TY  - JOUR
CY  - Oxford
ID  - publications50403
UR  - http://iast.fr/pub/130303
IS  - n°73
A1  - Mohamed, Ahmed Ezzeldin
A1  - Craig Damian, Smith
N2  - 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.
TI  - Ethically informed algorithmic matching and refugee resettlement
AV  - none
EP  - 67
Y1  - 2024/05/30/
PB  - Refugee Studies Centre, Oxford Department of International Development, University of Oxford
JF  - Forced Migration Review
KW  - Refugees
KW  - Resettlement
KW  - Algorithms
KW  - Ukraine
SN  - 1460-9819
SP  - 63
ER  -