| 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, 2018 through December 31, 2018 and is accurate as of July 25, 2019. Cases of trafficking may be ongoing or new information may revealed to the National Hotline over time. Consequen...Read More
Human trafficking is the crime of using force or fraud for the purpose of compelled labor or a commercial sex act. The United States considers “trafficking in persons,” “human trafficking,” and “modern slavery” to be interchangeable umbr...Read More
The declaration encourage OSCE participating States to work with the business sector to apply principles of due diligence and transparency in assessing and addressing risks of exploitation throughout supply chains and ensuring that workers have acces...Read More
Trafficking in human beings is a serious crime and a grave violation of fundamental rights. Combatting it is a priority for the European Union1. Article 20 of Directive 2011/36/EU2 foresees a two-yearly report on the progress made in the fight ...Read More
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