| 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 Annual Report focuses on the steps the UK Government, the Scottish Government and the Northern Ireland Executive have taken in 2018 to combat modern slavery, including human trafficking.
The engagement of children in domestic work in third-party households is mostly conceived as a decision that benefits adult actors – employers, intermediaries and/or parents – at the expense of young people. Thus, child domestic workers are ...Read More
by Andy Shen and Abby McGill, ILRF International Labour Rights Forum (ILRF) launched the Independent Monitoring at Sea (IM@Sea) project to address some of the vulnerabilities of migrant workers in the Thai fishing fleet by enabling worker connectivi...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
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