[{"content":" Email: s.muniver19@gmail.com GitHub: github.com/musugi ","date":null,"permalink":"https://musugi.github.io/web-page-mu/contact/","section":"Hiromu Sugiyama","summary":"","title":"Contact"},{"content":" Download CV (PDF) Education # M.A. in Public Policy, Certificate in Research Methods (MACRM) — University of Chicago (Sep 2024 – Dec 2025) B.S. in Human-Centered Design Engineering (HCDE) — University of Washington (Sep 2020 – Jun 2024) Employment # Analytical Engineer — VETA Inc., Tokyo, Japan (May 2026 – Present) Research Assistant — Waseda Institute of Political Economy (WINPEC), Tokyo, Japan (May 2026 – Present) Research Experience # Research Apprentice, University of Chicago (Advisor: Prof. Alexander Fouirnaies) — Apr 2025 – Dec 2025 Research Assistant, University of Washington (Mentor: Sourojit Ghosh, PhD) — Sep 2023 – Jun 2024 Skills # Languages: Japanese (native), English (fluent) Programming: Python, R, HTML/CSS, Java, SQL For full details, see the downloadable PDF above.\n","date":null,"permalink":"https://musugi.github.io/web-page-mu/cv/","section":"Hiromu Sugiyama","summary":"","title":"CV"},{"content":"My research centers on political accountability, voting systems, and the use of conjoint experiments to study political behavior. I am especially interested in how bureaucrats are held accountable, how multiple equilibria can arise in political institutions, and how formal and quantitative methods — from causal inference to survey experiments — can be applied to questions of governance and elections.\nPlease reach out to collaborate 😃\n","date":null,"permalink":"https://musugi.github.io/web-page-mu/","section":"Hiromu Sugiyama","summary":"","title":"Hiromu Sugiyama"},{"content":"","date":null,"permalink":"https://musugi.github.io/web-page-mu/posts/","section":"Post","summary":"","title":"Post"},{"content":" Statistical Summer Seminar, Japan, 2026 ","date":null,"permalink":"https://musugi.github.io/web-page-mu/presentations/","section":"Hiromu Sugiyama","summary":"","title":"Presentations"},{"content":"Research Interests #Conjoint experiments, bureaucratic accountability, voting systems, multiple equilibria, sanctions.\nWorking Papers #Using Conjoint for Voting Advice Applications #with Teppei Yamamoto, Airo Hino, Yuto Kitano, Rob Fahey, Taketo Hara\nVoting advice applications (VAAs) typically ask voters about individual policy issues and compute match scores with parties or candidates using additive, often arbitrarily weighted formulas. This approach ignores interactions between issues and can invite socially desirable responding on sensitive topics such as gender and ethnicity. We propose a conjoint-based VAA that instead presents voters with bundled policy packages and asks which hypothetical party or candidate they would support, capturing both the direction and intensity of preferences (Bansak et al. 2023) while drawing on established conjoint analysis methods. The central challenge is producing an individual match score immediately after a single round of responses, without the repeated-choice data typical conjoint analysis relies on. We develop a new algorithm that computes a voter\u0026rsquo;s proximity to policy bundles from their own conjoint responses alone, and show via simulation that it is simple, fast, and scalable. We implement it for Japan\u0026rsquo;s national elections in July 2025 and February 2026.\n","date":null,"permalink":"https://musugi.github.io/web-page-mu/research/","section":"Hiromu Sugiyama","summary":"","title":"Research"},{"content":"","date":null,"permalink":"https://musugi.github.io/web-page-mu/tags/","section":"Tags","summary":"","title":"Tags"}]