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).

Column
After working as a government official at METI（Minitry of Economy, Trade and Industry), I moved to an academic in 2002. Since them, I have been involved with variety of research project on science and technology policy. My approach for the research is exploring scientific understanding on innovation activities, i.e., managing technology and market risk of new product/service development. For this scientific approach to innovation studies, please refer to the following youtube video.

https://www.youtube.com/watch?v=bDUVif7I7ro

Member

• 
• • Professor
    Kazuyuki MOTOHASHI
  Research Area: Technology Management Strategy, Global Business Strategy, Science and Technology Policy, Bibliometrics

• 
• • Research Associate　Mohamed Amir HAZEM

• 
• • Research Associate　Huiheng LIN

Laboratory Homepage