This $295,536 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to enhance access to advanced artificial intelligence (AI) resources and foster research collaborations. The award supports a program that equips campus champions and research computing facilitators at academic institutions, including under-resourced and minority-serving institutions, with tools and opportunities to promote AI research....
This $300,000 Project Grant was awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) on April 15, 2025. The grant will fund a collaborative effort led by Northern Kentucky University, in partnership with the Computing Research Association, Texas State University, and Kennesaw State University, to engage faculty at research-emerging institutions with large computing programs. The primary goals of the project...
This $392,942 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) will support Marymount University's "Accelerating AI Workforce Development: Preparing Faculty for Teaching AI Across Domains and Pathways" initiative. The project aims to develop the future AI-enabled workforce by educating high school, community college, and university faculty across disciplines on AI principles...
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 awarded a $200,000 Project Grant to Texas State University under the STEM Education program (CFDA 47.076) to expand AI curriculum and infrastructure on the university's campus. The project aims to significantly expand access to AI education, infrastructure, and research opportunities across non-AI disciplines like criminal justice, psychology, firefighting, and agriculture. This four-year initiative will enhance instructional and curricular capacity by...
This $298,882 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program will fund a collaboration led by the University of Wyoming, in partnership with the Computing Research Association, Loyola University of Chicago, and the College of Charleston. The goal is to increase Artificial Intelligence (AI) education capacity and community at research-emerging institutions with small-to-medium computing programs. The project will...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) in the amount of $175,331 provides funding for a collaborative research project focused on developing and evaluating novel AI-based methods for student modeling to enhance personalized learning in computer science education. The project aims to tailor large language models (LLMs) to adapt instructional support based on students' knowledge state and competencies,...
The National Science Foundation (NSF) awarded a $6,999,294 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Texas at Austin for the CHISHIKI.AI initiative. This 5-year project aims to build a sustainable, diverse, and integrated community of computational infrastructure (CI) professionals working at the intersection of artificial intelligence (AI) and civil/environmental engineering (CEE). The project will foster collaboration between...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) federal project grant award (CFDA 47.070) totaling $300,000 provides funding to the Texas A&M Engineering Experiment Station (Tees) over a 3-year period beginning December 1, 2024. The project aims to advance methodologies for learning structural models of control behavior, by considering diverse data sources including demonstrations and preferences, in both online and offline settings. The...
This $300,000 federal Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports the "PACES: Providing Accelerated Cybertraining for Emerging Scientists" initiative led by Texas A&M University. The project aims to offer training opportunities for researchers, particularly those at minority-serving and emerging research institutions, to familiarize themselves with and leverage advanced...