| 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. |
Written by Jordan Greenbaum, Hanni Stoklosa, and Laura Murphy. The global pandemic of severe acute respiratory syndrome coronavirus exacerbates major risk factors for global human trafficking. Social isolation of families and severe economic dis...Read More
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
This research is the first study of its kind looking at the transport needs of survivors of modern slavery, who are supported through the UK’s National Referral Mechanism (NRM). It sought to provide concrete evidence of the situation regarding tra...Read More
Research and analysis conducted by Katarina Schwarz (University of Nottingham) and Jean Allain (Monash University). To assess the extent to which slavery and related forms of human exploitation have been prohibited in domestic law, this project ...Read More
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