GeoAI for Health and Resilience

GeoAI for Health and Resilience applies spatial analytics and simulation to public health, disasters, climate stress, and unequal access to critical resources.

Overview

This research studies how hazards and interventions interact with population distribution, mobility, accessibility, and social vulnerability. Projects integrate geospatial data, mobility simulation, visual analytics, and machine learning to identify disparities, compare scenarios, and communicate results to interdisciplinary collaborators.

Research Questions

• How do hazards change mobility and access for different communities?
• Where do capacity constraints create gaps in shelters, health services, or transportation?
• How can uncertainty and social vulnerability be represented in decision-support tools?

Methods

• GeoAI and spatial statistical modeling
• Accessibility and network analysis
• Mobility simulation under hazards
• Open-source geovisual analytics

Applications

• Wildfire evacuation and shelter accessibility
• Heat exposure and climate adaptation
• HIV prevention and healthcare access
• Neighborhood-scale disaster resilience

Selected Outputs

• Vulnerable Neighborhood Explorer
• Wildfire stress, degradation, and susceptibility mapping
• Spatial analysis of shelter and PrEP accessibility