| 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, 2017 through December 31, 2017 and is accurate as of July 11, 2018. Cases of trafficking may be ongoing or new information may be revealed to the National Hotline over time. Conseq...Read More
ECPAT International is a global network of civil society organisations working together to end the sexual exploitation of children (SEC). ECPAT comprises member organisations in over 100 countries who generate knowledge, raise awareness, and advocat...Read More
The Rapid Assessment of Children in Child Labour in Honiara, Solomon Islands, was commissioned by the International Labour Organization (ILO) in response to concerns raised at the first National Child Labour and Trafficking Forum in Honiara in Augu...Read More
It is estimated that 13 million workers are employed in the formal forestry sector while another 41 million workers are employed in the informal forestry sector. Much of this work takes place in remote areas where there is a lack of regulatory overs...Read More
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