CyberTraining: Broadening Adoption of Cyberinfrastructure and Geospatial Science Research and Workforce for Disaster Management

Keywords: CyberTraining, CyberGIS, Disaster Management, Spatial Data Science
Abstract Type: Paper Abstract

Abstract

Disasters are defined as prominent global issues which simultaneously pose a threat to multiple countries or regions around the globe. Disaster management is gradually empowered by increasing geospatial big data awareness and growing computing capabilities to produce spatial vulnerability and situational understanding for supporting timely decisions. This presentation shed light on high-performance geocomputational educational concepts that are important in understanding human-environment interactions in disaster management.
This project was funded by National Science Foundation CyberTraining program (award number #2321069). In this project, we formed an International CyberTraining for Disaster Management (CTDM) network among academic institutions, governmental agencies, hazards research centers, industry, and educational organizations to leverage the expertise of pertinent communities in developing training materials for preparing the next-generation workforce in geospatial and disaster science. A key approach is to introduce four interconnected training modules from basic to advanced learning levels: CI-Enabled Computing Module, Disaster Data Module, Geospatial Analytics Module, and Disaster Problem-Solving Module. This CyberTraining project will broaden access to CI for disaster research communities and help to enhance workforce development among diverse disciplines such as disaster science, GIScience, Engineering, and social science. The project will help disaster research communities broaden their CI-enabled disaster management and geospatial computing skills, thus improving decision-making capabilities for enhancing community resilience.