| 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 ICAT issue paper argues that access to remedies for trafficking victims should be a core component of efforts to address human trafficking, and provides illustrative examples of effective remedies and limitations that currently exist in differe...Read More
The rapid growth of digital technology has revolutionized our lives, transforming the way we connect and communicate. Internet access, mobile devices and social media are now ubiquitous, especially among children. Of the 4.5 billion people with acce...Read More
Corporations have increasingly turned to voluntary, multi-stakeholder governance programs to monitor workers’ rights and standards in global supply chains. This article argues that the emphasis of these programs varies significantly depending on s...Read More
This paper explores the question of what traceability systems mean for the labour situation of fish- workers; for whom and in what respects is traceability effective, and what impact do these systems have? The limited social criteria in fi...Read More
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