Registration for ESWW 2021 is now closed.
Conveners: Enrico Camporeale (University of Colorado/NOAA Space Weather Prediction Center) and Giovanni Lapenta (Katholieke Universiteit Leuven)
The science of 'making predictions' has been historically based on statistical inference (e.g., frequentist, Bayesian, information criterion-based) and, more recently, on machine learning techniques.
Entire disciplines, such as system identification, data assimilation, information theory, deep learning and uncertainty quantification, have proliferated in the attempt to improve our ability to extract information from data and build predictive models.
This session is devoted to contributions to Space Weather specification and prediction that use innovative, multidisciplinary, and, perhaps, unconventional approaches.
Final Registration deadline:
Final Online Registration deadline: