Ethically Informed Algorithmic Matching and Refugee Resettlement

Forced Migration Review, Issue 73

5 Pages Posted: 30 May 2024

See all articles by Ahmed Ezzeldin Mohamed

Ahmed Ezzeldin Mohamed

Institute for Advanced Study in Toulouse (IAST), Toulouse School of Economics

Craig Damian Smith

York University - Centre for Refugee Studies

Date Written: May 30, 2024

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

Suggested Citation

Mohamed, Ahmed Ezzeldin and Smith, Craig Damian, Ethically Informed Algorithmic Matching and Refugee Resettlement (May 30, 2024). Forced Migration Review, Issue 73, Available at SSRN: https://ssrn.com/abstract=4848913 or http://dx.doi.org/10.2139/ssrn.4848913

Ahmed Ezzeldin Mohamed (Contact Author)

Institute for Advanced Study in Toulouse (IAST), Toulouse School of Economics ( email )

Toulouse, F-31042
France

Craig Damian Smith

York University - Centre for Refugee Studies ( email )

4700 Keele St.
York Lanes
Toronto, Ontario M3J 1P3
Canada

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