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

http://arxiv.org/abs/2212.13325


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.

Read this paper on arXiv…

R. McGranaghan, B. Thompson, E. Camporeale, et. al.
Thu, 29 Dec 22
35/47

Comments: 4 pages; Heliophysics 2050 White Paper