Project Grant 2244219
- 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,...
- This $127,000 Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) will support the development of a comprehensive educational program at Rutgers, The State University to address security vulnerabilities in artificial intelligence (AI) and machine learning (ML) systems. The key products and services to be delivered under this 3-year award include: Creating a practice-in-the-loop learning experience for students to understand the security of ML models in...
- This National Science Foundation (NSF) STEM Education (CFDA 47.076) project grant award of $146,000.00 to Temple University aims to develop comprehensive educational modules and software-based labs to prepare students and future engineers to address machine learning (ML) security vulnerabilities and achieve trustworthy artificial intelligence (AI) systems. The project will create practice-in-the-loop learning experiences for students to understand the security of ML in computer vision, speech...
- This is a $200,000 Project Grant awarded by the National Science Foundation's (NSF) STEM Education (CFDA 47.076) program. The grant will fund a collaborative research project titled "The AI Voyage: Integrating AI Literacy into Computer Science Curricula with Accessible Hands-On Learning Activities" at Georgia State University Research Foundation Inc. The project aims to develop a series of accessible, hands-on learning activities featuring artificial intelligence (AI) to be...
- This Project Grant from the National Science Foundation's Division of Undergraduate Education will provide $322,854 to develop a machine learning-based rapid feedback system for hands-on cybersecurity exercises. Funded under the STEM Education program (CFDA 47.076), the award will support creating and testing reinforcement learning models to monitor students completing cyber exercises on platforms like Edurange. When students become stuck or frustrated, the system will automatically provide...
- This Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) aims to create dynamic research experiences for undergraduate students in artificial intelligence (AI) with applications in computer science education. The $400,000 award, effective October 1, 2025 through September 30, 2028, will provide hands-on research opportunities for students to develop AI-based educational resources for computer science education settings. Participant pairs will be...
- 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...
- This National Science Foundation (NSF) Project Grant award under the STEM Education (CFDA 47.076) program provides $450,000 to Georgia TECH Research Corporation to develop fundamental algorithms and infrastructure that enable error-resilient operation of artificial intelligence (AI) systems. The key objectives are to: 1) Implement efficient post-manufacturing testing and tuning methods for deep neural networks implemented on energy-efficient analog crossbar arrays, to address vulnerability to...
- The National Science Foundation awarded a $154,754 project grant to the University of Illinois under the STEM Education program (CFDA 47.076) to develop empathy-driven hands-on projects teaching high school students about cybersecurity and artificial intelligence ethics. The two-year grant running from July 2021 to June 2023 will support collaborative research between the University and local high schools to design and implement curriculum integrating ethical discussions with practical...
- This $300,000 National Science Foundation project grant under the STEM Education program (CFDA 47.076) aims to develop personalized secure programming learning projects motivated by real-world security vulnerabilities. The Research Foundation of the City University of New York at Brooklyn College will work with faculty to map secure programming topics to categories of vulnerabilities, build easy-to-use learning projects from selected vulnerabilities, and develop a personalized project delivery...
The National Science Foundation awarded a $235,255 project grant to Georgia State University Research Foundation Inc. under the STEM Education (formerly Education and Human Resources) federal grant program (CFDA 47.076). The grant will support the development and delivery of twelve experiential learning activity sets focused on raising security awareness among college students for designing trustworthy, deep learning-based applications. The activities are intended to concretize learners' understanding of potential vulnerabilities in deep learning models and equip them with strategies for building secure applications of their own. Topics addressed include threats to data integrity from adversarial examples and backdoors; privacy risks from dataset overfitting and abusive querying; and sample and algorithmic biases. The hands-on activities are designed for learners with little prior knowledge and aim to streamline preparation time for instructors while maximizing equitable dissemination. The three-year project period runs from July 1, 2023 to June 30, 2026 and will enrich the supply of educational tools on recent discoveries in artificial intelligence and deep learning.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $235.3k | 6/12/23 |