Introduction
Globally there is growing interest in better understanding solar-terrestrial interactions, particularly patterns and trends in space weather. This is not only for scientific reasons, but also because the reliable operation of ground-based and space-based assets and infrastructures is increasingly dependent on their robustness against the detrimental effects of space weather.
The International Space Weather Initiative (ISWI) is a program of international cooperation to advance space weather science by a combination of instrument deployment, analysis and interpretation of space weather data from these instruments in conjunction with space data, and the communication of the results to the public.
The further goal of ISWI is to develop the scientific insights necessary to understand the science, and to reconstruct and forecast near-Earth space weather. This includes instrumentation, data analysis, modelling, education, training, and public outreach.
All achievements of international cooperation and coordination for ISWI, including instrumentation, data analysis, modelling, education, training and public outreach, are made available through the ISWI Newsletter and the ISWI Website ( http://www.iswi-secretariat.org/).
A five-day ISWI workshop will be held in Baku, from 31 October through 4 November 2022. This workshop is being organized by the United Nations Office for Outer Space Affairs in cooperation with the Baku State University. The workshop is supported by the International Committee on Global Navigation Satellite Systems (ICG).
Objectives and expected outcomes
The main objectives of this workshop are to continue efforts in the deployment of instruments in developing nations and interpretation of space weather data; to focus on new research results and findings; and at the same time aim at strengthening international coordination and cooperation on space weather products and services.
The expected outcomes of the workshop will be recommendations for improved collection, exchange and delivery of space weather data, as well as improved operational analysis, modelling and forecasting methods through the promotion of best practices, suggestions of means to improve accuracy, reliability and interoperability.
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