Akihiro SATO

Aki-Hiro SATO graduated from Tohoku University, Japan in 1997 and received the Doctor of Information Sciences in Graduate School of Information Sciences from Tohoku University, Sendai, Japan, in 2001. He worked with Dr. H. Takayasu and Dr. Y. Sawada on stochastic processes and nonlinear dynamics with applications in financial markets and agent-based modeling during his Ph.D. studies. From 2000 to 2001 he worked as a Doctoral Fellow of Japan Society for the Promotion of Science in Research Institute of Electrical Communication of Tohoku University. From 2001 to 2006, he worked as a Research Associate in Graduate School of Informatics, Kyoto University. He was an Assistant Professor in Graduate School of Informatics, Kyoto University, Kyoto, Japan from 2007 to September 2017. He was a research fellow of Canon Institute for Global Studies from February 2015 to December 2017. He was Project-Specific Associate Professor in Graduate School of Informatics, Kyoto University, Kyoto, Japan from October 2017 to March 2019. He has been a PRESTO Researcher of Japan Science and Technology Agency since October 2015, Project Professor in Yokohama City University since April 2019, and a Guest Professor of Statistical Research and Training Institute, Ministry of Internal Affairs and Communications. A.-H. Sato's research has concerned on issues of microscopic dynamics and statistical properties in complex socio-economic systems. His research methodology is of data-driven investigation which has been recently enabled by development and spread of information and communication technology. From a practical point of view, risk assessment of complex socio-economic systems is of crucial issues to make our decision in actual environments. A.-H. Sato's current interests are in understanding both external and internal environments of our society such as cognitive patterns and collective response to external fields such as financial markets, production-consumption of goods and services driven by demand-supply imbalance, risk assessments under uncertain environments, and so forth. He attempts to shed light on these problems from viewpoints of similarity, causality, and universality. His recent other interests are related to the data-driven system design to rebuild our society from the man-machine point of view.