| 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. |
Inequality is rampant across the global economy, and the agro-food sector is no exception. At the top, big supermarkets and other corporate food giants dominate global food markets, allowing them to squeeze value from vast supply chains that span the...Read More
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
Article 3(a) of the United Nations Protocol to Prevent, Suppress and Punish Trafficking in Persons, Especially Women and Children, supplementing the United Nations Convention against Transnational Organized Crime (Trafficking in Persons Protocol) de...Read More
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
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