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Personal profile

Short bio

Dr Tomomi Kito is a senior scientist with a wide range of research interests and experience. Tomomi received her PhD degree from the University of Tokyo in the field of artificial intelligence. Then she did a postdoctoral fellowship at the Saïd Business School, Oxford University in the UK, where she became more interested in analysing empirical data and developing realistic models of real-world business systems. After that, she has been on the faculty of Japanese universities (2012-: University of Tokyo, 2015-: Tsukuba University, 2018-: Waseda University)and leading her own research groups.

Tomomi's interest covers a broad range of scientific phenomena across many fields. In general, her research takes a mathematical/computational approach to real-world problems. More specifically, she has dealt with issues related to systems engineering, socioeconomic systems (e.g., innovation ecosystems), and business administration/management (primarily supply chain management, corporate strategies, organisational design, innovation management and so on).
As for methodologies, she has knowledge and skills in systems theory, simulation (especially multi-agent simulation), complex network science, and big data analysis.

Throughout her career, Tomomi has been consistently interested in complex relationships among diverse individuals and how "value" (= useful functions, new ideas, etc.) emerges from these relationships for the system as a whole. 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 4 - Quality Education
  • SDG 5 - Gender Equality
  • SDG 8 - Decent Work and Economic Growth
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities
  • SDG 12 - Responsible Consumption and Production
  • SDG 17 - Partnerships for the Goals

Education/Academic qualification

Engineering, Doctorate, University of Tokyo

1 Apr 200431 Mar 2007

Award Date: 22 Mar 2007

Engineering, Master, University of Tokyo

1 Apr 200231 Mar 2004

Skills and expertise

  • Innovation
  • Innovation Management
  • Innovation Measurement
  • Innovation Systems
  • Technological Change
  • Technology Forecasting
  • Strategic Management
  • Strategic Foresight
  • system simulation
  • Systems thinking
  • Complex Systems
  • Complexity Science
  • Complex Networks
  • Social Network Analysis
  • Agent-Based Simulation
  • Simulations
  • Data Analysis
  • Data Science
  • C++
  • Python
  • Machine Learning
  • Text Analytics
  • Production Sytems
  • Open Innovation
  • Operations Management
  • Systemic Risk
  • Organization Science
  • Management and Organization
  • Supply Chain Management
  • Leadership
  • Entrepreneurship
  • Teamwork
  • Patent Data
  • Artificial Intelligence


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