| 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
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
The present report outlines the main activities undertaken by the Special Rapporteur on the human rights of migrants, Felipe González Morales, during the reporting period since his most recent report to the General Assembly. In the report, the ...Read More
This document aims to explain and provide details about the trafficking situation in Vietnam and provide insight into the general profile of traffickers and the crime of human trafficking. While the data source is limited, it provides some insight a...Read More
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