| 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. |
Using a unique data set based on factory audits of working conditions in over 800 of Nike's suppliers in 51 countries, this paper seeks to explore whether or not monitoring for compliance with corporate codes of conduct -- currently the principal wa...Read More
The Ethical Framework for Cross Border Labor Recruitment offers a set of specific operational practices (“Standards of Ethical Practice”) for recruitment firms that operate across borders. These practices are reinforced by a Verification and Cer...Read More
Every four seconds, someone is sold into modern slavery somewhere in the world. Every 60 seconds, the criminal industry that supports modern slavery makes more than US$285,000. These statistics, calculated from estimates by the International Labor O...Read More
Out of the shadows: Shining light on the response to child sexual abuse and exploitation, a 60-country benchmarking index, examines how countries are responding to the threat of sexual violence against children. It explores the environment in whic...Read More
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