Project Grant 2538883
- Federal Project Grant Award Summary The University of Utah received a $110,000 Project Grant award effective September 1, 2025, through August 31, 2028, from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) to develop a comprehensive framework for the principled use of artificial intelligence (AI) technologies in data-intensive education research. This collaborative research initiative addresses the gap between high-level responsible AI principles and...
- Federal Project Grant Award Summary The University of Utah received a $999,998 Project Grant from the National Science Foundation's Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), effective July 1, 2026 through June 30, 2029. This collaborative Phase I research project, titled "CAMEL-CN: ALTA-CN: AI-Powered Learning by Teaching for Algebraic Reasoning Through Collaborative Networks," will create research-ready...
- The University of Utah will receive $614,956 from the National Science Foundation under the Computer and Information Science and Engineering program (CFDA 47.070) to develop acceleration strategies for emerging life science workloads through an AI+X approach from October 1, 2022 to September 30, 2025. Specifically, the project will design configurable accelerator architectures to efficiently handle both artificial intelligence and small-market healthcare domains like computational pathology...
- The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program awarded a $220,000 Project Grant to the University of Utah. The goal of this project is to empower AI researchers to more easily search, discover, and use AI-ready data sets, which could streamline and democratize AI research. The project will investigate and develop data discovery services using innovative AI techniques to extract data set information from scientific publications....
- This $439,425 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant supports research to enable the safe deployment of learning-enabled systems that can robustly learn and optimize their behavior based on uncertain human feedback and intent. The key objectives are to: (1) develop methods for providing probabilistic performance guarantees when learning policies from human input,...
- The National Science Foundation (NSF) awarded a $4,546,903 Project Grant under the Integrative Activities (CFDA 47.083) program to the Regents of the University of Idaho. The grant, titled "Crossing the Innovation Valley of Death: Democratizing Data and Artificial Intelligence for Research Administration," aims to enhance post-award research administration by developing open-source tools that integrate artificial intelligence (AI) and data science. The project has three main...
- Federal Grant Award Summary Utah State University received a $618,387 Project Grant from the National Science Foundation (NSF) Directorate for Engineering, Engineering Education and Centers division (CFDA 47.041), effective September 1, 2026 through August 31, 2030. The award funds a longitudinal research study examining how undergraduate engineering students develop metacognitive regulation, exercise sound judgment, and maintain professional responsibility while using Artificial Intelligence...
- Federal Project Grant Award Summary The University of Utah received a $558,188 Project Grant awarded on January 15, 2026, through the National Science Foundation's Office of Integrative Activities under the Geosciences program (CFDA 47.050). This collaborative research initiative, extending through December 31, 2028, delivers scientific research products and computational tools aimed at understanding the dynamical behavior of dense granular media relevant to natural hazards such as avalanches,...
- Federal Project Grant Award Summary The University of Utah's Office of Sponsored Projects received a $250,000 Project Grant from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), effective September 1, 2025, through August 31, 2028. This collaborative research initiative focuses on developing the Unified Neural Operator (UNO) framework, which integrates operator learning techniques to create trustworthy,...
- The University of Utah received a $186,955 Project Grant award from the National Science Foundation Division of Computing and Communication Foundations on August 1, 2021 to support research through July 31, 2022. The grant funds the "COLLABORATIVE RESEARCH: PPOSS: PLANNING: MODEL-DRIVEN COMPILER OPTIMIZATION AND ALGORITHM-ARCHITECTURE CO-DESIGN FOR SCALABLE MACHINE LEARNING" project under the Computer and Information Science and Engineering program (CFDA 47.070). This program...
The University of Utah received a $2.16M Project Grant from the National Science Foundation's Directorate for Technology, Innovation, and Partnerships (CFDA 47.084) awarded July 1, 2026, through June 30, 2028. The SAFE-AI (Sandbox for Accelerated Feedback and Experimentation for AI Innovation) initiative develops and launches an AI testbed infrastructure supported by a novel public-private partnership ecosystem. The project convenes state government, academic institutions, and industry partners—including Mindshare Ventures, Ascend AI Labs, and Clarion AI Partners—to advance AI research and development, foster innovation adoption, and build an AI-literate workforce while addressing regulatory compliance requirements in sensitive sectors. The testbed delivers three primary use case demonstrations and associated innovation sandbox environments: AI-assisted radiological interpretation, mental health assessment and education, and runtime enforcement infrastructure. Leveraging AWS innovation sandboxes, the project creates secure, isolated, and auditable environments enabling researchers and industry leaders to experiment with AI implementations in regulated environments. Deliverables include coordination and integration of supporting infrastructure, formalized public-private partnership models, and regulatory adaptation strategies to facilitate industry market entry. The initiative is guided by the SAFE-AI Advisory Committee and engages with related national efforts including the NSF National AI Research Resource (NAIRR), positioning the testbed as a resource for broader AI adoption across complex sectors requiring regulatory compliance.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $2.2m | 6/30/26 |