Space Weather in the Machine Learning Era: A Multidisciplinary Approach
The workshop entitled Space Weather: A Multidisciplinary Approach took place at the Lorentz Center, University of Leiden, Netherlands, on 25–29 September 2017. The aim of this workshop was to bring together members of the Space Weather, Mathematics, Statistics, and Computer Science communities to address the use of advanced techniques such as Machine Learning, Information Theory, and Deep Learning, to better understand the Sun‐Earth system and to improve space weather forecasting. Although individual efforts have been made toward this goal, the community consensus is that establishing interdisciplinary collaborations is the most promising strategy for fully utilizing the potential of these advanced techniques in solving Space Weather‐related problems.
Space Weather-the International Journal of Research and Applications
Engineering and Computer Science
Johnson, Jay; Camporeale, Enrico; Wing, Simon P.; Jackman, C. M.; and McGranaghan, R., "Space Weather in the Machine Learning Era: A Multidisciplinary Approach" (2018). Faculty Publications. 612.