| 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, 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
This report documents how child tobacco workers are exposed to nicotine, handle toxic chemicals, use sharp tools, lift heavy loads, and work in extreme heat. Their work could have lasting consequences for their health and development. It also discus...Read More
The Royal Thai Government’s Social Security Office (SSO) has closely coordinated with employers throughout Thailand to survey and register sites and workers for COVID-19 vaccines. There are plans to offer AstraZeneca or Sinovac vaccines to migrant...Read More
Author: Marika McAdam Sheltering victims of trafficking require a complex balance to be achieved between the rights of victims (including to freedom of movement and liberty), and the sometimes competing interests of other stakeholders. This Study...Read More
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