| 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. |
Businesses with potential exposure in their supply chain to the Xinjiang Uyghur Autonomous Region (Xinjiang) or to facilities outside Xinjiang that use labor or goods from Xinjiang should be aware of the reputational, economic, and legal risks of in...Read More
On October 28th, 2019, the OECD launched new guidance on Due Diligence for Responsible Corporate Lending and Securities Underwriting (hereinafter “the guidance”). The guidance is based and elaborates on the OECD Guidelines for Multinational Ente...Read More
This working paper, based on participatory research carried out with cleaners in the UK, highlights key workplace issues in the cleaning sector, and the risk and resilience factors that impact cleaners’ vulnerability to labour abuse and exploitati...Read More
The International Labour Organization estimates that illicit profits from modern slavery reach $150 billion a year. In 2016, 16 million people were victims of forced labour in the private economy. Companies are exposed to modern slavery risks through...Read More
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