| 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 report focuses on the social aspects of supply chains and examines how contracting authorities in the EU can use social criteria to improve labour conditions in countries where poor labour standards are rife. The report draws on experiences an...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
The COVID-19 pandemic has affected countries and people globally; it has also exacerbated existing disadvantages, poverty and vulnerabilities. The initial measures to contain the health crisis have not always considered those most vulnerable and aff...Read More
This 2019 Annual Progress Report outlines Apple's efforts in 2018.
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