This is a hybrid meeting


This workshop aims to foster Space Weather research through the application of Machine Learning (ML) and statistical techniques by providing the participants with theoretical and practical training on Space Weather and Machine Learning fundamentals, with hands-on tutorials.

The complex and highly coupled Sun-Earth system is constantly being monitored by ground and space-based instrumentation which produces a huge amount of daily data. These datasets, in addition to the increasing computing capability, are regularly used to produce forecasting models and other Space Weather products. In particular, Space Weather data analysis and modeling using ML techniques are showing promising results.

The purpose of the workshop is to give theoretical and tailored practical training on Machine Learning fundamentals, its application to Space Weather and future prospects, covering also important topics like Research to Operations (R2O), explainable Artificial Intelligence (XAI) and trustworthiness and ethics.

Participation

A limited number of grants are available to support the attendance of selected participants, with priority given to participants from Latin America and other developing countries.  There is no registration fee.

Female candidates are encouraged to apply.

Applicants can submit a ‘Research Abstract’. A small number of abstracts may be selected for a contributed talk.

Deadline for Applications:

4 September, 2022 - for participation in presence.

30 September, 2022 - for online attendance only.