Sun. May 22, 2022 9:00 AM - 10:30 AM 102 (International Conference Hall, Makuhari Messe)

convener:Hisahiko Kubo(National Research Institute for Earth Science and Disaster Resilience), convener:Yuki Kodera(Meteorological Research Institute, Japan Meteorological Agency), Makoto Naoi(Kyoto University), convener:Keisuke Yano(The Institute of Statistical Mathematics), Chairperson:Masaru Nakano(Japan Agency for Marine-Earth Science and Technology), Shinya Katoh(Disater Prevention Research Institute, Kyoto University), Hisahiko Kubo(National Research Institute for Earth Science and Disaster Resilience)

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 especially welcome studies that have led to the discovery of phenomena and theories in solid earth science. We also look forward to studies on the black box problem of AI and efforts toward explainable AI.