| 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. |
The German government has set a 2020 target for at least 50% of German companies with more than 500 employees to have introduced effective human rights protections. The current coalition Government has agreed to pass laws and push...Read More
This short paper is intended as a general overview of the development of different legislations and frameworks that apply in the area of finance and human rights, underlining key aspects. It comprises EU regulation (in force and upcoming), national ...Read More
Examining the effectiveness of remediation-oriented and due-diligence-oriented technologies in identifying and addressing forced labour and human trafficking. The global proliferation of mobile-phone-based technologies in countries producing good...Read More
Report on migrant garment workers in Japan’s state-supported Technical Internship Training Program (TITP) are subjected to widespread labour violations including poverty pay, debt bondage, enforced overtime, and inadequate and crowded living and w...Read More
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