Open AccessSpace Weather in the Machine Learning Era: A Multidisciplinary Approach
Author(s) -
Camporeale E.,
Wing S.,
Johnson J.,
Jackman C. M.,
McGranaghan R.
Publication year - 2018
Publication title -
space weather
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.254
H-Index - 56
ISSN - 1542-7390
DOI - 10.1002/2017sw001775
Subject(s) - multidisciplinary approach , space weather , space (punctuation) , weather forecasting , weather prediction , computer science , artificial intelligence , space science , center (category theory) , space exploration , meteorology , data science , operations research , geography , engineering , sociology , aerospace engineering , social science , chemistry , crystallography , operating system
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.