| 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
The UK-wide Modern Slavery Helpline and Resource Centre was established in October 2016 to provide victims, the public, statutory agencies and businesses with access to information and support on a 24/7 basis. Operated by Unseen, in its first full...Read More
Abstract Through an empirical study, this article explores the overall profile of female traffickers of children in China and their role and performance in the trafficking processes. Its contribution to the human trafficking literature lies in i...Read More
The study aims at understanding some of the disaster-related issues and location-specific, local dynamics that impact on the communities, village households, householder livelihoods and daily survival difficulties, which directly affects the well-...Read More
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