ISS: Research Staff: KATSUMATA, Hiroto

Institute of Social Science The University of Tokyo

the University of Tokyo

MENU

People

Research Staff

KATSUMATA, Hiroto

Division Department of Comparative Contemporary Politics  
Research Fields Political methodology (causal inference); Comparative politics
E-mail

katsumataiss.u-tokyo.ac.jp

Personal Website

https://sites.google.com/site/hirotokatsumata

Teaching and Research Appointments

April 2024- Associate Professor, Institute of Social Science, The University of Tokyo
April 2023-
March 2024
Associate Professor, Graduate School of Social Data Science, Hitotsubashi University
April 2020-
March 2023
Project Lecturer, Graduate School of Arts and Sciences, The University of Tokyo
September 2019-
March 2020
Project Assistant Professor, Department of Data Science, Yokohama City University
September 2017-
July 2019
Post-doctoral Researcher, Political Methodology Lab, Massachusetts Institute of Technology
September 2017-
July 2019
Visiting Postdoctoral Researcher, Department of Political Science, Massachusetts Institute of Technology
April 2017-
August 2019
Research Fellow (PD), Japan Society for the Promotion of Science
April 2014-
March 2017
Research Fellow (DC1), Japan Society for the Promotion of Science
March 2017 PhD, The University of Tokyo
March 2014 MA, The University of Tokyo
March 2012 BA, The University of Tokyo

Topics of Research

1Unifying machine learning predictions into statistical analysis

2Causal inference integrating real-world complexities

3Institutional design through understanding human behavior

Selected Publications

  • "How Should We Estimate Inverse Probability Weights with Possibly Misspecified Propensity Score Models?" Conditionally accepted at Political Science Research and Methods.
  • "'Kick Them Out' as a Voting Strategy: Theory and Evidence from Multi-member District Elections." (with Shunya Noda) Conditionally accepted at Journal of Politics.
  • "Young Citizens' Civic Engagement and Civic Attitudes: A Regression Discontinuity Analysis." (with Yusaku Horiuchi and Ethan Woodard) 2023. Political Behavior 45: 265--284.
  • "Mobile Health Technology as a Solution to Self-Control Problems: The Behavioral Impact of COVID-19 Contact Tracing Apps in Japan." (with Masahiro Shoji, Susumu Cato, Takashi Iida, Kenji Ishida, Asei Ito, and Kenneth Mori McElwain) 2022. Social Science and Medicine 306: 115142.
  • "Vaccination and Altruism under the COVID-19 Pandemic." (with Susumu Cato, Takashi Iida, Kenji Ishida, Asei Ito, Kenneth Mori McElwain, and Masahiro Shoji) 2022. Public Health in Practice 3: 100225.
  • "Nomination Strategies under the Single Non-transferable Vote System." 2021. Japanese Journal of Electoral Studies. 37(1): 72--85.
  • "Social Media Infodemics and Social Distancing under the COVID-19 Pandemic: Public Good Provisions under Uncertainty." (with Susumu Cato, Takashi Iida, Kenji Ishida, Asei Ito, Kenneth Mori McElwain, and Masahiro Shoji) 2021. Global Health Action 14(1): 1995958.
  • "Prosociality and the Uptake of COVID-19 Contact Tracing Apps: Survey Analysis of Intergenerational Differences in Japan." (with Masahiro Shoji, Asei Ito, Susumu Cato, Takashi Iida, Kenji Ishida, and Kenneth Mori McElwain) 2021. JMIR Mhealth Uhealth 9(8).
  • "The Bright and Dark Sides of Social Media Usage during the COVID-19 Pandemic: Survey Evidence from Japan." (with Susumu Cato, Takashi Iida, Kenji Ishida, Asei Ito, Kenneth Mori McElwain, and Masahiro Shoji) 2021. International Journal of Disaster Risk Reduction 54.
  • "Party Competition under the Single Non-transferable Vote System." 2020. The Annuals of Japanese Political Science Association 2020 (1): 368--392.
  • "Quantifying the Discrepancy between Real-world Data and Theoretical Predictions in a Theory of Strategic Voting." 2020. Japanese Journal of Electoral Studies 36 (1): 91--103.
  • "Analysis of Candidate-level Proximity Voting with Comparable Positions of Voters, Politicians, and Parties." 2016. The Annuals of Japanese Political Science Association 2016 (1): 208--232.

Educational Activities

Faculty of Law, The University of Tokyo Causal Inference
TOP