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RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences Mathematical Social Science Team

Team Director: Yohsuke Murase (Ph.D.)

Research Summary

Yohsuke Murase

Mathematical Social Science Team studies collective social phenomena—such as cooperation, competition, opinion dynamics, and the evolution of norms and institutions—using mathematical approaches. We analyze how individuals, organizations, and nations interact to shape social dynamics, applying tools from evolutionary game theory, network science, and complex systems science.
Our research covers diverse topics. For example, we study social dilemmas, where rational individual choices may lead to undesirable group outcomes. Through such work, we aim to develop a theoretical foundation that contributes to designing more sustainable and resilient societies.

Main Research Fields

  • Mathematical & Physical Sciences

Related Research Fields

  • Complex Systems
  • Social Sciences
  • Interdisciplinary Science & Engineering
  • Applied mathematics and statistics-related

Keywords

  • evolutionary game theory
  • network science
  • computational social science

Selected Publications

  • 1. Yohsuke Murase, Christian Hilbe
    "Indirect reciprocity under opinion synchronization"
    Proceedings of the National Academy of Sciences 121 (48) e2418364121 (2024)
  • 2. Yohsuke Murase, Christian Hilbe
    "Computational evolution of social norms in well-mixed and group-structured populations"
    Proceedings of the National Academy of Sciences 121 (33) e2406885121 (2024)
  • 3. Yohsuke Murase, Christian Hilbe
    "Indirect reciprocity with stochastic and dual reputation updates"
    PLOS Computational Biology 19(7): e1011271 (2023)
  • 4. Yohsuke Murase, Seung Ki Baek
    "Grouping promotes both partnership and rivalry with long memory in direct reciprocity"
    PLOS Computational Biology 19(6): e1011228 (2023)
  • 5. Koji Oishi, Hiroto Ito, Yohsuke Murase, Hiroki Takikawa, Takuto Sakamoto
    "Evolution of global development cooperation: An analysis of aid flows with stochastic block models"
    Plos One, 17(8): e0272440 (2022)
  • 6. Yohsuke Murase, Hang-Hyun Jo, János Török, János Kertész, Kimmo Kaski
    "Deep Learning Exploration of Agent-Based Social Network Model Parameters"
    Frontiers in Big Data, 4, 86 (2021)
  • 7. Yohsuke Murase, Seung Ki Baek
    "Five rules for friendly rivalry in direct reciprocity"
    Scientific Reports, 10, 16904 (2020)

Lab Members

Principal investigator

Yohsuke Murase
Team Director

Core members

Nikoleta Glynatsi
Research Scientist

Contact Information

Main research building,
2-1 Hirosawa, Wako, Saitama
351-0198 Japan
Email: yohsuke.murase@riken.jp

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