Apprise: inclusive innovation for enhancing the agency of vulnerable populations in the context of anti-trafficking responses

Sassetti, Francisca; Thinyane, Hannah

doi:10.1080/2157930x.2020.1854249

Cited by 4 publications

(1 citation statement)

References 17 publications

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“…The app then reports any indications of vulnerability to the front-line responder. Its creators report that it has improved the identification of victims of human trafficking and forced labour, highlighted the full range of migrant workers' experiences, and provided microdata that can inform migration policy [59].…”

Section: Significance For Participatory Data Approachesmentioning

confidence: 99%

Beyond the Walls: Patterns of Child Labour, Forced Labour, and Exploitation in a New Domestic Workers Dataset

Trodd,

Waite,

Goulding

et al. 2024

Societies

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The new Domestic Workers Dataset is the largest single set of surveys (n = 11,759) of domestic workers to date. Our analysis of this dataset reveals features about the lives and work of this “hard-to-find” population in India—a country estimated to have the largest number of people living in forms of contemporary slavery (11 million). The data allow us to identify child labour, indicators of forced labour, and patterns of exploitation—including labour paid below the minimum wage—using bivariate analysis, factor analysis, and spatial analysis. The dataset also helps to advance our understanding of how to measure labour exploitation and modern slavery by showing the value of “found data” and participatory and citizen science approaches.

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Section: Significance For Participatory Data Approachesmentioning

confidence: 99%