Policy Research on Science and Technology
Motohashi Laboratory
Data Analytics to Understand Innovation Dynamics and Applications to Science and Technology Policy Making
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 and platform business
- Global competition in science innovation (vs. US and China) and regional innovation ecosysytem (Silcon Valley, Shenzhen)
Emprical research on science, technology and innovation policy
- International R&D collaboration
- Interactions of IPR and competition policy
- Public research funding and open science
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).
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Framework of science, technology and industry indicator
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Regional innovation ecosystem in Shenzhen
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Technology mapping for characterizing university inventions (natural language process of patent documents)
Member
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- Professor
Kazuyuki MOTOHASHI
Specialized field: Technology Management Strategy, Global Business Strategy, Science and Technology Policy, Bibliometrics - Professor
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