ROSES 2024: B.16 Heliophysics Artificial Intelligence/Machine Learning-Ready Data
NASA's ROSES 2024 B.16 program seeks proposals for Heliophysics research using AI/ML-ready data; Step-1 due Feb 6, 2025, Step-2 due April 17, 2025. See NSPIRES for details and required forms.
This grant is no longer accepting proposals
NASA Headquarters has archived this opportunity.
Funder: NASA Headquarters
Due Dates: February 6, 2025 (Step-1) | April 17, 2025 (Step-2)
Funding Amounts: Up to $150,000 per award; project duration up to 1 year; number of awards depends on proposal quality and available funds.
Summary: Supports the creation of AI/ML-ready datasets from existing Heliophysics research and mission data to advance NASA Heliophysics science goals.
Key Information: Dual-anonymous peer review; strict anonymization and formatting requirements; Step-1 proposal required for Step-2 eligibility.
Description
This opportunity, part of NASA's Research Opportunities in Space and Earth Sciences (ROSES) 2024, solicits proposals to develop new tools and methods for generating artificial intelligence/machine learning (AI/ML)-ready datasets from existing Heliophysics research and mission data. The goal is to enable and accelerate scientific discovery in Heliophysics by improving the accessibility, quality, and usability of data for AI/ML applications. Projects may include data cleaning, labeling, calibration, and the creation of data products or methods that facilitate AI/ML research relevant to NASA Heliophysics science objectives.
Proposals should focus on activities such as:
- Creating labeled features from observational datasets
- Developing AI data science products for automated mission operations
- Improving calibration or self-calibration of data
- General methods for preparing data for AI/ML use across multiple NASA missions
All resulting data products are expected to be made publicly available in a timely manner and must be easily ingestible by common AI/ML tools.
