Towards the Thought Process of Slope Disaster Prevention in the Digital Era

Reference No.	2023a019
Type/Category	Grant for Supporting the Advancement of Female Researchers-Workshop (I)
Title of Research Project	Towards the Thought Process of Slope Disaster Prevention in the Digital Era
Principal Investigator	Mai Sawada（School of Environment and Society, Tokyo Institute of Technology・Associate Professor）
Research Period	November 18,2023. ～ November 22,2023. November 24,2023. ～ November 25,2023.
Keyword(s) of Research Fields	Numerical modeling, Field monitoring, Interdisciplinary approach, Disaster prediction, Climate change, Diversity
Abstract for Research Report	Slope disasters cause significant loss of human lives and properties damage in the country and overseas, however they are still difficult to predict. Slope disaster prevention is more important than ever as weather is becoming extreme due to climate change. Slope disaster can be predicted based on numerical modeling and field monitoring. Digital techniques such as DX and AI are recently used for slope disaster prediction in combination with theoretical models that express ground deformation and seepage. On the other hand, advances in field monitoring and communication technologies have enabled data acquisition with high accuracy and resolution. A warning sign of slope failure can be read from ground deformation, pore water pressure, water content and temperature. Slope disaster prediction can be achieved by advances in both numerical modeling and field monitoring; monitoring data is necessary to validate numerical models, and the validated numerical models are useful to supplement monitoring data and predict slope behavior. This workshop aims to share state-of-the-art technologies for slope disaster prediction, maintenance and countermeasure based on numerical modeling and field monitoring. Furthermore, we aim to strengthen networks between participants coming from industry, government, academia and various scientific fields such as geotechnical engineering, erosion control engineering, mathematics, informatics and environmental engineering. This workshop promotes cross-sectoral discussions among the participants who have normally weak connections by providing three sessions, namely lecture, panel discussion and networking. This workshop provides the participants a chance to find breakthroughs in research and practice, and build new research teams. Slope disaster prevention cannot be achieved by a single research field or any of industry, government and academia. Essentially, interdisciplinary approaches and industry-government-academia alliances are necessary to approach this issue, however opportunities for cross-sectoral discussions have been limited. This workshop promotes practical utilization of numerical models and monitoring data to protect human lives and properties from slope disaster by providing the participants opportunities for sharing new knowledge and expanding their networks.
Organizing Committee Members (Workshop) Participants (Short-term Joint Usage)	Mai SAWADA（School of Environment and Society, Tokyo Institute of Technology・Associate Professor） Hemanta HAZARIKA（Graduate School of Engineering, Kyushu University・Professor） Masanori MURAI（Shimizu Corporation・Senior Engineer） Yoshifumi KOUCH（K's Lab Inc.・President and CEO） Haruichi KANAYA（Graduate School of Information Science and Electrical Engineering, Kyushu University・Professor） Satoko SEINO（Graduate School of Engineering, Kyushu University・Associate Professor） Hideaki MIZUNO（Graduate School of Agro-environmental Sciences, Kyushu University・Associate Professor） Naoaki SUEMASA（Faculty of Architecture and Urban Design Department of Urban and Civil Engineering, Tokyo City University・Professor） Kazuo MATSUURA（Graduate School of Science and Engineering, Ehime University・Associate Professor） Tomomi NISHI（Faculty of Engineering・Assistant Professor） Bharat V. TADIKONDA（Indian Institute of Technology, Guwahati, India・Professor） Babloo CHAUDHURY（National Institute of Technology, Surathkal, India・Assistant Professor）