CEDAR email: Information Theory and Machine Learning for Geospace Research

[Wing, Simon]

 Papers are invited for a special topical issue of Advances in Space Research (ASR) entitled “Information Theory and Machine Learning for Geospace Research”.

Recent works point to a considerable importance of information theory and machine leaning in Solar and Space Physics; and Space Weather.  We invite contributions of information theory for uncovering relevant yet complex processes interlinking different solar and geospace subsystems, variables and spatio-temporal scales. Furthermore, we solicit contributions of machine learning for space weather forecasting and on open challenges for the community related to the combination of physics-based and machine learning approaches, known as gray box. Studies combining information theory and machine learning in solar and space physics as well as space weather would be of particular interest.

Papers must be submitted electronically to https://www.editorialmanager.com/AISR. To ensure that all manuscripts are correctly identified for inclusion into the special issue, authors must select “Special Issue: Information & ML Geospace” when they reach the "Article Type" step in the submission process. The general format for submission of papers can be found on the ASR Elsevier web site at http://www.journals.elsevier.com/advances-in-space-research/

The deadline for submissions is 31 May 2023.  Papers will be published electronically as soon as they are accepted while the printed issue will be assembled within a reasonable time in regular issues of ASR. All articles will be typeset at no cost to the author. There is a charge for printing color figures; there is no charge for color figures on the electronic version.

Dr. Georgios Balasis (gbalasis at noa.gr<mailto:gbalasis at noa.gr>) and Dr. Simon Wing (Simon.wing at jhuapl.edu<mailto:Simon.wing at jhuapl.edu>) are the Guest Editors for this special issue. Questions can be directed to Drs. Balasis and Wing or to the Co-Editor for Special Issues, Dr. Peggy Ann Shea (sssrc at msn.com<mailto:sssrc at msn.com>).
Simon Wing
240-228-8075
simon.wing at jhuapl.edu<mailto:simon.wing at jhuapl.edu>




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