| 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 presents findings from two case studies conducted in Burma as part of a larger exploratory research project undertaken by Verité in 2018-2019, with the aim of examining the linkages between environmental degradation and vulnerability to...Read More
The global Covid-19 pandemic has had a devastating impact on global garment supply chains, and the situation will get far worse before it gets better. As clothing outlets have been shut by lockdowns in developed market economies, sinking demand for ...Read More
Labour migration may benefit employers and workers, and across the world recruitment agencies play an important role in matching migrant workers with available jobs. However, while the cost of recruitment of higher skilled migrant workers tends to b...Read More
Based on the theme of partnership, this year’s report examines the ways in which governments and other stakeholders have collaborated to advance anti-trafficking priorities and goals, and emphasizes the importance of including a breadth of groups ...Read More
2025 © Copyright, RESPECT International. All Rights Reserved. Website Disclaimer | Privacy Policy
