This is an informal virtual workshop that was held at the Johns Hopkins University Applied Physics Laboratory (JHU/APL) during September 21-24, 2020. The idea was to bring together a few dozen of experts most interested and involved in the topic. The idea of this meeting was inspired by impressive recent progress in three main disciplines, machine learning (L), data mining (M) and data assimilation (A) and the need to better understand the progress in concurrent research directions within different geospace disciplines to use each other's methods, to combine the results (e.g., to advance Space Weather forecasts) and to find other ways of interaction, synergy and integration.

Questions? mikhail.sitnov@jhuapl.edu