities across the country—both red and blue, with and without a long history of labour-protection regimes—are developing innovative strategies to enforce labour standards, and to do so more strategically. M...Read More
Identifying particularly vulnerable groups of children and their specific needs is essential for the elimination of child labour. Article 7 of International Labour Organization (ILO) Convention No. 182 on the Worst Forms of Child Labour, 1999 – th...Read More
The data in this report represents signals and cases from January 1, 2019 through December 31, 2019 and is accurate as of July 30, 2020. Cases of trafficking may be ongoing or new information may revealed to the National Hotline over time. Consequen...Read More
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