In the upcoming AAG 2024 Annual Meeting, I am excited to present my work on the Customized Resilience Inference Measurement (CRIM) framework from the GEAR Lab. My research, "Enhancing Disaster Resilience in the Cyberinfrastructure Era: CyberGIS for Customizable Resilience Measurement and Improvement" is poised to improve how we understand and manage disaster resilience. CRIM is all about making disaster resilience analysis more adaptable and accessible. It's designed for different disasters at various spatial and temporal spread, and it's especially user-friendly for all domain experts and not just technical specialists.
The investigation aims to:
Develop the Customized Resilience Inference Measurement (CRIM) framework, an empirically validated model for multi-scale community resilience assessment and identifying key socio-economic factors.
Implement a high-performance computing-backed CyberGIS module, integrated with CyberGIS-Compute service, for customizable disaster resilience computation and visualization.
Demonstrate the effectiveness of the CyberGIS-empowered CRIM framework by assessing county-level community resilience to all types of natural hazards in the contiguous United States.
I'm proud to share that this research has earned me the Jeanne X. Kasperson Award from the AAG Hazards, Risk, and Disasters Specialty Group. I look forward to presenting at AAG 2024 and sharing how CRIM can help us better prepare for and respond to natural disasters.