Project Grant 2515201

Award Date 4/15/25
Completion Date 9/30/26
Dollars Obligated $300K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Highland Heights, KY 41099, USA
Similar Awards
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) federal grant award of $293,668, made on April 15, 2025, supports a project to expand access to artificial intelligence (AI) education at community colleges. The project, led by Bluegrass Community and Technical College in collaboration with the Computing Research Association, El Paso Community College, and Northeastern University, aims to: 1) facilitate increased AI instructional capacity and...
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 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $299,762 to Grinnell College, in collaboration with the Computing Research Association, Swarthmore College, and Rose-Hulman Institute of Technology, to engage faculty at four-year institutions and expand access to artificial intelligence (AI) education. The project aims to: (1) facilitate increased instructional capacity and develop a...
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 $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 Project Grant award from the National Science Foundation (NSF) under the STEM Education program (CFDA 47.076) provides $200,000 to Miami University to develop a series of accessible, hands-on learning activities featuring artificial intelligence (AI) that can be integrated into existing computer science (CS) courses. The project aims to cultivate AI literacy among undergraduate CS students, increase exposure and engagement with AI, and promote diversity, equity, inclusion, and accessibility...
This $150,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports a collaborative research effort between Oakland University and Worcester Polytechnic Institute. The project aims to increase awareness and promote broader adoption of the National AI Research Resource (NAIRR) pilot. It will organize two 12-workshop series over two years, providing hands-on training for emerging researchers to...
This $2,833,147 National Science Foundation (NSF) STEM Education (CFDA 47.076) project grant aims to establish the National Applied Artificial Intelligence Consortium (NAAIC). The overarching goal is to develop a highly skilled AI workforce by creating a national community of practice and resource repository to support faculty in building capacity for applied and responsible AI education. Key objectives include: Engaging an industry leadership team to identify and disseminate evolving AI...
This $719,922 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 establish a remotely accessible artificial intelligence of things (AIoT) infrastructure for immersive AI education. The key products and services to be delivered through this 3-year award, starting October 1, 2024, include: Developing an integrated AIoT learning platform with modules covering fundamentals like security,...
The National Science Foundation (NSF) has awarded a $214,565 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to Northeastern University. The grant, titled "COLLABORATIVE RESEARCH: CYBERTRAINING: IMPLEMENTATION: MEDIUM: AI4EDU: CLOUD INFRASTRUCTURE-ENABLED TRAINING FOR AI IN EDUCATIONAL RESEARCH AND ASSESSMENT", aims to develop innovative training materials and tools to enable education researchers to utilize artificial...

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 are to: 1) Facilitate increased instructional capacity and develop a sustainable community of practice among faculty implementing AI courses or modules into undergraduate curricula; 2) Establish best practices for AI education at these institutions; 3) Improve faculty confidence in using National AI Research Resource (NAIRR) pilot resources for AI instruction; and 4) Develop strategies for integrating AI content into undergraduate courses, particularly where computational resources are limited. The project will involve virtual roundtable discussions and an in-person workshop, culminating in a publicly available report outlining the findings and recommendations.

Generated 4/29/25, 3:33 AM