Project Grant 2609117
- Federal Project Grant Award Summary The University of Chicago received a $2.54 million Project Grant award from the National Science Foundation's Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering program (CFDA 47.070) effective October 1, 2026, with completion targeted for September 30, 2029. This collaborative research project develops an artificial intelligence (AI)-based conversational assistant framework designed to simplify the configuration...
- Federal Project Grant Award Summary The University of Texas at Austin received a $300,000 Project Grant from the National Science Foundation's Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering program (CFDA 47.070), awarded October 1, 2026, with completion targeted for September 30, 2029. The grant funds development of an AI-based conversational assistant framework designed to simplify the configuration and deployment of scientific computing...
- Federal Grant Award Summary Indiana University received a $299,524 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations under the Computer and Information Science and Engineering program (CFDA 47.070), awarded October 1, 2025, with completion targeted for September 30, 2027. The award supports the design and development of an accountable Large Language Model (LLM) therapy software system specifically configured for behavioral health...
- Summary of Federal Project Grant Award The National Science Foundation's Division of Information and Intelligent Systems awarded $134,000 to the University of Illinois on April 15, 2026, under the Computer and Information Science and Engineering (CFDA 47.070) program to develop and disseminate artificial intelligence (AI) curricular resources for Advanced Placement Computer Science A (APCSA) courses. The project addresses the Executive Order on Advancing Artificial Intelligence Education for...
- Federal Grant Award Summary Indiana University, through the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), received a $449,727 Project Grant award effective October 1, 2025, through September 30, 2028. The award supports research on Gradual Information Flow Control (IFC), a security enhancement technique that allows developers to flexibly balance static and dynamic security checks throughout their software applications. The...
- Federal Grant Award Summary The University of Notre Dame received a $309,911 Project Grant award from the National Science Foundation's (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 initiative will develop dialogue policies and training methodologies to enable artificial intelligence (AI)-based interactive...
- Federal Grant Award Summary The National Science Foundation (NSF), Division of Computing and Communication Foundations, awarded the University of Illinois a Project Grant totaling $356,787 on July 15, 2026, under the Computer and Information Science and Engineering (CFDA 47.070) program. The research project, titled "CAREER: Shaping Embodied Intelligence Through Language-Guided Introspection," will develop advanced artificial intelligence (AI) agents capable of self-monitoring,...
- Federal Grant Award Summary The National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) awarded $300,000 to the University of Michigan - Flint on September 1, 2025, for an Eager Award under the National Artificial Intelligence Research Resource (NAIRR) Pilot Expansion initiative. The project, running through August 31, 2027, will develop a comprehensive collection of hands-on educational laboratories that integrate machine learning...
- Federal Grant Award Summary New York University received a $763,741 collaborative research project grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective September 1, 2025, through August 31, 2029. The grant supports research investigating the misalignment between how humans and artificial intelligence (AI) language models process language, specifically...
- Federal Grant Award Summary The National Science Foundation's Office of Advanced Cyberinfrastructure awarded the University of Notre Dame $177,000 under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on October 1, 2025, for a collaborative research project focused on developing an Open Science Roadmap for Research Infrastructures. The primary deliverables include a comprehensive assessment of data management practices across selected NSF Major and Mid-scale...
The National Science Foundation's Office of Advanced Cyberinfrastructure awarded Indiana University a $149,588 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program, effective October 1, 2026, through September 30, 2029. This collaborative research initiative, titled "Cloud Conversations: AI-Augmented Interfaces to Research Infrastructure," develops an artificial intelligence-based conversational assistant designed to simplify the configuration of scientific computing environments on shared research cloud infrastructure. The solution enables researchers to describe their computing requirements in natural language rather than requiring specialized expertise in system administration, networking, and security configuration—addressing a critical operational challenge that diverts researcher attention from scientific work. The project delivers an AI-agent framework combining large language models with software tools for planning, provisioning, and validating scientific computing environments on open research infrastructure platforms such as Chameleon and Jetstream2. Key components include planning modules with resource limitation and hardware compatibility checks, state and error handling systems for multi-step workflow tracking, and search pipelines to organize information from diverse technical sources. This framework is expected to increase scientific productivity, reduce cloud computing costs, and enable improved reproducibility of computational experiments by automating complex environment configuration tasks that traditionally require substantial specialized knowledge and manual effort.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $149.6k | 5/25/26 |