Mathematical Modelling and Simulation for Social, Environmental, and Disaster Prevention Issues TRACK NUMBER SHINOBU YOSHIMURA 1, DAIGORO ISOBE 2, HIDEKI FUJII 1 AND EISUKE KITA 3 1 University of Tokyo, Hongo, Tokyo 113-8456, Japan 2 Tsukuba University, Tsukuba 305-8577, Japan 3 Nagoya University, Nagoya 464-8601, Japan * Email: kita@i.nagoya-u.ac.jp Keywords: Mathematical Modelling, Computer Simulation, Structural Engineering, Fluid Engineering, Machine Learning, Traffic Engineering, Environmental problem, Disaster prevention, Agriculture, Economic problem ABSTRACT Large -scale disasters have a great influence on social infrastructure such as buildings and roads, and also change the industrial structure of agriculture. The issues related to society, environment, and disaster prevention are large -scale and complex phenomena. To analyse these phenomena, it is necessary to simultaneously develop the mathematical modelling and simulation technique at the same time. In particular, the progress of machine learning methods is remarkable. These techniques also have a new solution to the problem handled in this session. This session is planned to exchange opinions on modelling methods and simulation methods by related researchers. We will expect a large number of researchers who are interested in the related fields.