| 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 the second of three working papers exploring the experiences and drivers of labour abuse and exploitation in three understudied low-paid sectors of the economy: cleaning, hospitality and the app-based courier sector. It highlights k...Read More
By Anna Triponel and John Sherman Introduction On the evening of 23 March 2017, just as the deadline for a decision was approaching, the French Constitutional Court declaredthat the French law on the duty of vigilance (or duty of care) owed by pare...Read More
In 2015, the UK Government introduced the Modern Slavery Act (MSA), which requires certain companies publish an annual statement detailing what steps they have taken to tackle modern slavery, both in their operations and in their supply chains. Busin...Read More
The data in this report represents signals and cases from January 1, 2018 through December 31, 2018 and is accurate as of July 25, 2019. Cases of trafficking may be ongoing or new information may revealed to the National Hotline over time. Consequen...Read More
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