relation: https://publications.ut-capitole.fr/id/eprint/50403/
title: Ethically informed algorithmic matching and refugee resettlement
creator: Mohamed, Ahmed Ezzeldin
creator: Craig Damian, Smith
subject: B- ECONOMIE ET FINANCE
description: 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.
publisher: Refugee Studies Centre, Oxford Department of International Development, University of Oxford
date: 2024-05-30
type: Article
type: PeerReviewed
identifier:   Mohamed, Ahmed Ezzeldin <https://www.idref.fr/283084375> and Craig Damian, Smith  (2024) Ethically informed algorithmic matching and refugee resettlement.    Forced Migration Review (n°73).  pp. 63-67.       
relation: http://iast.fr/pub/130303
language: en