Using GIS and AI to anticipate disruption, coordinate response and accelerate recovery.

Event Summary
During emergencies, Public Works organizations become central to protecting communities and restoring essential services. Roads must be cleared, debris removed, facilities inspected, infrastructure damage assessed and crews deployed — often while conditions continue to change.
The final event explores how GIS, real-time information, remote sensing, field reporting, predictive modeling and AI can strengthen emergency preparedness, response and recovery.
Applications span severe weather, flooding, wildfire, earthquakes, extreme heat and infrastructure failure — including risk forecasting, resource allocation, damage detection, evacuation support, road closures, debris management, public notification and post-event recovery.
Key Takeaways
How to connect Public Works data with emergency management and public safety.
How predictive analytics can support preparedness and mitigation.
How imagery and AI can accelerate damage assessment.
How to maintain a common operating picture during an incident.
How to prioritize crews, equipment and vulnerable infrastructure.
How to communicate location-specific information to affected residents.
How information collected during response can support reimbursement, recovery and future resilience planning.
Resource Guide
Prepare the data, roles and workflows that let Public Works anticipate disruption, coordinate response and speed recovery.
Metrics to track
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