• ●Establishing “Data-centric Geotechnics” and developing mechanisms for its practical implementation

This research aims to establish and systematize a new academic discipline, Data-centric Geotechnics, which enables rational decision-making in geotechnical engineering based on data and machine learning. At the same time, the project will develop mechanisms to disseminate this new concept into both higher education and engineering practice.

Specifically, the project will:

• 1.Systematize the field by organizing and integrating data science and machine learning technologies currently being applied to geotechnical engineering worldwide, thereby establishing Data-centric Geotechnics as a formal academic discipline.
• 2.Develop educational resources by publishing a new Japanese-language textbook on Data-centric Geotechnics to serve as a modern alternative to traditional soil mechanics and geotechnical engineering textbooks. In collaboration with the Japan Society of Civil Engineers and the Japanese Geotechnical Society, the project will also offer training and workshops to cultivate human resources.
• 3.Promote updates to design standards by working with design code writers and the National Institute for Land and Infrastructure Management (NILIM) to incorporate cutting-edge research findings into engineering design codes. The project will also promote the transition from conventional design standards to those that assume the use of data and machine learning, through outreach activities including seminars and workshops.

Features

• ●Utilize underused data in practice to achieve economical and safe design of geotechnical structures
• ●Establish a new academic discipline of geotechnical engineering based on data utilization, termed Data-centric Geotechnics

Features

• ●Publish a new Japanese-language textbook on Data-centric Geotechnics to serve as a modern alternative to conventional soil mechanics and geotechnical engineering textbooks
• ●Collaborate with relevant academic societies to foster human resource development through seminars and workshops on Data-centric Geotechnics
• ●Promote the update of current design standards to those based on data and machine learning by working with code writers and conducting outreach through seminars and workshops