Fellow Researchers Profile

Mariko ITO

Mariko ITO

Research Fellow

Project Lecturer, Institute of Industrial Science, The University of Tokyo

Expertise

  • Financial Data Analysis, Collective Decision-Making

Profile

Education

2018.09 Ph.D. from Department of Evolutionary Studies of Biosystems, Five-year Doctoral Course, School of Advanced Sciences, SOKENDAI (The Graduate University for Advanced Studies)

Career

2026.04- Resaerch Fellow, The Canon Institute for Global Studies
2024.04- Project Lecturer, Institute of Industrial Science, The University of Tokyo
2022.04-2024.03 Project Research Associate, Institute of Industrial Science, The University of Tokyo
2020.04-2022.03 Assistant Professor, Graduate School of Artificial Intelligence and Science, Rikkyo University
2019.04-2020.03 Project Researcher, Graduate School of Information Science and Technology, Social ICT Research Center, The University of Tokyo
2018.10-2019.03 Postdoctoral Fellow, School of Advanced Sciences, SOKENDAI (The graduate university for advanced studies)

Papers

  • Mariko I. Ito, Yudai Honma, Takaaki Ohnishi, Tsutomu Watanabe, Kazuyuki Aihara, “Exogenous and endogenous factors affecting stock market transactions: A Hawkes process analysis of the Tokyo Stock Exchange during the COVID-19 pandemic”, PLOS ONE, 19, e0301462, April 2024.
  • Mariko I. Ito, Akira Sasaki, “Casting votes of antecedents play a key role in successful sequential decision-making”, PLOS ONE, 18, e0282062, December 2023.
  • Saki Saito, Mariko I. Ito, Takaaki Ohnishi, “Fluctuations in the Number of Stores by Industry During the COVID-19 Pandemic Based on Japanese Phone Book Entries”, The Review of Socionetwork Strategies, 16, pp. 545-557, October 2022.
  • Kazuki Koyama, Mariko I. Ito, Takaaki Ohnishi, “Fluctuation in Grocery Sales by Brand: An Analysis Using Taylor’s Law”, The Review of Socionetwork Strategies, 16, pp. 417-430, September 2022.
  • Taizo Horikomi, Mariko I. Ito, Takaaki Ohnishi, “ID-POS Data Analysis Using TV Commercial Viewership Data”, The Review of Socionetwork Strategies, 16, pp. 431-451, September 2022.
  • Mariko I. Ito, Takaaki Ohnishi, “Co-occurrence network of TV advertisements revealing Japanese lifestyle”, Applied Network Science, 6(1), 52, July 2021. 
  • Mariko I. Ito, Takaaki Ohnishi, “Uncovering the Image Structure of Japanese TV Commercials Through a Co-occurrence Network Representation”, In: Benito R.M., Cherifi C., Cherifi H., Moro E., Rocha L.M., Sales-Pardo M. (eds) Complex Networks & Their Applications IX. COMPLEX NETWORKS 2020. Studies in Computational Intelligence 943, pp. 273-283, December 2020. 
  • Mariko I. Ito, Sadato Yamanaka, Takeshi Aoyagi, Takaaki Ohnishi, “Quantification of microphase separated structures from the viewpoint of multifractal”, Proceedings of the 2020 International Symposium on Nonlinear Theory and its Applications (NOLTA2020), pp. 480-483, November 2020
  • Mariko I. Ito, Takaaki Ohnishi, “Evaluation of the Heterogeneous Spatial Distribution of Population and Stores/Facilities by Multifractal Analysis”, Frontiers in Physics, 8, 291, August 2020.
  • Mariko I. Ito, Takaaki Ohnishi, “Weighted Network Analysis for Computer-Aided Drug Discovery”, In: Czarnowski I., Howlett R., Jain L. (eds) Intelligent Decision Technologies. IDT 2020. Smart Innovation, Systems and Technologies, 193, pp. 27-36, June 2020.
  • Mariko I. Ito, Takaaki Ohnishi, “Fractal Patterns in Spatial Distribution of Population by Age Group”, arXiv:2005.03935, May 2020.
  • Mariko I. Ito, Hisashi Ohtsuki, Akira Sasaki, “Emergence of opinion leaders in reference networks”, PLOS ONE, 13(3), e0193983, March 2018.