Developing AI predictive migration tools to enhance humanitarian support: The case of EUMigraTool

Autor: Cristina Blasi Casagran, Georgios Stavropoulos
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Data & Policy, Vol 6 (2024)
Druh dokumentu: article
ISSN: 2632-3249
DOI: 10.1017/dap.2024.76
Popis: The EUMigraTool (EMT) provides short-term and mid-term predictions of asylum seekers arriving in the European Union, drawing on multiple sources of public information and with a focus on human rights. After 3 years of development, it has been tested in real environments by 17 NGOs working with migrants in Spain, Italy, and Greece.
Databáze: Directory of Open Access Journals