# Collaborative Research: CyberTraining Implementation Medium: Broadening Adoption of Cyberinfrastructure and Geospatial Artificial Intelligence for Disaster Management

> **NSF 01002526DB NSF RESEARCH & RELATED ACTIVIT** · Texas A&M University (TX) · $773,090

## Abstract

The primary goal of this project is to establish a CyberTraining Network for Geospatial Artificial Intelligence (GeoAI) in Disaster Management. Through the proposed CyberTraining activities, the project will enable disaster management students, researchers, and professionals, to strengthen their capabilities in cyberinfrastructure and GeoAI. By broadening access to GeoAI and cyberinfrastructure, the project will support research workforce development across various disciplines, including disaster science, geosciences, transportation, and engineering. The team will collaborate with academia, industry, non-profit organizations, and government agencies to provide open access to disaster-related data, training materials, and cyberinfrastructure resources. To ensure scalability and sustainability, the project will be supported by core partner organizations and integrated with National Science Foundation funded cyberinfrastructure, disaster data providers, professional societies, and industry stakeholders. Students and educators will be actively engaged through a participant award program, expanding educational and career development opportunities. Furthermore, this project will enable disaster researchers to advance their use of cyberinfrastructure and GeoAI in disaster management, enhance computational skills, and improve data-driven decision-making for increased disaster resilience. The project is designed to significantly improve the well-being of populations affected by natura

## Key facts

- **NSF award ID:** 2519476
- **Awardee organization:** Texas A&M University (TX)
- **SAM.gov UEI:** JF6XLNB4CDJ5
- **PI:** Zhe Zhang
- **Primary program:** 01002526DB NSF RESEARCH & RELATED ACTIVIT
- **All programs:** Artificial Intelligence (AI), CI Training and Professionals
- **Estimated total:** $773,090
- **Funds obligated:** $773,090
- **Transaction type:** Standard Grant
- **Period:** 09/01/2025 → 08/31/2029

## Primary source

NSF Award Search: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2519476

## Citation

> US National Science Foundation, Award 2519476, Collaborative Research: CyberTraining Implementation Medium: Broadening Adoption of Cyberinfrastructure and Geospatial Artificial Intelligence for Disaster Management. Retrieved via AI Analytics 2026-06-06 from https://api.ai-analytics.org/grant/nsf/2519476. Licensed CC0.

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