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Natasha Glendening presents remote sensing research at AAG Meeting
Using machine learning to improve healthcare access in Ethiopia.
Natasha Glendening (Assistant Professor, Public Health) presented at the American Association of Geographers (AAG) Annual Meeting in San Francisco on March 18, 2026. Glendening participated in a session titled, “Symposium on GeoAI for Sustainable Cities and Health Research: GeoAI Innovations and Public Health.”
Her research, “Predicting human settlements in the Gambella Region of Ethiopia: A remote sensing and machine learning approach,” involved training a predictive model to identify settlements in an isolated area of Ethiopia. Glendening’s work leverages open-access data to help measure unmet need for healthcare in the region. She hopes that this work can also provide a replicable framework for estimating population presence in data-scarce and logistically challenging environments.