CyberAI SFS: Preparing Future CyberAI LeADERS through AI-Integrated Training and Applied Learning Experiences

NSF Award Search · 04002627DB NSF STEM Education · $2,499,867 · view on nsf.gov ↗

Abstract

This project provides scholarships for undergraduate and graduate students enrolled in Artificial Intelligence (AI) and Cybersecurity (CyberAI) programs at Old Dominion University (ODU) in exchange for their service supporting CyberAI mission of government organizations. The project supports an educational interdisciplinary program that relies on a number of high-quality courses in cybersecurity and AI, hands-on experience both at ODU and during summer internships at government organizations, participation in research projects supervised by CyberAI faculty, participation in extracurricular activities including competitions and outreach activities to prepare students for a variety of professions in CyberAI field. In addition to fulfilling required coursework, this project places a strong emphasis on experiential learning opportunities, research projects, and leadership development through teamwork depending on the student's preparation and aspiration. With a strong institutional track record in their Scholarship for Service (SFS) program for preparing students for public service careers in CyberAI, ODU and its School of Cybersecurity are uniquely positioned to successfully run this project. ODU is the first university in the nation to have its CyberAI programs validated by the National Security Agency (NSA). In addition, ODU is designated by the NSA as a National Center of Academic Excellence in Cyber Defense Research (CAE-R) a National Center of Academic Excellence in Cyb

Key facts

NSF award ID
2623215
Awardee
Old Dominion University Research Foundation (VA)
SAM.gov UEI
DSLXBD7UWRV6
PI
Daniel Takabi
Primary program
04002627DB NSF STEM Education
All programs
Artificial Intelligence (AI), AI Education/Workforce Develop
Estimated total
$2,499,867
Funds obligated
$2,499,867
Transaction type
Standard Grant
Period
07/01/2026 → 06/30/2029