Heliophysics Discovery Tools for the 21st Century: Data Science and Machine Learning Structures and Recommendations for 2020-2050

Three main points: 1. Data Science (DS) will be increasingly important to heliophysics; 2. Methods of heliophysics science discovery will continually evolve, requiring the use of learning technologies [e.g., machine learning (ML)] that are applied rigorously and that are capable of supporting discov...

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Bibliographic Details
Published in:arXiv.org 2022-12
Main Authors: McGranaghan, R M, Thompson, B, Camporeale, E, Bortnik, J, Bobra, M, Lapenta, G, Wing, S, Poduval, B, Lotz, S, Murray, S, Kirk, M, Chen, T Y, Bain, H M, Riley, P, Tremblay, B, Cheung, M, Delouille, V
Format: Article
Language:English
Subjects:
Data science
Knowledge representation
Machine learning
Online Access:Get full text
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Summary:Three main points: 1. Data Science (DS) will be increasingly important to heliophysics; 2. Methods of heliophysics science discovery will continually evolve, requiring the use of learning technologies [e.g., machine learning (ML)] that are applied rigorously and that are capable of supporting discovery; and 3. To grow with the pace of data, technology, and workforce changes, heliophysics requires a new approach to the representation of knowledge.
ISSN:2331-8422