| 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. |
With the global refugee crisis showing no signs of abating, multinational companies need to consider how their supply chain interacts with refugees, who are often more vulnerable to forced labor when they seek out work in a new country. Combating F...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
This publication provides an overview of the legal and policy framework in place for the protection of trafficking victims in five countries in Southeast Asia (Cambodia, Indonesia, Lao PDR, Thailand, and Viet Nam), outlining the various instruments,...Read More
This paper has been produced in an effort to move beyond an oversimplified view of the problem and propose a comprehensive and multi-pronged, preventive strategy aimed at disabling predators and deflating demand. More specifically, the document is i...Read More
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