JpGU-AGU Joint Meeting 2017

Session information

[EJ] Oral

M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI29] [EJ] Data-driven analysis, modeling and prediction in geosciences

Sat. May 20, 2017 9:00 AM - 10:30 AM A01 (Tokyo Bay Makuhari Hall)

convener:Tatsu Kuwatani(Japan Agency for Marine-Earth Science and Technology), Dmitri Kondrashov(University of California, Los Angeles), Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Sergey Kravtsov(University of Wisconsin Milwaukee), Chairperson:Takafumi Niihara(The University Museum, The University of Tokyo), Chairperson:Tatsu Kuwatani(Japan Agency for Marine-Earth Science and Technology)

It 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.

9:45 AM - 10:00 AM

*Peng Hong1, Yuria Watabiki2, Takafumi Niihara3, Hideaki Miyamoto1,2,3,4, Yuki Saito5,6, Kenji Fukumizu5,6 (1.Department of Systems Innovation, Graduate School of Engineering, The University of Tokyo , 2.Department of Complexity Science and Engineering, Graduate School of Frontier Sciences, The University of Tokyo, 3.The University Museum, The University of Tokyo, 4.Department of Earth and Planetary Science, Graduate School of Science, The University of Tokyo, 5.The Graduate University of Advanced Studies, 6.The Institute of Statistical Mathematics)




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