Ethically informed algorithmic matching and refugee resettlement

Ahmed Ezzeldin Mohamed and Smith Craig Damian
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Ahmed Ezzeldin Mohamed: TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
Smith Craig Damian: University of York [York, UK]

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Abstract: This article discusses real-world projects using algorithms to match resettled refugees with sponsors and services. The authors argue that when done right, algorithms can support larger-scale and better-informed resettlement. Ethically informed algorithmic matching and refugee resettlement Techno-scepticism and techno-optimism Research and advocacy around data and tech to manage international mobility can be divided into techno-sceptical and techno-optimistic camps. While the dichotomy is admittedly a broad heuristic, these parallel research tracks draw attention to the inherently dual-use function of any technology.

Keywords: Refugees; Resettlement; Algorithms; Ukraine (search for similar items in EconPapers)
Date: 2024-05-30
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Published in Forced Migration Review, 2024, 73, pp.63-67. ⟨10.2139/ssrn.4848913⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04938638

DOI: 10.2139/ssrn.4848913

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