| 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 is a summary of the report: The Modern Slavery CoreOutcome Set , a research project funded by the Modern Slavery and Human Rights Policy and Evidence Centre (Modern Slavery PEC), which is funded by the UK Arts and Humanities Research ...Read More
Covid-19 has had a devastating impact on those most vulnerable to forced labour and human trafficking. Around the world, communities already suffering from poverty and exploitation have borne the brunt of the pandemic and its economic fallout. Th...Read More
Modern Slavery is an umbrella term that captures the range of multifaceted and complex crimes, which include all forms of human trafficking, forced labour, debt bondage, forced or servile marriage, and the worst forms of child labour. We know th...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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