| 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. |
This briefing examines the impact of the Coronavirus pandemic on the risk of labour exploitation in low-paid and insecure employment in the UK. Drawing on interviews with workers and frontline services, it proposes emergency measures to ensure all w...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
Each year, thousands of refugees and migrants are subjected to horrific abuse as they move along different routes within the Sahel and East Africa, and towards North Africa and sometimes on to Europe.3 This includes being subjected to repeated gende...Read More
This Regional Overview on the sexual exploitation of children (SEC) in the Middle East and North Africa (MENA), consolidates the relevant existing data to map the context, risk factors, region-specific issues, responses and gaps in the fight against...Read More
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