| 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. |
There is no systematic use of child labour in the cotton harvest in Uzbekistan and significant measures to end forced labour are being implemented. The annual cotton harvest in Uzbekistan is a unique large-scale effort. In 2017, an estimated 2.6 mil...Read More
Edited by Joel Quirk and Julia O’Connell Davidson. This is the first volume of the series Beyond Trafficking and Slavery Short Course. Much of what people think they know about human trafficking and ‘modern-day slavery’ is inaccurate, ...Read More
This report highlights the critical role the Consumer Goods Forum (CGF) can play in mitigating forced labour risks in the production of palm oil by leveraging its industry leadership to spur the collective action of its members. There is strong int...Read More
The Responsible Mining Index (RMI) supports the principle that minerals and metals mining should benefit the economies, improve the lives of people and respect the environments of producing countries, while also benefiting mining companies in a fair ...Read More
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