Shape and motion of big data from a math perspective

Modern society is flooded with data. However, as seen with the black box problem in AI, which learns from vast amounts of data, we are not fully harnessing the true value embedded within it. To effectively use big data, it is crucial to describe the underlying structure using appropriate mathematical language and to apply this language to give meaning to and understand the mechanisms behind phenomena. My research focuses on solving this issue by developing descriptors—mathematical language that focuses on the shape and movement of data, expressing its essential structure—through cutting-edge mathematics and data science techniques. To achieve this, I am pursuing a unified approach that integrates mathematics, data science, and practical applications, aiming to create a new interdisciplinary field, data descriptive science, which transcends the boundaries of traditional academic disciplines.

URL

https://kdb.iimc.kyoto-u.ac.jp/profile_private/en.518f44a04eee41d0.html
https://ashbi.kyoto-u.ac.jp/members/yasuaki-hiraoka/