EAGER: Distributed Research Experiences for Undergraduates in Artificial Intelligence
National Science FoundationDescription
The Computing Research Association (CRA) will establish Distributed Research Experiences for Undergraduates in Artificial Intelligence (DREU-AI), a nationally coordinated program that provides undergraduate students with mentored research experiences in artificial intelligence. Artificial intelligence (AI) is rapidly becoming foundational to scientific discovery, engineering, healthcare, and many sectors of the national economy. Continued progress in AI depends not only on advances in algorithms and computing infrastructure, but also on developing a workforce capable of integrating machine learning, data science, and domain expertise to address complex real-world problems. However, many undergraduate students have limited access to research opportunities in AI, particularly at institutions without active AI research groups. By providing structured research placements and professional development opportunities, the program aims to strengthen pathways into AI research and contribute to the development of a skilled and innovative AI workforce. The project focuses on three main goals. First, the program will provide undergraduate students with full-time summer research experiences in artificial intelligence through placements in research groups across the United States. Students will work with research mentors on projects spanning areas such as machine learning, trustworthy and interpretable AI, AI for science and engineering, multimodal modeling, and AI systems. Second, the program will create a coordinated national cohort through shared research discussions, milestone checkpoints, and professional development activities that support students in developing research skills and preparing for graduate study. Third, the program will establish a structured mentoring and evaluation framework that supports research mentors, aligns student research milestones across institutions, and enables systematic assessment of program outcomes. The program builds on the proven Distributed Research Experiences for Undergraduates model developed by CRA. Through centralized coordination, rigorous mentoring practices, and national recruitment, the project will enable increased participation in AI research and strengthen the nation’s artificial intelligence workforce. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. NSF Award ID: 2620474 | Program: 01002627DB NSF RESEARCH & RELATED ACTIVIT | Principal Investigator: Soha Hassoun | Institution: Computing Research Association, WASHINGTON, DC | Award Amount: $400,000 View on NSF Award Search: https://www.nsf.gov/awardsearch/show-award/?AWD_ID=2620474 View on Research.gov: https://www.research.gov/awardapi-service/v1/awards/2620474.html
Interested in this grant?
Sign up to get match scores, save grants, and start your application with AI-powered tools.
Grant Details
$400,000 - $400,000
March 31, 2028
WASHINGTON, DC
External Links
View Original ListingWant to see how well this grant matches your organization?
Get Your Match Score