Social Impact Scientist

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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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UN Handbook on Remote Sensing for Agricultural Statistics

A new Handbook on Remote Sensing for Agricultural Statistics has been released by the United Nations Food and Agriculture Organization. With contributions from NASA Harvest, this Handbook sets standards for how satellite-derived agricultural data and insights should be produced and documented, alongside the tools used to generate it.

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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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Why Data Studios?

The Data Studios are a different way of organizing geospatial and remote sensing resources. Instead of starting with a dataset and asking people to figure out what to do with it, we start with the real-world questions and work backwards from the use case.

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Lifelines at Agu 2025

NASA Lifelines Fellows Barira Rashid, Aryanna Khan, and Rufai Balogun represented the program at AGU 2025 in New Orleans, demonstrating how Earth science, GeoAI, and community-centered approaches can strengthen humanitarian decision-making