| 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. |
Thailand has a long history of labour migration, initially as a country of origin, and more recently as a destination country. Today, Thailand is host to the largest number of migrant workers of all ASEAN member states, with approximately 2.8 millio...Read More
The research finds that most companies complied with the minimum requirements of modern slavery reporting, with clear groups of leaders and laggards within the ASX200. Perhaps unsurprisingly, given this is the first year of reporting, the majority o...Read More
This 2019 Annual Progress Report outlines Apple's efforts in 2018.
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
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