Project Grant 2608754
- Federal Grant Award Summary Vanderbilt University received a $200,000 Project Grant award effective August 1, 2025, through July 31, 2028, 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). This collaborative research initiative focuses on developing advanced graph retrieval techniques for retrieval-augmented generation (RAG) systems that enhance generative artificial...
- Federal Project Grant Award Summary Vanderbilt University received a $397,084 Project Grant awarded June 1, 2026, from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CFDA 47.070) program. The five-year project, concluding May 31, 2031, delivers research and development services focused on enhancing artificial intelligence tools for software engineering through human-centered design methodologies. The...
- Federal Grant Award Summary Vanderbilt University received a $1.2M project grant awarded September 1, 2025, from the National Science Foundation's Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The project, titled "Intelligent Cyber Microscopy System for Long-Term Microscope Imaging" (ICMS), will develop an AI-powered cyber-physical system that transforms biological microscopy capabilities through the...
- Federal Grant Award Summary Vanderbilt University received a $1.0 million Project Grant from the National Science Foundation's Division of Computer and Network Systems under the Computer and Information Science and Engineering program (CFDA 47.070) awarded June 15, 2026, with a completion date of May 31, 2029. The award supports the sustained operation and enhancement of the Cyber-Physical Systems Virtual Organization (VO) web-based platform, which serves as a collaborative hub for researchers...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Office of Advanced Cyberinfrastructure awarded Vanderbilt University $248,968 under the Computer and Information Science and Engineering (CFDA 47.070) program to develop high-throughput computational workflows for elucidating the origin of lasso peptide handedness. The project, led by Professor Zhongyue John Yang in the Department of Chemistry, runs from September 1, 2025, through August 31, 2028. The research deliverables...
- Federal Project Grant Award Summary Vanderbilt University received a $431,236 CAREER (Faculty Early Career Development) Project Grant awarded on August 15, 2026, by the National Science Foundation's Division of Biological Infrastructure under the Biological Sciences program (CFDA 47.074). The five-year award, extending through July 31, 2031, supports the development of an integrated computational framework for spatial transcriptomics data analysis and three-dimensional tissue reconstruction. The...
- Federal Grant Award Summary The National Science Foundation (NSF) awarded Vanderbilt University a $1.6 million Project Grant under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on October 1, 2025, for the COSTA (Community Open Simulation, Training, and Applications Framework) project, with completion targeted for September 30, 2028. This collaborative initiative, led by Vanderbilt University in partnership with Georgia Institute of Technology, University of...
- Federal Project Grant Award Summary Vanderbilt University received a $446,272 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 September 1, 2025, through August 31, 2028. This award supports research investigating cognitive processes that govern language use and memory during conversation, with the central hypothesis that language production shapes memory...
- Federal Project Grant Award Summary Vanderbilt University received a $4.0 million Project Grant award dated July 15, 2025, from the National Science Foundation's Office of Integrative Activities under the Integrative Activities program (CFDA 47.083). The award will support the development of a next-generation Matrix-Assisted Laser Desorption/Ionization (MALDI) Trapped Ion Mobility Fourier Transform Ion Cyclotron Resonance (FT-ICR) mass spectrometry platform for high-performance molecular...
- Federal Grant Award Summary Vanderbilt University received a $1,032,370 CAREER (Faculty Early-Career Development Program) Project Grant from the National Science Foundation (NSF) Division of Environmental Biology under the Biological Sciences program (CFDA 47.074), awarded August 1, 2026, with a completion date of July 31, 2031. This five-year award funds research investigating the dynamic interplay between DNA methylation and bacterial evolution, with the goal of advancing foundational...
Vanderbilt University received a $300,000 Project Grant from the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering (CFDA 47.070) program, awarded September 1, 2026, with completion targeted for August 31, 2029. The project develops MutexA.Data, an open-access data infrastructure platform that consolidates fragmented enzyme biotechnology data currently scattered across scientific publications, supplementary files, and disparate databases into a unified, searchable resource. The platform leverages large language model (LLM) technology to extract, validate, and enrich enzyme information from scientific literature, enabling researchers to access standardized enzyme properties including kinetic constants, activity, yield, selectivity, thermostability, and assay conditions with quantified provenance and confidence metrics. The project delivers dual benefits to the biotechnology research community and workforce development. The core product includes an LLM-based data extraction system employing document verification, citation-grounded validation, multi-agent error detection, sequence alignment, and cross-database normalization to connect enzyme data with verified sequences, reactions, and structures. Additionally, the project supports education and workforce development through web-based tools, tutorials, workshops, and integration into undergraduate and graduate curricula, providing students, instructors, and researchers with intuitive natural language interfaces to accelerate computational enzyme engineering and discovery for sustainable biomanufacturing applications.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 7/11/26 |