Apology for any cross-posting. This is a reminder that the deadline for the IUGG 2023 abstract submissions is the 14th February 2023.
https://www.iugg2023berlin.org/abstract-submission/
We invite you to participate in the IUGG 2023 (11-20 July 2023, Berlin ) by submitting abstracts to the session:
JA01 Machine Learning in Geo-, Ocean and Space Sciences (IAGA, IAVCEI, IAHS, IASPEI, IAMAS, IAPSO)
https://www.iugg2023berlin.org/922-2/#IAHS
Convener(s): Peter Wintoft (Sweden, IAGA)
Co-Convener(s): Hristos Tyralis (Greece, IAHS), Dave Reusch (USA, IAMAS), Istvan Szunyogh (USA, IAMAS), Fatma Jebri (UK, IAPSO), Gesa Maria Petersen (USA, IASPEI), Silvia Massaro (Italy, IAVCEI)
Description
Modern artificial intelligence (AI), machine learning (ML) and deep learning (DL) techniques are in the process of transforming many different fields of geosciences including for example seismology, the modelling of hydrological systems, space weather studies and oceanography. The progress in the development of ML algorithms combined with the increasing availability of geophysical data and computational power deliver a great promise for transformational advancements with the novel computational techniques. In this joined session, we invite presentations on a broad variety of AI, ML and DL methods, that both, establish new or improve commonly performed data processing, detection, clustering, interpretation, prediction and imaging tasks. In particular, we welcome contributions on the integration of ML techniques to improve the quality of oceanographic, geosciences and space sciences research approaches. The goal of the session is to establish the state of AI, ML and DL across multiple geoscientific fields, and to pave the path forward in taking full advantage of the exciting developments in ML/DL.
For more information on the conference: https://www.iugg2023berlin.org/
We hope to see you there,
Peter, Hristos, Dave, Istvan, Fatma, Gesa and Silvia