地球科学諸現象の解明と予測には，観測・分析データ中に隠れている本質的な物理化学プロセスや構造を抽出することが重要である．近年，情報科学分野では強力なデータ駆動型情報抽出技術が数多く開発されつつあり，固体地球，宇宙惑星，生命科学や大気海洋など多様な地球科学分野にも適用されつつある．本セッションは，萌芽的な発展段階の研究も含めたデータ駆動による解析・分析の結果及び新規解析手法の発表及び情報・意見交換と，地球科学内外の学際的な研究交流の場を提供する．本セッションでの地球惑星科学データからのプロセスおよび構造抽出やそれらの数理解析に関心を持つ地球科学内外の研究者の議論により，新たな視点での地球科学データ解析手法の導入促進や，数理・情報科学の地球科学データへの応用の更なる加速が期待される．

Extracting fundamental physicochemical processes and structures hidden in observational and analytical data is essential to understanding and predicting the dynamic behavior of the earth and planetary systems. Many powerful data-driven methodologies to extract fundamental information from high-dimensional data sets have recently been developed in mathematical and information sciences and applied to various earth sciences, including solid earth, space and planet, biogeosciences, and atmospheric and hydrospheric sciences. This session aims to provide an opportunity for the presentation of results of data-driven analyses and new data analysis methods, including those in the early stages of development, and for the exchange of information and opinions, as well as for interdisciplinary research exchanges within and outside the earth sciences. Discussions in this session among researchers from a variety of fields who are interested in extracting processes and structures from earth science data and in mathematical analysis of such data will promote the application of data analysis methods to earth science data from new perspectives and further accelerate the application of mathematical and information sciences to earth science.