Researcher's Profile

April 1986	Ministry of International Trade and Industry
August 1995	Economist, Directorate for Science, Technology and Industry, OECD
June 1998	Deputy Director, Ministry of Economy, Trade and Industry
April 2002	Associate Professor, Instute of Innovation Research Hitotsubashi University
January 2004	Associate Professor, RCAST, UTokyo
May 2006	Professor, RCAST, UTokyo
July 2006	Professor, School of Engineering, UTokyo
February 2019	Professor, RCAST, UTokyo

Scientification of Economy: Co-evolution of Science and Innovation and Ecosystem Formation

Scientific foundation becomes more and more important for industrial innovation process. The genome science has changed its R&D process substantially and concurrent progress of academic research and its industrialization (innovation) occurs in AI and robotics field (scientification of economy). We are conducting empirical research on science and innovation coevolution, by using large bibliometric datasets (patents, research articles) and economic statistics. The results of our analysis are inputted to actual policy formation in relevant ministries. The concrete research theme includes
・Co-evolution of science and innovation: New role of university and policy implications to effective industry collaborations
・Economic analysis of AI/Big Data/IoT, analysis of platform business and innovation ecosystem
・Regional innovation ecosystem: Case studies of Silicon Valley and Shenzhen
・Global competition in science innovation (vs. US and China)


Big Data Analytics for Empirical Innovation Research

We are also conducting the research on database construction and new methodologies of technology forecasting, based on bibliometric information (research articles and patents). Advanced computer science techniques (such as deep neural network) are used for natural language processing in multi lingual environment (Chinese, English, Thai as well as Japanese).