Project Grant 2611682
- Federal Project Grant Award Summary The University of Alabama received a $759,516 Project Grant from the National Science Foundation's STEM Education program (CFDA 47.076) on September 1, 2025, to implement the PRIMARY AI Scale-Up Project. This collaborative research initiative delivers AI (Artificial Intelligence) education curriculum and teacher professional development services to rural upper elementary students in grades 3-5 across Alabama, Indiana, and North Carolina. The project will reach...
- Federal Grant Award Summary The University of Alabama received a $901,611 Project Grant from the National Science Foundation's Division of Research on Learning in Formal and Informal Settings under the STEM Education program (CFDA 47.076) to develop and implement an artificial intelligence (AI) literacy initiative for rural upper elementary students (grades 4-6). The three-year project, initiated September 15, 2025 and concluding August 31, 2028, delivers two primary products: (1) AI-themed...
- Federal Grant Award Summary The University of Alabama received a $1.27 million Project Grant from the National Science Foundation (NSF) under the STEM Education program (CFDA 47.076), awarded on September 15, 2025, with a completion date of August 31, 2029. The Sensing for Data Science (SENSDS) project develops a web-based, interactive machine learning platform designed to introduce 260 secondary students and teachers in urban and rural Alabama high schools to data science concepts and...
- Federal Grant Award Summary The University of Alabama received a $942,836 Project Grant award from the National Science Foundation's Division of Undergraduate Education under the STEM Education program (CFDA 47.076), effective August 1, 2025 through July 31, 2030. This collaborative research initiative, titled "Transforming Computing Education Research Through Replication and Mentoring," will deliver coordinated multi-site replication studies designed to advance computing education...
- Federal Grant Award Summary The University of Alabama in Huntsville (UAH) received a $599,830 Project Grant from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective October 1, 2025 through September 30, 2028. This collaborative research initiative, titled "SHIELD: Enabling Multi-Modal Distributed Learning Over Aerial Networks," develops a novel federated learning framework that enables unmanned...
- Federal Project Grant Award Summary The University of Alabama received a $364,155 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems (CISE program, CFDA 47.070) awarded January 1, 2026, through December 31, 2028. The grant supports research on uncertainty-aware monitoring of autonomous cyber-physical systems, developing both offline and online safety analysis techniques that combine hybrid formal and non-formal modeling approaches. The research...
- Federal Grant Award Summary Award Details: The University of Alabama received a $600,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded October 1, 2025, with completion targeted for June 30, 2028. This renewal Research Experiences for Teachers (RET) Site at the University of South Alabama provides professional development and research training for 27 middle and high school educators in...
- Federal Project Grant Award Summary The University of Alabama received a $262,753 Project Grant awarded June 15, 2025, by the National Science Foundation's Division of Undergraduate Education under the STEM Education program (CFDA 47.076) to develop and implement TD-TUTOR (Technical Debt Tutor), an inquiry-based learning tool designed to enhance undergraduate computing education. The tool addresses the national priority of preparing students to understand and manage technical debt—the quality...
- This $400,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) aims to enhance Alabama A&M University's (AAMU) research capabilities, infrastructure, and educational offerings in artificial intelligence (AI) and autonomous robotic systems. Specifically, the grant will support AAMU's efforts to build upon its existing AI infrastructure to advance research in AI-enabled swarm robotics,...
- Federal Grant Award Summary The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded $599,981 to the University of Alabama beginning August 1, 2026, through July 31, 2031, to conduct research on scalable adaptive control methodologies for autonomous systems operating in dynamic and uncertain environments. The project develops advanced control architectures that integrate robust adaptive uncertainty compensation and constrained control techniques to ensure safe and...
The University of Alabama received a $327,717 Project Grant from the National Science Foundation's Division of Graduate Education under the STEM Education program (CFDA 47.076), awarded February 1, 2026, with completion targeted for May 31, 2026. The award supports curriculum development focused on artificial intelligence (AI) security threats to robotic systems. The project delivers seven self-contained, adaptive educational modules addressing critical gaps in cybersecurity preparedness for robotics and AI systems, covering topics including attack surfaces and penetration testing, input sensor vulnerabilities, training and inference attacks, actuator security, and the ethical dimensions of AI and robotics integration. The curriculum development initiative directly serves more than 500 junior and senior-level students at Mississippi State University majoring in robotics, AI, and security-related fields, while enabling broader national impact through faculty adoption at other institutions. This project addresses a significant workforce development need by cultivating a diverse, globally competitive STEM workforce capable of defending increasingly pervasive robotic systems that work in close proximity to humans, thereby enhancing public scientific literacy and preparedness in the rapidly advancing fields of cybersecurity, robotics, and artificial intelligence.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $327.7k | 2/25/26 |