| 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 is one of a series of case studies to supplement the global campaign report, Ripe for Change, drawing attention to the plight of specific groups of small-scale farmers and workers in international food value chains and/or promoting successful a...Read More
Examining the effectiveness of remediation-oriented and due-diligence-oriented technologies in identifying and addressing forced labour and human trafficking. The global proliferation of mobile-phone-based technologies in countries producing good...Read More
The report, the ninth in International Organization for Migration's (IOM) World Migration Report (WMR) series and the first since IOM became the UN Migration Agency, presents current migration issues in a two-part structure. It combines an overarchi...Read More
This Issue Paper examines the concept of ‘harbouring’ in the United Nations Protocol to Prevent, Suppress and Punish Trafficking in Persons, Especially Women and Children, supplementing the United Nations Convention against Transnational Organiz...Read More
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