| 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 People’s Republic of China (PRC) has instituted an unprecedented system of state-sponsored forced la- bor for Uyghur, Kazakh, Kyrgyz, and other minoritized citizens in the Xinjiang Uyghur Autonomous Region (or XUAR or Uyghur Region, also known...Read More
Kathmandu’s adult entertainment sector (AES) is made up of a complex web of venues that includes massage parlours, dance bars, cabin restaurants and guest houses. These workplaces employ young women and girls as waitresses and dancers who entertain...Read More
The objective of the IPEC+ Global Flagship Programme – in line with target 8.7 of the 2030 Sustainable Development Agenda, adopted by the United Nations in 2015 – is to provide ILO leadership in global efforts to eradicate all forms of child la...Read More
The globalisation of supply chains, facilitated by technologicaldevelopments and spurred by firm’s attempts to maximise profitsthrough lower labour costs, shorter lead times and weaker labourprotections in developing countries, has contributed to ...Read More
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