Project Grant 2516116
- The National Science Foundation (NSF) awarded a $500,000 Project Grant on January 15, 2026 to Purdue University to establish the Center for Accurate Georeferencing of the Environment (CAGE). The CAGE center will serve as a collaborative research hub to address technical and operational challenges in geospatial data georeferencing, sensor calibration, data fusion, and quality assessment. The research efforts will focus on developing rigorous methodologies and frameworks to evaluate and certify...
- This $346,929 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) will fund collaborative research to build foundational knowledge about the spatial skills relevant to contemporary engineering practice. The award, effective January 1, 2026 through December 31, 2028, will focus on identifying the spatial problems embedded in the work of civil and mechanical engineers. The research will utilize ethnographic methods to understand how engineers...
- This $500,000 project grant from the National Science Foundation's Office of Integrative Activities under the Integrative Activities federal grant program (CFDA 47.083) will support the development of a geospatial big data infrastructure and services. Led by researchers at North Carolina Central University in partnership with three other minority-serving institutions, the award will coordinate the creation and sharing of new GIS data layers according to FAIR data principles. Standardized...
- This National Science Foundation (NSF) Engineering Program (CFDA 47.041) project grant award of $600,000 to The Ohio State University aims to establish an intellectual foundation for building a real-time, crowd-sourced geospatial digital twin (GDT). The project will develop novel approaches for ensuring timely, truthful, and unbiased data collection from the community to update GDTs, which provide digital models of physical environments for applications like monitoring, maintenance, and...
- This $234,974 federal Project Grant award was made by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the University of Missouri System's Missouri University of Science & Technology campus. The grant will support the development of scalable, approximate nearest neighbor similarity search systems for large datasets of polygons and trajectories. Key products and services to be delivered include: New methods for...
- This $599,801 federal Project Grant was awarded by the National Science Foundation's Geosciences Program (CFDA 47.050) to develop a robust scientific community and accompanying cyberinfrastructure (CI) for using ground-based imagery to study environmental processes. The key deliverables include: Open-source software (GaugeCam, GRIME-AI) that streamlines and documents reproducible workflows for capturing and analyzing ground-based imagery. Benchmark data products, including data from PhenoCam...
- This National Science Foundation (NSF) Project Grant under the Engineering program (CFDA 47.041) provides $599,989 to the University of Tennessee at Chattanooga (UTC) to develop advanced subsurface sensing systems for real-time infrastructure monitoring and mapping. The 3-year award, effective September 1, 2024, will fund the creation of teams of autonomous ground penetrating radar (GPR) agents equipped with cognitive slant sensing capabilities. The research aims to enable faster and more...
- This $599,945.00 Project Grant was awarded on June 15, 2025 by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) federal grant program (CFDA 47.070). The grant will support Clemson University's research to develop a 3D computer vision framework that fuses multiple sensing modalities, including cameras, depth sensors, LiDAR, and event cameras. The goal is to enhance feature extraction, tracking, and large-scale scene reconstruction to...
- This $103,206 Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to analyze how university research centers and institutes influence scientific collaboration and knowledge production across U.S. research universities. The project will build a comprehensive dataset of over 300 research centers to map center affiliations, collaboration networks, and classify centers based on their founding structures. Using this data, the researchers will...
- This federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $174,507 to DePaul University to evaluate a novel geometric-topological data analysis technique. The purpose is to develop methods for identifying significant features and patterns in high-dimensional data, which could lead to new discoveries in areas like medical science and social studies. The project will also provide hands-on...
This $1,249,992 federal Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) funds the Center for Accurate Georeferencing of the Environment (CAGE) led by The Ohio State University, with partner sites at Saint Louis University and Purdue University. This center is dedicated to advancing methods for accurate and reliable geo-referencing of diverse geospatial data sources. The project focuses on three interconnected thrust areas: 1) advanced georeferencing solutions for navigation in denied environments, 2) rigorous quality assurance and control for industries like transportation and precision agriculture, and 3) transformative data analytics using AI and machine learning for applications in smart farming, infrastructure maintenance, and autonomous systems. This 5-year grant, with an award date of January 15, 2026 and ultimate completion date of December 31, 2030, establishes a collaborative research hub uniting academic researchers, government agencies, and industry partners to address technical and operational challenges in geo-referencing, sensor calibration, spatial data fusion, and data-driven decision making.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.2m | 8/18/25 |