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Sassetti, Francisca, Mera, Silvia and Thinyane, Hannah (2019). Apprise Audit Impact Assessment: Detecting labour exploitation in supply chains. United Nations University.
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850 |
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Sassetti, Francisca and Thinyane, Hannah, (2021). Apprise: inclusive innovation for enhancing the agency of vulnerable populations in the context of anti-trafficking responses. Innovation and Development, n/a-n/a
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599 |
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Thinyane, Hannah and Sassetti, Francisca, "Apprise: Sentinel Surveillance of Labor Exploitation and Its Potential Impact on Migration Policy" in Regional Integration and Migration Governance in the Global South ed. Rayp, Glenn, Ruyssen, Ilse and Marchand, Katrin (Cham, Switzerland: Springer Nature Switzerland AG, 2020), 239-259.
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1004 |
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Thinyane, Hannah and Sassetti, Francisca (2019). Apprise: Using sentinel surveillance for human trafficking and labor exploitation. UNU-CS Policy Briefs. United Nations University Institute on Computing and Society.
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2026 |
859 |
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Thinyane, Hannah and Sassetti, Francisca, "Digital Technology for Unmasking Labour Exploitation in Supply Chains" in The Future of Digital Work: The Challenge of Inequality ed. R.K. Bandi, C. R. R., S. Klein, S. Madon and E. Monteiro (Cham: Springer, 2020), 267-280.
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630 |
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Sassetti, Francisca and Thinyane, Hannah (2019). Empowering Sex Workers in Exploitative Situations. United Nations University.
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758 |
1237 |
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Sassetti, Francisca and Thinyane, Hannah (2019). Supporting workers to speak up: Exposing labour exploitation in supply chains. United Nations University.
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619 |
207 |
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Thinyane, Hannah and Sassetti, Francisca, "Towards a Human Rights-Based Approach to AI: Case Study of Apprise" IDIA 2020, Macau, 2020/03/25-27.
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841 |
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Thinyane, Hannah, Sassetti, Francisca and Mera, Silvia (2019). Unmasking Labor Exploitation Across Supply Chains. United Nations University Institute on Computing and Society.
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1038 |
524 |
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Thinyane, Hannah, Sassetti, Francisca, Junio, Don Rodney, Michael Gallo and Mera, Silvia (2020). Use of New Technologies for Consistent and Proactive Screening of Vulnerable Populations. United Nations University.
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732 |
438 |
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