Hiromi M. Yokoyama is a Professor at the University of Tokyo. I became an Science and Technology Studies (STS), science policy and Science communication (SC) researcher after Ph.D in particle experimental physics. That is the reason why I belong to Kavli IPMU and am the deputy director. I also belong to Graduate School of Interdisciplinary Information Studies (III), UTokyo and students in my lab styding at the department.
Email:hiromi.yokoyama (a) ipmu.jp
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.
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 /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 proposal: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 proposal: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.
Lab member(2024)
Visiting students(2024)
Shuo Wang, Tsinghua University, Ph.D candidate
Hannah,Princeton University
Shawn,Harvard University
Kavli IPMU 16th anniversary(2023)
Kavli IPMU Center for Data-Driven Discovery (CD3)opening ceremony(2023)
K2K/SciFi G.(2004)
2024.5 Wang, S., Kinoshita, S., & Yokoyama, H. M. (2024). Write your paper on the motherland? Accountability in Research, 1–3. https://doi.org/10.1080/08989621.2024.2347398
2024.4 Mayo Clinic Proceedings: Digital Health (letter) Cautions and Considerations in Artificial Intelligence Implementation for Child Abuse: Lessons from Japan, Kinoshita,Yokoyama,Kishimoto
2024.3 Nature review Physics (view point) Generative AI and science communication in the physical sciences
2023.6 Nature (Correspondence) Shotaro Kinoshita & Hiromi Yokoyama, Large language model is a flagship for Japan, Nature 619, 252 (2023), doi: https://doi.org/10.1038/d41586-023-02230-3
Construction of science and technology ethics indicators for advanced science and technology such as AI and genome editing
Why are few women studying mathematics and physics in Japan?