Multidisciplinary and Interdisciplinary(M)
Session Sub CategoryGeneral Geosciences, Information Geosciences & Simulations
Session IDM-GI29
TitleData-driven analysis, modeling and prediction in geosciences
Short titleData-driven geosciences
Main ConvenerNameTatsu Kuwatani
AffiliationJapan Agency for Marine-Earth Science and Technology
Co-Convener 1NameDmitri Kondrashov
AffiliationUniversity of California, Los Angeles
Co-Convener 2NameHiromichi Nagao
AffiliationEarthquake Research Institute, The University of Tokyo
Co-Convener 3NameSergey Kravtsov
AffiliationUniversity of Wisconsin Milwaukee
ScopeIt is important to extract essential processes and structures from observed datasets in order to understand and predict the dynamic behavior of the earth and planetary systems. Recently, powerful data-driven methodologies have been proposed to extract, model and predict useful information contained in high-dimensional datasets that are ubiquitous in earth and space. This session aims to provide an opportunity to highlight recent advances in such data-driven techniques across disciplines and to have a productive discussion for interdisciplinary collaborations.
Type of presentationOral and Poster presentation
Invited authors Christian Franzke(University of Hamburg)
Dmitry Mukhin(Institute of Applied Physics of Russian Academy of Sciences)
Boyko Dodov(Air Worldwide)
Masato Okada (University of Tokyo)