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Utilizing NAIRR Pilot Resources for Building Sustainable Blue Economy

Collaborative Research - NAIRR Pilot Expansion

NAIRR Pilot Training AI-driven Blue Economy Research workflow and framework

Project Overview

The Gulf of America faces significant challenges for Blue Economy research, including environmental degradation from pollution and overfishing, as well as the impacts of natural disasters. These issues strain marine ecosystems and coastal communities, creating barriers to sustainability. Similarly, the mid-Atlantic region, such as Maryland, suffers from agriculture, urban runoff, and industrial activities that degrade water quality and significantly impact fish populations and the overall health of the fishery. Hawaii, meanwhile, encounters unique challenges due to its geographic isolation and heavy reliance on ocean resources.

This project aims to address these challenges by establishing coordinated efforts to improve Blue Economy research in these regions, enhancing funding for innovative research, and strengthening partnerships across sectors to build a Blue Economy research network. This project will bring together students, faculty, and researchers from U.S. institutions, along with participants from broad fields, including GIScience, oceanography, computer science, biology, and civil engineering. The goal is to promote AI education and workforce development in Blue Economy research.

Nowadays, AI has transformative potential to enhance blue economy research by providing advanced tools for data analysis, modeling, and decision-making. For instance, AI can analyze data from sensors, satellites, and autonomous underwater vehicles to monitor ocean conditions, predict weather patterns, and assess ecosystem health in real-time. Machine learning algorithms can optimize sustainable fishing practices by analyzing fish stock data, helping to prevent overfishing while supporting local economies.

Workshop & Training Opportunities

The workshop will offer training opportunities to help research communities effectively navigate NAIRR pilot resources, including learning how to access and use these resources for ocean and coastal sustainability analysis. All workshop and training materials will be made publicly available through a project GitHub repository and website, ensuring broad accessibility and ongoing learning opportunities.

Advancing Awareness

This project aims to advance methodologies in Blue Economy research by leveraging NAIRR Pilot resources to enhance AI computational capabilities. By integrating cyberinfrastructure-enabled AI approaches, the project supports the development of innovative AI tools that enable more effective analysis and decision-making across marine and coastal domains. The program will strengthen workforce development by offering targeted lectures, hands-on training sessions, and presentations at four partner institutions: Texas A&M University at College Station, Texas A&M University at Galveston, Morgan State University, and the University of Hawaii. These efforts will prepare the next generation of researchers and practitioners in applying AI to real-world Blue Economy challenges.

Advancing Training

Participants will receive hands-on AI training using NSF-funded NAIRR computing resources, including Jetstream2 at Indiana University and the Accelerating Computing for Emerging Sciences (ACES) system at Texas A&M University. Through guided exercises and real-world use cases, they will develop practical skills in applying AI tools and workflows. Leveraging these advanced computational platforms, participants will enhance their capabilities to innovate research methodologies and establish best practices within the Blue Economy domain.

The team will prepare a digital invitation letter and distribute it to the geoscience, marine, and maritime professional network mailing lists, as well as academic social media channels (e.g., Twitter/X and Facebook). Travel awards will be offered for workshop attendees to apply. In addition, the Hawaii team will leverage connections through the Hawaii Data Science Institute to broaden outreach and participation.

Meet the Team

Project leads, key team members, and collaborators

Zhe Zhang

Zhe Zhang

Principal Investigator

Associate Professor

Department of Geography

Texas A&M University

Director of Cyberinfrastructure and Spatial Decision Intelligence Research Group

Honggao Liu

Honggao Liu

Co-Principal Investigator

Executive Director

Texas A&M High Performance Research Computing

Zhuping Sheng

Zhuping Sheng

Co-Principal Investigator

Professor

Civil Engineering

Morgan State University

Sean B. Cleveland

Sean B. Cleveland

Co-Principal Investigator

Director of Research Cyberinfrastructure

University of Hawaii System

Chunlei Fan

Chunlei Fan

Co-Principal Investigator

Professor

Biology

Morgan State University

Debbie Thomas

Debbie Thomas

Team Member

Executive Associate Vice President for Academic Affairs and Chief Academic Officer (Texas A&M University at Galveston); Dean, College of Marine Sciences and Maritime Studies (Texas A&M University); Associate Provost (Texas A&M University); Professor

Texas A&M University

Jorge Brenner

Jorge Brenner

Team Member

Executive Director

Gulf of America Coastal Ocean Observing System (GCOOS)

Anthony Filippi

Anthony Filippi

Team Member

Associate Professor; Director of Graduate Programs

Department of Geography

Texas A&M University

More Information

Learn more about how the project can meet your needs by contacting our team directly at zhezhang@tamu.edu.

Funding

This work is supported by funding from the National Science Foundation Grant No. (#2526748, #2526749, #2526750).