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 $295,000 Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to train the future research workforce to develop and use AI-based cloud cybersecurity solutions that are fair, ethical, and unbiased. The key products and services to be delivered under this 3-year award, which begins on August 1, 2024, include: Developing and integrating seven advanced experiential learning modules, referred to...
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 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 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 National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $370,692 to the University of Washington to understand the effects of large language models (LLMs) on the work of online information professionals. The project aims to develop an epistemological framework to characterize the information risks posed by LLM-generated content, as well as proactive and reactive approaches to assessing and detecting...
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...
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 $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...
This National Science Foundation (NSF) STEM Education (CFDA 47.076) project grant award of $200,000 to Norfolk State University (NSU) aims to expand the nexus between artificial intelligence (AI) and cybersecurity research, curriculum development, and training. The key components of the "AI-SECURE" project include: Curriculum Development: Creation of 5 new AI courses, a machine learning/AI minor, and 6 experiential learning modules to infuse responsible AI principles into NSU's...