Ethically Informed Algorithmic Matching and Refugee Resettlement

Ahmed Ezzeldin Mohamed and Craig Damian Smith
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Ahmed Ezzeldin Mohamed: Toulouse School of Economics

No y9r7w_v1, SocArXiv from Center for Open Science

Abstract: This article discusses real-world projects using algorithms to match resettled refugees with sponsors and services. It argues that ethically informed algorithmic matching can support larger-scale and better-informed resettlement while avoiding simplistic techno-sceptical or techno-optimistic framings. The article emphasizes the dual-use function of technology in international mobility and the importance of ethical design.

Date: 2026-06-11
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Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:y9r7w_v1

DOI: 10.31219/osf.io/y9r7w_v1

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