| 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 coronavirus pandemic and resulting government actions to stem the spread of the virus have severely changed the way people across the world work and live. For Jordan’s garment sector, the national curfew and shutdown of business activity force...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
This briefing paper has been compiled using information included in the Out of the Shadows Index and the ECPAT Country Overview for Nepal. The brief describes Nepal's score on the Out of the Shadows Index, which measured the countryâ€...Read More
No country in the world is immune to the devastating impacts of modern slavery and human trafficking. Representing one of the world’s most profitable criminal enterprises, it generates some USD 150 billion per year. Addressing the financial angle...Read More
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