| 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. |
This report considers how effectively the Action Plan to Tackle Trafficking in Persons and to Enhance Protection of Foreign Domestic Helpers in Hong Kong (the Action Plan) 1 has been implemented and, specifically, whether it has helped trafficked pe...Read More
An article by Garrett Brown MPH, CIH Corporate social responsibility (CSR) programs began in the early 1990s with the promise of eliminating dangerous and illegal “sweatshops” in the global supply chains of world-renown corporations selling ...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
BankTrack’s Human Rights Benchmark evaluates 50 of the largest private sector commercial banks globally against a set of 14 criteria based on the requirements of the UN Guiding Principles on Business and Human Rights(‘the Guiding Principles’)....Read More
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