| 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. |
The data in this report represents signals and cases from January 1, 2019 through December 31, 2019 and is accurate as of July 30, 2020. Cases of trafficking may be ongoing or new information may revealed to the National Hotline over time. Consequen...Read More
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This report has been prepared by the International Labour Office pursuant to an agreement between the International Labour Organization (ILO) and the World Bank to carry out third-party monitoring on the incidence of child labour and forced labour i...Read More
There are over 40 million people in modern slavery worldwide. Modern slavery exists in every industry, in every country in the world. The financial services industry has a major role to play in combating this violent and abusive business. And yet th...Read More
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