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Extracting hidden structures and fundamental processes from geoscience data using modern data analysis methods, including machine learning techniques, is essential for gaining a new understanding of the dynamic behavior of the Earth and planetary systems. Various powerful analytical methods and data-driven methodologies have recently been developed in statistical and information sciences to extract fundamental information from high-dimensional data sets. These methods have been applied to various earth sciences, including solid earth, space and planetary sciences, biogeosciences, and atmospheric and hydrospheric sciences. This session aims to provide an opportunity to present results and findings from the analysis of earth and planetary data, as well as to introduce new data analysis methods, including those in the early stages of research. We welcome the interdisciplinary discussions within and outside the earth sciences in this session. We expect that discussions in this session will facilitate the application of cutting-edge data analysis to earth science data, thereby further accelerating the integration of mathematical and information sciences into earth science.
This session will be held in Japanese to promote interdisciplinary discussions among researchers from various fields, both within and outside of geoscience, including statistical discussions and problem setting in individual geoscience fields. Presentations and discussions can be conducted in either Japanese or English. Presentation materials must include English (Japanese text may be accompanied). We welcome participation of non-Japanese speakers in this session.