Atsushi Ueshima is working as an assistant professor at Keio University. He received a PhD in Social Psychology from The University of Tokyo in 2021. In his PhD research, he conducted a series of laboratory and online experiments to understand the psychological bases of inequality aversion and distributive justice. He uses methods from psychology, sociology, and computational social science.
社会心理学が専門分野です。実験室実験やオンライン実験、自然言語データを用いて、不平等や貧困に対して働く心理・意思決定について研究してきました。社会心理学に加えて、社会学や計算社会科学の発想を研究に取り入れています。
広く使っていただける実験・調査等の参加者募集サイトを管理しています。
Publications
Article
[preprint] Ueshima, A., Omidshafiei, S., & Shirado, H. (2023). Deconstructing cooperation and ostracism via multi-agent reinforcement learning. [link]
Ueshima, A. & Takikawa, H. (2022). Analyzing vaccination priority judgments for 132 occupations using word vector models. In IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT '21). Association for Computing Machinery, 76–82. [pdf, preprint (pdf), data and code]
[preprint] 仲間大輔・池田功毅・上島淳史・齋藤慈子・平石界. (2022). 心理学研究のためのオンライン数学ワークショップの試み. [link]
小谷侑輝・齋藤美松・金惠璘・小川昭利・上島淳史・亀田達也. (2021). 分配の正義とリスク下の意思決定: 効用モデルと瞳孔反応による検討. 社会心理学研究, 37(1), 26-35. [pdf, data]
Ueshima, A. & Kameda, T. (2021). Reducing variance or helping the poorest? A mouse tracking approach to investigate cognitive bases of inequality aversion in resource allocation. Royal Society Open Science, 8: 201159. [pdf, data]
Ueshima, A., Mercier, H., & Kameda, T. (2021). Social deliberation systematically shifts resource allocation decisions by focusing on the fate of the least well-off. Journal of Experimental Social Psychology, 92, 104067. [pdf, data]
Saito, Y., Ueshima, A., Tanida, S., & Kameda, T. (2019). How does social information affect charitable giving?: Empathic concern promotes support for underdog recipient. Social Neuroscience, 14 (6), 751-764. [pdf]
Ogawa, A., Ueshima, A., Inukai, K., & Kameda, T. (2018). Deciding for others as a neutral party recruits risk-neutral perspective-taking: Model-based behavioral and fMRI experiments. Scientific Reports, 8, 12857. [pdf]
上島淳史・亀田達也. (2017). 資金獲得に伴う不確実性は他者のためのリスク選択に影響するか. 心理学研究, 88 (4), 383-389. [pdf]
Book chapter
Takikawa, H., Ueshima, A. (2024). Model of Meaning. In: Sato, Y., Takikawa, H. (eds) Sociological Foundations of Computational Social Science. Translational Systems Sciences, vol 40. Springer, Singapore. https://doi.org/10.1007/978-981-99-9432-8_5
Encyclopedia chapter
Presentations
Invited talks
上島淳史. (2024). どのような資源分配原理が合意の共通基盤となり得るか：行動実験によるアプローチ. 第４回合意と共創研究会（札幌, リンク）
Ueshima, A. (2023). Bots with simple natural language knowledge can enhance collective intelligence in experimental human groups. in Asian Advanced Workshop on Social Decision Making and Collective Intelligence - 2023 (Tokyo, Talk, Program)
上島淳史. (2023). 限られた資源をいかに分けるか：分配の意思決定への実験によるアプローチ. 慶應義塾大学文学部人間科学専攻／三田哲学会講演会（東京, リンク）
上島淳史. (2021). 社会的分配の意思決定に対して他者の職業が与える影響：自然言語処理を用いたアプローチ. 玉川大学脳科学研究所講演会（オンライン）
Ueshima, A. (2021). Social deliberation increases attention to the fate of the least well-off more than to inequality per se in third-party allocation decisions. in The 14th Biennial Conference of the Asian Association of Social Psychology
(Online; Seoul, Talk)
上島淳史. (2021). 最不遇者への配慮を基軸とした分配的正義の実現可能性. 第27回KG-RCSPセミナー／第39回政治コミュニケーション研究会 (オンライン, リンク)
Ueshima, A., Mercier, H. & Kameda, T. (2019). Group Discussion Clarifies the Difference between Maximin and Egalitarian Allocations in Third-party Distributive Decisions: Laboratory Tests on Distributive Justice. in NTU-UT Joint Research Workshop on Experimental Social Sciences (Tokyo, Talk, Link)
Ueshima, A., & Kameda, T. (2019). Sequential group decision-making under naturalistic risk: An experimental study. in The 23rd Experimental Social Science Conference (Tokyo, Talk, Link)
Talks and posters
上島淳史・瀧川裕貴. (2023). 単語ベクトルを用いたワクチン分配優先度評定の予測ー職業に注目した探索的研究ー. 日本心理学会第87回大会（神戸国際展示場、ポスター）
上島淳史・瀧川裕貴. (2023). ２つの分配が独立に評価されない状況の探索. 日本社会心理学会第64回大会（上智大学、ポスター）
Ueshima, A. (2022). Relaxing idea correlation using autonomous agents: Network experiment with natural language processing. Human Nature Lab (Yale University)
