| 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
The German government has set a 2020 target for at least 50% of German companies with more than 500 employees to have introduced effective human rights protections. The current coalition Government has agreed to pass laws and push...Read More
India remains a major hotspot for commercial sexual exploitation of children (CSEC), a crime that is becoming increasingly hidden. Prevalence data is challenging to obtain and estimates are speculative; several entities have sized the population of ...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
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