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Collaborative Research: RTG: Building a robust mathematical foundation for AI and integrated data science at Auburn and Tuskegee University
NSF
About This Grant
Artificial intelligence (AI) and data science are revolutionizing the way complex systems are modeled, data is analyzed, and decisions are made across science, technology, and industry. There is a growing need to train researchers with a rigorous mathematical foundation to ensure that AI and data-driven methods are reliable, efficient, and adaptable to real-world challenges. This Research Training Group (RTG) project will train undergraduate students, graduate students, and postdoctoral researchers to conduct advanced research at the intersection of mathematics, AI, and data science. Through a structured program of interdisciplinary research, AI and Data Science summer school, seminars, and industry-partnered projects, participants will acquire the mathematical, computational, and analytical tools necessary to contribute to the future of AI and data science, both in theory and in practice. The project centers on three integrated research modules: (1) diffusion modeling for generative AI, (2) topological data analysis (TDA) for complex datasets, and (3) partial differential equation-based machine learning for anomaly detection. These modules pair fundamental mathematics with application areas including wireless communications, medical imaging, and cybersecurity. By rotating through all three modules, trainees will develop a comprehensive skill set on stochastic modeling, algebraic topology, inverse problems, and algorithmic implementation. The program emphasizes both conceptual understanding and hands-on experience through research, capstone projects, and collaboration with industry. Trainees of this project will be prepared to lead in the development and application of mathematically grounded methods in AI and data science. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Grant Summary
Collaborative Research: RTG: Building a robust mathematical foundation for AI and integrated data science at Auburn and Tuskegee University is a NSF grant providing up to $480K for university, nonprofit, small business. Applications are due 2030-08-31 (open). Check eligibility and apply with FindGrants.
Focus Areas
Eligibility
How to Apply
Up to $480K
2030-08-31
- 1Confirm your organization is eligible for Collaborative Research: RTG: Building a robust mathematical foundation for AI and integrated data science at Auburn and Tuskegee University from NSF, checking organization type, location, and any population or project requirements.
- 2Gather the required documents and information, including your organization details, project plan, and budget figures.
- 3Draft your application narrative and budget addressing the funder's priorities and review criteria. FindGrants can draft each section for you to review and edit.
- 4Review every section against the requirements checklist, then export a submission-ready application pack and submit it to NSF before the deadline.
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Collaborative Research: RTG: Building a robust mathematical foundation for AI and integrated data science at Auburn and Tuskegee University: Frequently Asked Questions
Who is eligible for the Collaborative Research: RTG: Building a robust mathematical foundation for AI and integrated data science at Auburn and Tuskegee University?
Collaborative Research: RTG: Building a robust mathematical foundation for AI and integrated data science at Auburn and Tuskegee University is offered by NSF and is generally open to university, nonprofit, small business. It is open to organizations nationwide unless the funder specifies otherwise. Review the specific eligibility terms before applying, since funders set their own requirements around organization type, location, and the population or project being served.
How much funding does the Collaborative Research: RTG: Building a robust mathematical foundation for AI and integrated data science at Auburn and Tuskegee University provide?
Collaborative Research: RTG: Building a robust mathematical foundation for AI and integrated data science at Auburn and Tuskegee University provides up to $480K per award from NSF. Actual award sizes depend on the scope of your project, available program funds, and the number of applicants, so build a budget that reflects realistic, allowable costs rather than the maximum figure.
When is the Collaborative Research: RTG: Building a robust mathematical foundation for AI and integrated data science at Auburn and Tuskegee University deadline?
Applications for Collaborative Research: RTG: Building a robust mathematical foundation for AI and integrated data science at Auburn and Tuskegee University are due 2030-08-31 (open). Because deadlines can change, verify the date with the funder, NSF, and give yourself enough time to prepare a complete, competitive application before the close date.
How do you apply for the Collaborative Research: RTG: Building a robust mathematical foundation for AI and integrated data science at Auburn and Tuskegee University?
To apply for Collaborative Research: RTG: Building a robust mathematical foundation for AI and integrated data science at Auburn and Tuskegee University, confirm your eligibility, gather the required documents, and prepare a narrative and budget that address the funder's priorities. FindGrants guides you step by step and can draft each section, then exports a submission-ready application pack for this grant from NSF.