| 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-depth research carried out by Verité has found that Latin American countries export staggering amounts of illegally mined gold, which is tied to human trafficking, as well as legal and reputational risk for major companies with gold in their su...Read More
The UK Modern Slavery Act came into force in 2015. The insight gives an overview of the Act, focusing on the impact on supply chains and the role of procurement and actions required to support the organizations. The document also makes reference to o...Read More
The People’s Republic of China (PRC) government continues to carry out genocide and crimes against humanity against Uyghurs and members of other ethnic and religious minority groups in the Xinjiang Uyghur Autonomous Region (Xinjiang), China The PR...Read More
Findings from a series of learning papers previously developed by USAID Asia CTIP in 20211, showed that openly communicating, sharing and learning among CSOs and donors is key to ensuring that iterative programming takes place. This is vital to ensu...Read More
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