AI-Driven Disaster Response and Displacement Monitoring

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

AI-Driven Disaster Response and Displacement Monitoring: 3 upvotes on Hugging Face Daily Papers, #60 of 65 papers on 2026-10-19. Day-by-day upvote history.

ARTIFICIAL INTELLIGENCE (AI) has demonstrated its potential across a wide range of humanitarian tasks, offering scalable and data-driven solutions to some of the world's most pressing challenges. For instance, in addressing climate change, AI-powered models are being used for faster and more accurate global weather forecasting, control and design of renewable energy, and monitoring deforestation. Machine learning algorithms analyze satellite imagery and socioeconomic data to predict poverty and promote sustainable development. AI has also transformed disaster response and conflict monitoring, providing innovative solutions for assessing damage and urgent needs and tracking displacement.

Paper page on Hugging Face · arXiv

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