| 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 July 2018, the Walk Free Foundation released the latest Global Slavery Index (GSI), which presents estimates for the number of victims of modern slavery in 167 countries. Using data from the Gallup World Poll’s module on modern slavery, which w...Read More
Analysis shows only a handful of company statements are meeting the Act’s requirements, majority lack adequate information. The FTSE 100 companies who have reported under the Modern Slavery Act so far were scored by the Business & Human Righ...Read More
On November 15, 2000, the United Nations adopted the Protocol to Prevent, Suppress and Punish Trafficking in Persons, Especially Women and Children (Palermo Protocol). Twenty years later, with 178 state parties, the Palermo Protocol has reached almo...Read More
This report examines how states and localities across the country—both red and blue, with and without a long history of labour-protection regimes—are developing innovative strategies to enforce labour standards, and to do so more strategically. M...Read More
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