RT Journal Article
SR 00
A1 Mohamed, Ahmed Ezzeldin
A1 Craig Damian, Smith
T1 Ethically informed algorithmic matching and refugee resettlement
JF Forced Migration Review
YR 2024
FD 2024-05-30
IS n°73
SP 63
OP 67
K1 Refugees
K1 Resettlement
K1 Algorithms
K1 Ukraine
AB 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.
PB Refugee Studies Centre, Oxford Department of International Development, University of Oxford
SN 1460-9819
LK https://publications.ut-capitole.fr/id/eprint/50403/
UL http://iast.fr/pub/130303