Research Theme

Politics & Government

Japanese Politics
Political Institutions
Political and Diplomatic History

Economy

Macroeconomics, Economic Policy
Structural Reform
Intergenerational Issues
Industry, Business, Technology
Industry, Business, Technology
Fiscal Policy & Social Security
Tax & Social Security Reform
International Taxation
International Economy
Chinese Economy
Population, Land, Resources
Abandoned Land
Resources & Energy
Maritime Resources

Society

Comparative and Area Studies
American Politics

Other

Other

Type

Keyword

US politics trade war abandoned land land policy depopulation social security politics fishery resources sustainability capitalism future design bureaucracy CSR employment tax

Experts

Takafumi Nakanishi

  • SENIOR DATA SCIENTIST

Associate Professor, Faculty of Data Science, Musashino University

Senior Researcher, Center for Global Communications, International University of Japan

Visiting Professor, Digital Hollywood University

Areas of Expertise

  • Data mining
  • data analysis system
  • integrated database
  • sensitivity information processing
  • media content analysis

Research Unit

Politics & Economy

Projects

Political Risk Analysis (2016–)

Bio

Received his PhD from the Graduate School of Systems and Information Engineering, University of Tsukuba. Was engaged as a researcher in R&D at the Knowledge Cluster system of the National Institute of Information and Communications Technology (2006–14). Was an associate professor and senior researcher at the Center for Global Communications, International University of Japan (2014–18). Concurrently serves as a member of the AI Network Society Promotion Conference of Japan’s Ministry of Internal Affairs and Communications (2016–). Was a member of the Study Group on the Utilization and Application of Information in the Distribution and Logistics Field, Japan’s Ministry of Economy, Trade and Industry (2015–16).


Publications

  1. Okada, T. Nakanishi, Y. Tanaka, Y. Ogasawara, and K. Ohashi, “A Visualization Method of Relationships among Topics in a Series of Meetings,” Information Engineering Express Journal, vol.3, no.4 (2017), p.115–24.
  2. Okada, T. Nakanishi, Y. Tanaka, Y. Ogasawara, K. Ohashi, “A Topic Structuration Method on Time Series for a Meeting from Text Data,” In R. Lee (ed), Studies in Computational Intelligence, Springer, Cham, vol. 721 (2017), pp. 45-59.

“A Feature Selection for Comparison among Each Concept and its Visualization,” ACIS International Journal of Computer & Information Science, vol.17, no.1 (2016).

“A Discovery Method of Anteroposterior Correlation for Big Data Era, Software Engineering,” In R. Lee (ed), Studies in Computational Intelligence, Springer, Cham, vol. 569, pp. 161–77.

“A Data-Driven Axes Creation Model for Correlation Measurement on Big Data Analytics,” Information Modelling and Knowledge Bases XXVI, IOS Press, pp. 308–23 (2014).