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AI-Driven Disaster Response and Displacement Monitoring

Year: 2025

Type: article

Abstract: Two projects from the Arab world exemplify the potential of AI-driven approaches for disaster response and displacement monitoring.

Source: Communications of the ACM

DOI: 10.1145/3737449

Authors: Noora Al-Emadi, Muhammad Imran, Yin Yang, Ingmar Weber, Fabjan Lashi, Gaia Rigodanza, Ivana Hajžmanová, Ferda Ofli

Institutions: Hamad bin Khalifa University, Saarland University, United Nations Development Programme, Internal Displacement Monitoring Centre

Language: English

Topic: Energy and Environmental Systems

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDGs: Partnerships for the goals, Industry, innovation and infrastructure

Open Access status: hybrid

Funder: Qatar National Research Fund

Award: G383343636

OpenAlex ID: W4414342269

FWCI:

Cites: 12

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