Humanitarian Decision-Maker

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Leveraging AI to Enhance Multi-Hazard Early Warning Systems

This ITU report examines how AI is strengthening each stage of the early warning cycle, from risk knowledge to preparedness, through five real world deployments including Tonga, Liberia, and Colombia. It pairs well with NASA Lifelines' own GeoAI for Humanitarian Action report, which explores the same trust and adoption barriers across the full crisis lifecycle.

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Disasters, Statistics, and the Humanitarian Sector

This report from Hamish William Patten and NASA Lifelines Advisor Zineg Bhaby unpacks the critical function that statistics can serve in natural disaster response. Their recently published report lays out statistical methods as a foundation for humanitarian analysis and identifies the gaps where future applications can improve preparation for and response to disasters.

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The State of Open Humanitarian Data 2026

The State of Open Humanitarian Data 2026 from OCHA assesses data availability across humanitarian crises using the HDX Data Grids framework. The report details what open data exists by location and category, helping practitioners and decision makers identify gaps in the information landscape for crisis response.

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GeoAI for Humanitarian Action

The GeoAI for Humanitarian Action report explores how artificial intelligence and satellite data can strengthen humanitarian decision-making, while identifying the practical barriers that limit adoption. Drawing on community insights, it outlines strategies to build partnerships, tools, and programs that help humanitarian organizations translate GeoAI innovations into real-world impact.

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UN-SPIDER Knowledge Portal

The UN-SPIDER Knowledge Portal is an online international hub providing organizations with space-based information to support all aspects of disaster management. The focus on full cycle disaster support connects humanitarians with the space community.