This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) totaling $290,285 will support the development of an advanced cyberinfrastructure that integrates artificial intelligence (AI) with diverse space weather data to improve forecasting of extreme space weather events. The project aims to create generative AI models to enhance historical datasets, apply multimodal machine learning techniques, and build a homogenized dataset of vector magnetograms and open-access computational tools. This will significantly enhance the ability to forecast solar flares, coronal mass ejections, and solar energetic particle events, mitigating their impacts on critical technological systems. The project also fosters collaboration between computer scientists and heliophysicists, provides open-access tools and datasets, and engages student groups in hands-on research and training. This work will advance scientific knowledge, build a skilled STEM workforce, and contribute to national security through improved space weather prediction capabilities.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $290.3k | 5/28/25 |