Project Grant 2530946
- This $109,930 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop an advanced cyberinfrastructure that integrates artificial intelligence (AI) with diverse space weather data to improve forecasting of extreme space weather events. The project, led by The Johns Hopkins University, will apply generative AI models to enhance historical solar data, enabling more accurate predictive analyses of...
- Utah State University will receive $527,129 from the National Science Foundation under the Geosciences federal grant program (CFDA 47.050) for a project grant titled "COMBINING PHYSICS AND MACHINE LEARNING-BASED MODELS FOR FULL-ENERGY-RANGE SOLAR ENERGETIC PARTICLES EVENTS PREDICTION." From July 1, 2022 to June 30, 2025, the university will develop new models to predict solar energetic particle events using physics-based and machine learning approaches. Key products and services...
- This $558,790 Project Grant award from the National Science Foundation (NSF) Division of Atmospheric and Geospace Sciences supports a study on the spatio-temporal variability of solar energetic particles (SEPs) in the inner heliosphere. The University of New Hampshire (UNH) is the prime awardee, leading the project to gain better insights on SEP characteristics, including intensity, flux, and evolution. The project will leverage data from NASA's Parker Solar Probe and Solar Orbiter, along with...
- This $290,285 Project Grant awarded by the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop an advanced cyberinfrastructure that integrates artificial intelligence (AI) with diverse space weather data to improve forecasting of extreme space weather events. The project, conducted by the Georgia State University Research Foundation, will create generative AI models to enhance historical datasets and enable scalable...
- This Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop an advanced cyberinfrastructure that integrates artificial intelligence (AI) with diverse space weather data to improve forecasting of extreme space weather events. The $199,534 award to the New Jersey Institute of Technology (NJIT), with a performance period from Jul 1, 2025 to Jun 30, 2028, will enable the...
- This Project Grant from the National Science Foundation Division of Atmospheric and Geospace Sciences, under the Geosciences federal grant program (CFDA 47.050), provides $437,703 to Utah State University to advance interdisciplinary research connecting heliophysics and computer science. The award supports the development of novel graph neural network models to leverage time series similarities of photospheric vector magnetic field parameters for improved solar flare prediction. Researchers will...
- The National Science Foundation awarded a $500,000 Project Grant from the Geosciences program (CFDA 47.050) to the University of Maryland, College Park. The grant will fund a collaborative research project titled "CAIG: Reliable Generative Downscaling for Geoscience Data" from October 1, 2025 to September 30, 2028. The project aims to develop a transformative AI-based framework for generating high-fidelity, physically consistent, and uncertainty-calibrated geoscience data. This will...
- This National Science Foundation (NSF) Geosciences Program (CFDA 47.050) grant award provides $593,864 to the New Jersey Institute of Technology (NJIT) from September 2024 to August 2027. The project will develop an AI-driven framework called SolarDM to generate high-resolution, high-cadence vector magnetograms of the solar chromosphere and photosphere. These AI-generated products will provide valuable data on the Sun's magnetic field to significantly advance the understanding and prediction...
- The National Science Foundation (NSF) awarded a $462,224 Project Grant to the Catholic University of America (CUA) under the Geosciences (CFDA 47.050) program. The grant, effective July 1, 2025 through June 30, 2028, aims to advance scientific understanding of the interactions between the solar wind and the Earth's magnetosphere, which drive space weather that can disrupt critical infrastructure. The project will combine spacecraft observations, advanced simulations, and machine learning to...
- The National Science Foundation (NSF) awarded a $202,000 project grant under the Geosciences program (CFDA 47.050) to advance the field of heliophysics through automated machine learning and open-source integration. The project aims to develop an automated, open-source pipeline that leverages advanced computer vision techniques to enhance the detection, segmentation, classification, and extraction of physical parameters from solar images captured by NASA's Solar Dynamics Observatory. Key...
This $749,989 Project Grant was awarded on January 1, 2026 by the National Science Foundation's (NSF) Geosciences Program (CFDA 47.050) to Utah State University (USU). The project aims to address a key limitation in space weather forecasting by generating realistic synthetic data representing Solar Energetic Particle (SEP) events across multiple observational sources. This will enable the development of more accurate and generalizable AI-based forecasting models to safeguard space operations and infrastructure. The project will proceed in three integrated research thrusts: 1) constructing a multimodal dataset of SEP events, 2) developing a generative modeling framework to synthesize realistic SEP data, and 3) creating a hybrid learning framework for SEP prediction. The resulting tools and datasets will be shared with the scientific community through open-source repositories. This project supports the Geosciences Program's objective of expanding scientific knowledge about the integrated Earth system.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $750.0k | 7/8/25 |