AI-ready Data in Solar Physics and Space Science: Concerns, Mitigation and Recommendations
Whitepaper #325 in the Decadal Survey for Solar and Space Physics (Heliophysics) 2024-2033. Main topics: space weather applications; basic research. Additional topics: ground-based missions/projects; space weather research/applications/operations pipeline; solar physics; […]
by B. Poduval, R. L. McPherron, R. Walker, M. D. Himes, K. M. Pitman, A. R. Azari, C. Shneider, A. K. Tiwari, S. Kapali, G. Bruno, M. Georgoulis, O. Verghoglyadova, J. Borovsky, G. Lapenta, J. Liu, T. Alberti, P. Wintoft, S. Wing, and R. Shuping
Published onJul 31, 2023
AI-ready Data in Solar Physics and Space Science: Concerns, Mitigation and Recommendations
Extracting scientific information from the existing huge volumes of space science data without the application of artificial intelligence (AI) is becoming impractical. Preparing these data AI-ready is challenging due to various reasons. This white paper compiles known issues and recommends ways of addressing them efficiently for providing repositories of AI-ready data within the next decade.
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