Project Grant 2551964
- This $150,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to North Carolina Agricultural and Technical State University aims to train a diverse research workforce to develop and use fair, ethical, and unbiased AI-based cybersecurity solutions for cloud computing infrastructure. The project will develop and integrate seven advanced experiential learning modules, referred to as AI4SecureCI, into...
- The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $299,905 Project Grant to Loyola University of Chicago to develop and evaluate a comprehensive 12-workshop experiential training program to raise awareness among AI practitioners of the cybersecurity and privacy risks associated with building AI-based systems. The project aims to provide knowledge and skills needed to build AI systems that are secure, ethical, and privacy-preserving. The workshop...
- This Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) provides $200,000 to Norfolk State University to expand the university's research, curriculum, and training capabilities at the nexus of artificial intelligence (AI) and cybersecurity. The key components of the project, titled "AI-SECURE," include: Developing five new AI courses, a machine learning/AI minor, and six experiential learning modules to infuse responsible AI principles...
- The National Science Foundation (NSF) awarded a $179,883 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Washington Tacoma and North Dakota State University. The grant aims to develop tailored curriculum modules and scalable pathways to provide cybersecurity and privacy education to criminal justice professionals across the country. The project will create three progressive courses starting with foundational cybersecurity and privacy...
- This federal Project Grant award for $300,000, provided by the National Science Foundation (NSF) through the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will support the "AI Horizon: Forecasting Cybersecurity Workforce Evolution and Adaptive Skill Development" initiative. This initiative aims to develop a data-driven forecasting framework to predict how AI will transform cybersecurity tasks, enabling educators to rapidly adapt curricula. The project...
- Arizona State University received a $300,000 project grant award from the National Science Foundation on May 1, 2021 to develop artificial intelligence tools and resources for cybersecurity education. The funding supports the EAGER: SATC-EDU project to create a machine learning-enabled security knowledge graph for integrating AI into cybersecurity curriculum from April 30, 2023. The grant falls under the National Science Foundation's STEM Education program (CFDA 47.076), which aims to strengthen...
- The National Science Foundation (NSF) awarded a $300,000 Project Grant under the CFDA Program 47.070 - Computer and Information Science and Engineering. The grant was awarded on October 1, 2023 to the University of Tennessee, Knoxville to develop new curricular modules and hands-on exercises for computer science students and the software development workforce. The goal is to enhance their secure coding practices when using AI-powered coding assistant tools, such as ChatGPT and GitHub Copilot,...
- Federal Project Grant Award Summary The University of Missouri-Kansas City received a $200,000 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations (CFDA 47.070 – Computer and Information Science and Engineering) awarded October 1, 2026, with completion targeted for September 30, 2029. This collaborative research initiative will develop and deliver a curriculum-based undergraduate research experience program focused on artificial intelligence...
- The National Science Foundation (NSF) awarded a $120,036 Project Grant under the Computer and Information Science and Engineering (CISE) program to North Dakota State University (NDSU) and the University of Washington Tacoma. The purpose of this 2-year collaborative research project is to develop tailored curriculum modules and scalable pathways to provide comprehensive cybersecurity and privacy education for criminal justice professionals across the United States. The goal is to equip these...
- The National Science Foundation (NSF) awarded a $127,000 Project Grant under the STEM Education program (CFDA 47.076) to the New Jersey Institute of Technology (NJIT) to develop comprehensive educational modules focused on the security of machine learning (ML) models in artificial intelligence (AI) systems. The project aims to create a practice-in-the-loop learning experience for students to understand the security vulnerabilities and solutions for ML in computer vision, speech recognition,...
The National Science Foundation (NSF) awarded the University of Hawai'i at Mānoa a $214,246 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) on October 1, 2026, for a collaborative research initiative focused on enhancing undergraduate computing education through curriculum-integrated artificial intelligence security and privacy research experiences. The project runs through September 30, 2029, and will develop flexible educational modules—including labs, tutorials, assignments, and research activities—across computer vision, speech and audio, and network systems that address vulnerabilities throughout the AI lifecycle. These instructional materials will be designed for seamless integration into existing undergraduate computing courses across partner institutions and aligned with the National Initiative for Cybersecurity Education (NICE) Cybersecurity Workforce Framework to ensure students develop career-relevant competencies in cybersecurity and AI risk management. In addition to curriculum development, the project will conduct pedagogical research on educational approaches that embed research into coursework, including project-based and competition-based learning models, and evaluate their effects on student learning outcomes, professional skill development, and career readiness. By creating reusable, institutionally transferable learning modules and assessing evidence-based teaching strategies, the initiative aims to build a workforce capable of advancing AI innovation while safeguarding its deployment through secure, reliable, and responsible practices.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $0 | 7/15/26 | ||
| Not listed | $214.2k | 6/2/26 |