Ueshima, A. & Takikawa, H. (2021). Analyzing Vaccination Priority Judgments for 132 Occupations Using Word Vector Models. IEEE/WIC/ACM International Conference on Web Intelligence on - WI '21 Companion (link)
上島淳史・瀧川裕貴. (2021). ワクチン分配の職業別優先度に関する評定の予測ー意味空間モデル（word embedding）を用いた探索的研究ー. 数理社会学会第71回大会（岩手県立大学（オンライン）、ポスター）
上島淳史・瀧川裕貴. (2021). 自他間の資源分配における不平等回避が他者の職業によって影響されるメカニズムの検討ー効用モデルと意味空間モデル（word embedding）によるアプローチ ー. 日本心理学会第85回大会（名星大学（オンライン）、ポスター）
上島淳史・亀田達也. (2019). Naturalistic riskに対する⼆者の協働メカニズムの実験的検討. 日本人間行動進化学会第12回大会（東京、ポスター）
Ueshima, A. & Kameda, T. (2019). Deliberation Enhances Endorsements of the “Maximin” Allocation (as Opposed to the Egalitarian Allocation) in Third-party Distributive Decisions. in Society for Judgment and Decision Making The 2019 40th Annual Conference (Montreal, Poster)
上島淳史・亀田達也. (2019). 資源分配についての議論は不平等よりも不遇へ注意を向けさせるか. 日本社会心理学会第60回大会（東京、口頭）
Ueshima, A. & Kameda, T. (2019). Group Discussion Clarifies the Difference between Maximin and Equality Principles in Social Distribution for Others. in CogSci 2019 (Montreal, Poster)
上島淳史・亀田達也. (2019). いかにして資源を分けるべきか？─分配的正義をめぐる会話データのモデリング─ . 日本行動計量学会第47回大会（大阪、口頭）
Ueshima, A. & Kameda, T. (2018). What Am I Supposed to Say?: Anticipating Group Discussion Promotes Cognitive Consistency in Distributive Choices for Others. in CogSci 2018 (Madison, Poster)
その他の発表はこちらをご覧ください。
CV
Education
PhD in Social Psychology, 2021 (University of Tokyo)
MA in Social Psychology, 2018 (University of Tokyo)
BA in Sociology, 2016 (University of Tokyo)
Professional position
April 2024 - Assistant Professor at the Department of Human Sciences, Faculty of Letters, Keio University
August 2022 - July 2023: Postdoctoral Associate at the Department of Sociology, Yale University
April 2021 - March 2024: Postdoctoral Research Fellow of the Japan Society for the Promotion of Science (Tohoku University, Japan)
April 2018 - March 2021: Doctoral Course Research Fellow of the Japan Society for the Promotion of Science
Teaching Experience
"Machine learning and generative models," The Summer Institute in Computational Social Science (SICSS-Tokyo, Faculty), Summer, 2023 (in English)
"Automated text analysis in computational social science" and "Ethics in computational social science," The Summer Institute in Computational Social Science (SICSS-Tokyo, Teaching Assistant), Summer, 2022 (in English)
"Automated text analysis in computational social science" and "Ethics in computational social science," The Summer Institute in Computational Social Science (SICSS-Tokyo, Teaching Assistant), Summer, 2021 (in English)
"Seminar in Social Psychology," Undergraduate class (Teaching Assistant), The University of Tokyo, Fall 2020 (in Japanese)
“Statistics in Psychology,” Undergraduate class (Teaching Assistant), The University of Tokyo, Fall 2019 (in Japanese)
“Statistics in Psychology,” Undergraduate class (Teaching Assistant), The University of Tokyo, Fall 2016 (in Japanese)
Skills
Data analysis using Python (PyTorch) and R (Rstan)
Group online experiment using Breadboard (Vue.js + Java)
Psychology experiments using PsychoPy and jsPsych
Multi-agent deep reinforcement learning using Acme (Python, Jax)
Honors and Grants
Grant-in-Aid for Early-Career Scientists, 2024-2025 (3,600,000-yen)
Honorable Paper Award, The Japanese Society of Social Psychology, 2022
Excellent Presentation Award, The Japanese Psychological Association, 2021
Research Fellow of the Japan Society for the Promotion of Science for Young Scientists (PD), 2021-2024 (4,000,000-yen)
Excellent Presentation Award, The Japanese Psychological Association, 2019
Poster Award, Experimental Social Science Conference, 2018
Poster Award, Association of Behavioral Economics and Finance, 2018
Young Scientist Poster Award, Human Behavior and Evolution Society Japan, 2018
Research Fellow of the Japan Society for the Promotion of Science for Young Scientists (DC1), 2018-2020 (3,100,000-yen)
Poster Award, Association of Behavioral Economics and Finance, 2017
Exemption from repayment, JASSO's scholarship loan, 2016-2017
Poster Award, Experimental Social Science Conference, 2015
Contributions to public goods
Helping researchers to recruit participants via a participant recruitment website.