S-CG55

Solid Earth Sciences (S)
Session Sub-category		CG
Session ID		S-CG55
Title		Driving Solid Earth Science through Machine Learning
Short Title		Machine Learning in Solid Earth Sciences
Date & Time
	Oral session	PM1, PM2 Sun, 21 MAY
	On-site poster coretime	PM3 Sun, 21 MAY
	Online Poster session	PM1 Monday, 22 MAY
Main Convener	Name	Hisahiko Kubo
Main Convener	Affiliation	National Research Institute for Earth Science and Disaster Resilience
Co-Convener 1	Name	Yuki Kodera
Co-Convener 1	Affiliation	Meteorological Research Institute, Japan Meteorological Agency
Co-Convener 2	Name	Makoto Naoi
Co-Convener 2	Affiliation	Kyoto University
Co-Convener 3	Name	Keisuke Yano
Co-Convener 3	Affiliation	The Institute of Statistical Mathematics
Session Language		J
Scope		Machine learning (ML) has brought innovations and remarkable results in various science fields including solid earth science. This session provides an opportunity to inspire each other for future developments by bringing studies of ML applications in various fields including solid earth science. We invite a wide range of presentations on ML and related research, from the budding to the more advanced.
Presentation Format		Oral and Poster
Collaboration	Joint with	-
Collaboration	Co-sponsoring Society	-

JpGU Meeting 2023