Project Grant 2551626
- The National Science Foundation Division of Computing and Communication Foundations awarded The University of Central Florida Board of Trustees $321,578 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop scalable, trustworthy, and privacy-preserving methods for cross-view geo-localization. The project will create large-scale datasets combining ground-level imagery, aerial imagery, satellite imagery, geographic information system...
- The National Science Foundation Division of Computing and Communication Foundations awarded Georgia Tech Research Corp $997,565 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop artificial intelligence systems for privacy-preserving image geolocation. The project develops reasoning-centered AI agents that can explain how they determine a photograph's location and help users control location disclosure. The work trains vision-language...
- The National Science Foundation Office of Advanced Cyberinfrastructure awarded Massachusetts Institute of Technology $432,737 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop large-scale pretraining approaches for earth observation foundation models using noisy geospatial labels. The project characterizes scaling laws for earth observation foundation models by studying how model performance varies with dataset size, model size, land...
- The National Science Foundation Office of Advanced Cyberinfrastructure awarded the University of Vermont $584,821 on March 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to strengthen open research data infrastructure and capacity across Vermont through the Vermont Research Open Source Program Office (VERSO). The project expands UVM's institutional data repositories to make research outputs more findable, accessible, interoperable, and reusable...
- The National Science Foundation Division of Computing and Communication Foundations awarded William Marsh Rice University $423,517 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a novel artificial intelligence framework for representing, visualizing, and analyzing large heterogeneous geospatial signal sets. The project will create a Multivariate Neural Field (MVNF) framework—a continuous function representation using a shared...
- The National Science Foundation Division of Computing and Communication Foundations awarded the College of William & Mary $600,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop an AI-enhanced framework for authoring digital material representations from ordinary photographs. The research will investigate learned material-to-material (MAT2MAT) transformations that convert one digital material representation into another,...
- The National Science Foundation Division of Computing and Communication Foundations awarded $300,000 to The Research Foundation For The State University Of New York (operating as SUNY at Binghamton) on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to advance large language model-based spatial-temporal forecasting for urban dynamics prediction. The project establishes theoretical foundations, robustness guarantees, and interpretable...
- The National Science Foundation Office of Integrative Activities awarded the University of Vermont $3,259,097 on August 1, 2026, under the Integrative Activities program (CFDA 47.083) to establish a regional snow and weather monitoring network across Vermont, New Hampshire, and Maine. The project will install snow and weather measurement equipment at key locations to close observational gaps in Northern New England and advance understanding of snow accumulation and melt processes, orographic...
- The National Science Foundation Division of Computing and Communication Foundations awarded New York University $351,857 on May 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to research the alignment of computational efficiency and human visual perception in generative artificial intelligence models. The project develops a research framework to measure, model, and optimize the relationship between computational cost and human visual perception for...
- The National Science Foundation Division of Computer and Network Systems awarded the University of Virginia $839,037 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to advance research in cyber-physical-cognitive systems for human-robot teaming. The project establishes scientific foundations for robots that can reason about human partners' goals, beliefs, and expectations, enabling proactive assistance and safe collaboration even when...
The National Science Foundation Division of Computing and Communication Foundations awarded the University of Vermont $678,422 on September 1, 2026, through the Computer and Information Science and Engineering program (CFDA 47.070) to develop datasets, foundation models, and algorithms for cross-view geo-localization that connects ground-level photographs, aerial imagery, and satellite images to determine photograph locations. The project creates large-scale multimodal datasets combining ground-level imagery, aerial imagery, satellite imagery, geographic information system data, segmentation annotations, and natural language descriptions collected from diverse regions worldwide. Research activities develop foundation models that learn shared representations across multiple views and modalities, investigate reasoning capabilities for geospatial understanding, and advance privacy-preserving and interpretable methods for cross-view analysis. The work addresses limitations in current artificial intelligence systems that struggle to generalize across geographic regions, adapt to changing environmental conditions, explain decisions, and protect sensitive information. The project will produce openly available datasets, models, and software resources while supporting graduate and undergraduate student research and training. Performance occurs in Burlington, Vermont through August 31, 2030. The resulting advances aim to accelerate innovation in geospatial artificial intelligence and strengthen capabilities in managing large-scale geospatial information for applications including transportation, mapping, environmental monitoring, emergency response, and public safety.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $678.4k | 7/24/26 |