| 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 report provides an analysis of the data collected, maps specific migration corridors in which organizations have encountered a high number of cases of exploitation, and analyses ways in which the data can be used to build influence and cooperat...Read More
This working paper, based on participatory research carried out with cleaners in the UK, highlights key workplace issues in the cleaning sector, and the risk and resilience factors that impact cleaners’ vulnerability to labour abuse and exploitati...Read More
Tens of thousands of garment workers in Cambodia will struggle to repay microfinance debts during work stoppages and factory suspensions caused by COVID-19, creating a mounting human rights crisis as they struggle to feed their families and hold ont...Read More
Migration is not a new phenomenon in India. People have moved across the length and breadth of the country for various reasons, including work. Today, India has a burgeoning urban population, which contributes to about 63% of India’s GDP. A large ...Read More
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