Hiromi M. Yokoyama is a Professor at the University of Tokyo. I am researching the Green AI, AI for Science (AI4S) and climate ethics, policy and public attitude of science and technology (ELSI/RRI), Big science policy and STEM gender.

I became an Science Technology and Society (STS), science policy and Science communication (SC) researcher after Ph.D in particle experimental physics. That is the reason why I belong to Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU) and am the deputy director. I also belong to Center for Data-Driven Discovery (CD3 center) and Graduate School of Interdisciplinary Information Studies (III), UTokyo and students in my lab styding at the department.

I am a Director of Toyota Foundation,Director of National Institution of National Colleges of Technology, Director of Japan Society for the Social Studies of Science and Technology and so on.

Research Gate / Linkedin

Researchmap (List of Papers/ Committees / Books / Interviews / Contributed Articles)

Email:hiromi.yokoyama (a) ipmu.jp　

Welcome, Visiting student & researcher

I welcome visiting students and researchers with the aim of conducting collaborative research. There is also a track record of undergraduate summer internships (Princeton, Harvard, etc.).Please contact me if you are interested.

Leading research projects

Lectures

Main Career

Since I became an associate professor at the University of Tokyo when science communication discussion began in Japan around 2007, I have led discussions on social and science communication, higher education, and large-scale science in Japan. I have contributed to various committees more than 100. Additionally, I currently contributes to Japanese academic societies as a university management advisory council member and a director of a technical college.

Main Prizes

Main papers

Trust in Science:Wang, S., Wang, T., Yokoyama, H.M. et al. Beyond a single pole: exploring the nuanced coexistence of scientific elitism and populism in China. Humanit Soc Sci Commun 12, 353 (2025). https://doi.org/10.1057/s41599-025-04685-3

AI diversity:Ikkatai, Y., Itatsu, Y., Hartwig, T. et al. The relationship between the attitudes of the use of AI and diversity awareness: comparisons between Japan, the US, Germany, and South Korea. AI & Soc (2024).

Big science:Yokoyama, H. M., Akimoto, Y., & Ikkatai, Y. (2023). Big science and society in Japan: Kamiokande series, policy systems and ILC. In Big science in the 21st century: Economic and societal impacts (pp. 48-1 to 48-16).

Inclusive STEM (Summary of 10 papers and the affamative action problem in Japan):Hiromi M. Yokoyama, Yuko Ikkatai, Euan McKay, Atsushi Inoue, Azusa Minamizaki & Kei Kano (2024) Can affirmative action overcome STEM gender inequality in Japan? Expectations and concerns, Asia Pacific Business Review, DOI: 10.1080/13602381.2024.2320547

AI Ethics (AI-ELSI segment)：Ikkatai, Y., Hartwig, T., Takanashi, N. et al. Segmentation of ethics, legal, and social issues (ELSI) related to AI in Japan, the United States, and Germany. AI Ethics (2022). https://doi.org/10.1007/s43681-022-00207-y

AI Ethics (ELSI Score):Hartwig, T., Ikkatai, Y., Takanashi, N. & Yokoyama, H.M. (2022). 'Artificial intelligence ELSI score for science and technology: a comparison between Japan and the US'. AI & Soc.https://doi.org/10.1007/s00146-021-01323-9

AI Ethics (AI-ELSI Octagon measurements)：Y.Ikkatai, T.Hartwig, N.Takanashi & H.M. Yokoyama (2022). 'Octagon Measurement: Public Attitudes toward AI Ethics',International Journal of Human–Computer Interactionhttps://doi.org/10.1080/10447318.2021.2009669

Trust in experts (COVID-19)：Yokoyama HM and Ikkatai Y (2022) Support and trust in the government and COVID-19 experts during the pandemic. Front. Commun. 7:940585. doi: 10.3389/fcomm.2022.940585

Inclusive STEM (Social climate extended model)：Ikkatai, Y., Inoue, A., Minamizaki, A., Kano, K., McKay, E. and Yokoyama, H. M.(2021). ‘Masculinity in the public image of physics and mathematics: a new model comparing Japan and England’. Public understanding of science,https://doi.org/10.1177/09636625211002375

Risk Comm Practice (COVID-19)：Igarashi, Y., Mizushima, N. and Yokoyama, H. M. (2020). ‘Manga-based risk communication for the COVID-19 pandemic: a case study of storytelling that incorporates a cultural context’. JCOM 19 (07), N02. https://doi.org/10.22323/2.19070802.

Scientific advice(Group voice)：Yokoyama, H. (2019). ‘Proposal for group voice: going beyond the limits of one voice and making information provided by scientists available to the public in emergency situations’. In: Environmental contamination from the Fukushima nuclear disaster: dispersion, monitoring, mitigation and lessons learned. Ed. by T. Nakajima, T. Ohara, M. Uematsu and Y. Onda. Cambridge, U.K.: Cambridge University Press, pp. 271–277. https://doi.org/10.1017/9781108574273.

Open science(budget community)：Ikkatai Y., McKay E., & Yokoyama H.M.,(2018). Science created by crowds: a case study of science crowdfunding in Japan. Journal of Science Communication,17(03), A06.

Scientific advice：中谷内一也, 長谷和久, & 横山広美, (2018). 科学的基礎知識とハザードへの不安との関係,心理学研究,89(2),171-178.

Fukushima nuclear power plant accident：Tateno S., Yokoyama H.M. ,(2013). Public anxiety, trust, and the role of mediators in communicating risk of exposure to low dose radiation after the Fukushima Daiichi Nuclear Plant explosion. Journal of Sicence Communication,12(02),A03.

neutrino physics:K2K collaboration "Evidence for muon neutrino oscillation in an accelerator-based experiment." Physical review letters 94.8 (2005): 081802.

neutrino physics:K2K collaboration "Indications of neutrino oscillation in a 250 km long-baseline experiment." Physical Review Letters 90.4 (2003): 041801.