CEDAR email: AMS Annual Meeting: Artificial Intelligence, Machine Learning and Repeatable Science for Space Weather

[Piyush Mehta]

Dear Colleagues,

We will be holding a session on "Artificial Intelligence, Machine Learning
and Repeatable Science for Space Weather" as part of the 18th Conference on
Space Weather. The synopsis for the session is below:

Advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques
present an opportunity to establish and develop a new paradigm for science
and operations in the space weather community. Applications include
identification, classification, modeling and forecasting with quantified
uncertainties. Bridging the gap between the space science and the AI/ML
community is crucial to working with the enormous datasets collected by
space missions. Large, and freely available datasets of in-situ and remote
observations collected over several decades of space missions allow for
space weather to be an ideal application for contemporary AI/ML methods.
Utilizing imagery, geomagnetic indices, particle fluxes, magnetograms, and
more, one can understand more about the complex nature of the coupled
Sun-Earth system. This session welcomes presentations on the advances in
space weather utilizing the nontraditional AI/ML approaches that take into
account the nonlinear and complex dynamics of space weather to improve
classification, identification, and modeling and forecasting with
uncertainty quantification and propagation.

We invite you to submit your contributions to the session. Abstracts are
due Aug 3, 2020 at midnight.

Link for submitting the abstract:
https://annual.ametsoc.org/index.cfm/2021/program-events/conferences-and-symposia/18th-conference-on-space-weather/

We look forward to seeing you there!

Best Regards:

Conveners
Alexander Engell
Piyush M. Mehta
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