Project Grant 2504861

Award Date 7/1/25
Completion Date 6/30/28
Dollars Obligated $110K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Laurel, MD, USA
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This $109,930 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will develop an advanced cyberinfrastructure that integrates artificial intelligence (AI) with diverse space weather data to improve forecasting of extreme space weather events.

The key products and services to be delivered include:

  • Creating a homogenized dataset of vector magnetograms and open-access computational tools for processing magnetogram, time series, and metadata data
  • Applying generative AI techniques and multimodal machine learning to enhance historical datasets and optimize forecasts of solar flares, coronal mass ejections, and solar energetic particle events
  • Providing an interoperable learning framework for heliophysics research to benefit the scientific community and sectors reliant on accurate space weather predictions

This award will run from July 1, 2025 to June 30, 2028 and is being led by The Johns Hopkins University, a prominent private research institution.

Generated 6/17/25, 3:25 AM