SATPC0036299 Tab 04 4 SOW.pdf
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- Solicitation number
- 80NSSC24880189Q
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This document is a Statement of Work (SOW) for the development of a Solar Dynamics Observatory (SDO) AI Helio Foundation Model (HelioFM) to advance Improved Space Weather Forecasting. The contractor is required to provide research and science expertise to support the development of the HelioFM, including designing and implementing downstream tasks such as solar flare detection and forecasting, and enhancing the flare forecasting task through uncertainty quantification and interpretability methods. The contractor will also assist the NASA IMPACT team in developing architectural enhancements to the model, create and provide access to labeled training data, develop benchmarks, support fine-tuning approaches, and validate and evaluate the model's performance. The contractor will also provide outreach and communication support, including organizing workshops, training scientists and developers, and disseminating research findings. The period of performance is from August 15, 2024 to February 14, 2026, and the place of performance is at Georgia State University.
The related federal contract opportunity is a Sole Source Requirement for the SDO AI Helio Foundation Model (HelioFM) for Improved Space Weather Forecasting, issued by the National Aeronautics and Space Administration Shared Services Center.
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Other files
| File | Type | Posted |
|---|---|---|
| SATPC0036299 Tab 06 RDSS..pdf | ||
| SATPC0036299 Tab 07 Capability Statement SAM.gov.pdf |
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Statement of Work for
Solar Dynamics Observatory (SDO) AI Helio Foundation Model (HelioFM) for Improved Space Weather Forecasting
Background and Objective:
Artificial intelligence (AI) model development is playing an important role in advancing our understanding of science. Foundation models (FM), in particular, provide flexibility for developers to pretrain a single model and then customize it for specific downstream tasks.
The NASA Inter-agency Implementation and Advanced Concepts Team (IMPACT) at the Marshall Space Flight Center (MSFC) is developing a foundation model for SDO Solar Dynamics Applications (commonly referred to as HelioFM) and is seeking support in designing, building and evaluating the model to advance and explore a wide range of tasks within the field of Helio-based Space Weather (i.e., Improved Space Weather Forecasting).
Requirements: The contractor shall:
Provide research and science expertise to support the development of a HelioFM in Improved Space Weather Forecasting applications.
a. Develop approach and design for novel downstream science use cases relevant to solar flares.
b. Implement downstream task of automatically detecting and characterizing solar flares using the pre-trained FM model.
c. Implement downstream task of forecasting solar flares based on the full-disk solar EUV and magnetogram images.
d. Enhance the flare forecasting downstream task by implementing uncertainty quantification and interpretability methods.
e. Assist the AI team within IMPACT to develop enhancements to the model’s architecture.
f. Create and provide access to labeled, science training data for each downstream use case.
g. Create or provide documentation for new or existing benchmarks to evaluate the performance of the FM.
h. Support the development of fine-tuning approaches for the downstream use cases.
i. Assist the AI team within IMPACT to validate and evaluate the performance of the FM on downstream use cases.
Provide outreach and communication support aimed at educating and training the science community on the capabilities of the AI FM.
a. Organize and host workshops, tutorials, and/or hackathons with the science community.
b. Train scientists and developers on the capabilities of the AI FM related to the developed downstream use cases.
c. Assist the IMPACT team with disseminating research findings through technical reports, conference presentations, and journal publications.
d. Assist with publicizing the AI FM results to the scientific community as an open-source science collaboration.
Development Cycle: The contractor shall:
Follow the FM development iteration cycles shown below.
Deliverables: The contractor shall deliver:
a. Access to labeled, science training data for each downstream use case.
b. Documentation for new or existing benchmarks to evaluate the performance of the FM.
c. Training & tutorial materials to be used during workshops and/or hackathons with the science community.
d. Research findings as technical reports, conference presentations, and journal publications.
Place of Performance:
Facilities at Georgia State University
Period of Performance:
August 15, 2024 through February 14, 2026.
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