| 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. |
This report offers seven recommendations, such as developing incentives for businesses to thoroughly and continually monitor their supply chains for the use of child labour and forced labour, and to share best practices. It also recommends the Gover...Read More
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
Responsible business conduct by European companies plays a crucial role in ensuring that EU policies on human rights are effectively implemented, including with regard to labour. The EU is committed to promoting the implementation of responsible bus...Read More
Millions of people from the Philippines have migrated abroad for employment, seeking a better life and improved economic status for themselves and their families. Today, over 10 million Filipinos are estimated to live and work internationally, with ...Read More
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