Project Grant 2544192
- Federal Grant Award Summary The University of Maine received a $310,000 Project Grant from the National Science Foundation (NSF) Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective October 1, 2025, through September 30, 2028. This collaborative research project delivers research and development services focused on enabling artificial intelligence (AI)-based dialogue systems to assist software...
- Federal Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems (Computer and Information Science and Engineering program, CFDA 47.070) awarded $278,570 to the University of Maine System for a project spanning January 1, 2026 through December 31, 2027. The award supports the development and delivery of virtual preconference activities and two in-person conferences targeting early-career computer science and engineering investigators across Maine,...
- Federal Grant Award Summary The University of Maine received a $584,034 CAREER award from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective July 1, 2025, through June 30, 2030. This project grant supports research and development activities focused on advancing interpretable machine learning (ML) for computer vision applications. The primary deliverables include...
- Federal Grant Award Summary The National Science Foundation's Division of Computing and Communication Foundations awarded a CAREER grant of $357,069 to The Johns Hopkins University (dated August 15, 2026, with completion targeted for July 31, 2031) to develop interpretable, large language model (LLM)-based artificial intelligence systems that enable scientific discovery by identifying structural parallels and cross-cutting connections across scientific literature domains. The primary...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded the University of Rhode Island a Project Grant of $341,343 under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on June 15, 2025, with completion targeted for May 31, 2030. This CAREER award supports the development of tools and methodologies to help data scientists anticipate and prevent unintended systemic errors in machine learning...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Computing and Communication Foundations awarded a five-year CAREER (Computer and Information Science and Engineering, CFDA 47.070) Project Grant of $393,606 to the Regents of the University of Minnesota, with performance at the Minneapolis campus from July 1, 2026 through June 30, 2031. This grant funds the development of novel artificial intelligence (AI) methods and frameworks for adaptive experimental design to...
- Federal Grant Award Summary The National Science Foundation's Division of Information and Intelligent Systems awarded Oregon State University a $199,999 Project Grant (CFDA 47.070 - Computer and Information Science and Engineering) on April 15, 2026, for the EAGER (Early-concept Grants for Exploratory Research) initiative titled "Supporting and Sustaining Evidence-Based Computer Science Education." The project, scheduled for completion by March 31, 2028, expands the Computer Science...
- Federal Grant Award Summary The National Science Foundation (NSF), Division of Information and Intelligent Systems, awarded $413,700 to the Regents of the University of Michigan under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on July 1, 2025, for a CAREER project focused on example-enhanced intelligent tutoring systems. The award, which extends through June 30, 2030, supports the development of scalable upskilling and reskilling programs designed to...
- Federal Grant Award Summary San Jose State University Research Foundation received a $174,979 Project Grant from the National Science Foundation (NSF) Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded August 15, 2025, with completion targeted for July 31, 2027. This Computer and Information Research Infrastructure (CRII) award supports the development of pedagogical frameworks and teaching...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Computing and Communication Foundations awarded a five-year Project Grant totaling $383,884 to Texas A&M Engineering Experiment Station for research on artificial intelligence (AI)-supported computing education. Awarded June 1, 2026, and extending through May 31, 2031, this Computer and Information Science and Engineering (CISE) program award (CFDA 47.070) develops a novel multi-agent framework designed...
The National Science Foundation's Division of Computing and Communication Foundations awarded $552,200 to the University of Maine through its Computer and Information Science and Engineering (CISE) program (CFDA 47.070) under a CAREER Project Grant effective June 1, 2026 through May 31, 2031. This award supports the development and evaluation of scalable teaching methods designed to equip computing students with professional skills essential for workforce readiness in an artificial intelligence (AI)-integrated economy. The project addresses identified skill gaps by developing two complementary pedagogical approaches: structured peer reflection groups where students collaborate to share progress and set improvement goals, and a novel video-assisted reflection method enabling students to record and analyze their own programming processes as they experiment with generative AI-based tools. The award will produce adoptable course materials and faculty training workshops that can be scaled across computing education programs to strengthen the computing workforce pipeline. The project incorporates longitudinal mixed-methods evaluation through design-based research to iteratively refine both the peer reflection group methodology and video-assisted reflection techniques, with emphasis on developing students' capacity for critical and reflective use of AI tools, iterative improvement, lifelong learning habits, and psychological safety. The deliverables will advance computing education research and human-computer interaction while preparing American computing graduates for leadership roles in AI-integrated global markets.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $552.2k | 5/29/26 |