| 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. |
On 10-12 November 2020, the USAID Asia Counter-Trafficking in Persons project hosted the 2020 CTIP Evidence Summit, "From Evidence to Action", which included the two Summit discussions "Barriers to Evidence Uptake — Civil Society Organization (CSO...Read More
This global systematic review explored the published and grey literature about the sexual exploitation of boys. Findings from 69 qualifying publications from 37 countries around the world are reviewed. The report presents common characteristics acro...Read More
While previous qualitative research has exposed select forms of modern slavery in the Pacific, this report provides a comprehensive assessment of modern slavery in the region. The report draws on existing peer-reviewed and grey literature, Wa...Read More
This report presents the findings from the Global Business of Forced Labour project. The project investigates the business models of forced labour in global agricultural supply chains. Over two years the project systematically mapped the business ...Read More
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