| 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. |
According to the International Labour Organization (ILO), an estimated 21 million people are victims of forced labor around the world. As defined by the ILO, forced labor refers to “situations in which persons are coerced to work through the use o...Read More
The information and communications technology sector(ICT) is at high risk of forced labour. A significant number ofworkers in electronics supply chains are migrant workers who are particularly vulnerable to exploitation. The US Department of LabourÂ...Read More
In the present report, the Working Group on the issue of human rights and transnational corporations and other business enterprises takes stock of business and government action to advance the implementation of corporate human rights due diligence as...Read More
The report looks at Canada’s connection to the issues of human trafficking and forced and child labour, by cross-referencing recent data on Canadian imports with the U.S. Department of Labour’s List of Goods Produced by Child Labour or Forced Lab...Read More
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