| 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. |
In recent years, research and dialogue about best practices for incorporating survivor input into anti-trafficking programming and policies have come to the forefront of work to end human trafficking. Historically, the infrastructure of addressing a...Read More
The Nationality and Borders Bill follows almost to the letter the Government’s New Plan for Immigration Policy Statement, issued on 24 March 2021, in some cases adding further restrictions on the right to claim asylum and on the rights of refugees...Read More
The war in Ukraine has caused a high level of forced displacement of the civil population in Europe, with a significant impact on neighboring countries in particular. Since February 24, 2022, until now, the Republic of Moldova (RM) borders have been...Read More
This report documents how child tobacco workers are exposed to nicotine, handle toxic chemicals, use sharp tools, lift heavy loads, and work in extreme heat. Their work could have lasting consequences for their health and development. It also discus...Read More
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