Jun Otsuka
Philosopher of Science. The author of Thinking About Statistics (Routledge) and the Role of Mathematics in Evolutionary Theory (CUP).
junotk.net
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- "If you read only one book on the philosophy of statistics, make it this one. Otsuka’s compact yet comprehensive treatment (under 190 pages) provides a uniquely integrated view of the major statistical frameworks that shape modern data science and AI." crowintelligence.org/2025/03/19/s...
- Our process causation paper is published in Synthese! We propose that process causation (a la Salmon, Dowe, MDC new mechanists) can be modeled using a category-theoretic framework. link.springer.com/article/10.1...
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- All titles of Cambridge Elements in the Philosophy of Biology, including mine The Role of Mathematics in Evolutionary Theory, are downloadable for free till the 25th. www.cambridge.org/core/element...
- Reposted by Jun OtsukaIn Sendai where our fantastic host @junotk.bsky.social opens up the meeting of the Japanese Phil of Science Association (ita founding members include physicist Yukawa, I am told) and to these days includes lots of logicians and scientists alike. Excellent opening talk by @terumiyake.bsky.social
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- It was such a great honor to host Prof. Michela Massimi’s @michelamassimi.bsky.social special lecture at the Japanese Philosophy of Science Association. Her talk was truly inspiring for thinking about a more human-centered form of science—something much needed today.
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- Reposted by Jun OtsukaNew article! Alan Love @mcps-philsci.bsky.social & I reflect on methodological & conceptual legacies of M. Abercrombie: quantitative measurement of cell behavior & concept of contact inhibition of locomotion. Published in @devbiol.bsky.social eur03.safelinks.protection.outlook.com?url=https%3A...
- New paper out in Royal Society Open Science! In this paper, we propose a novel Bayesian framework to model scientific practice as a whole, based on Taniguchi's theory of Collective Predictive Coding. (1/n) royalsocietypublishing.org/doi/10.1098/...
- The central idea is that the scientific community can be viewed as a Metropolis–Hastings algorithm that approximates the posterior probability. (2/n)
- New preprint out! We use string diagrams to quantitatively model process causality (à la Salmon) and tackle issues like the Principle of Common Cause, explanatory irrelevance, and more—turns out process causation might be cooler than you thought. philsci-archive.pitt.edu/25367/
- Co-authored with my students Tomoyuki Hayashi & Tatsuya Yoshii, and my colleague Hayato Saigo. Forthcoming in Synthese!
- Reposted by Jun OtsukaOfficially published in EJPS! Alan Love @mcps-philsci.bsky.social and I discuss two forms of generalization: evolutionarily conserved mechanisms involving specific types of entities and abstract principles that are instantiated by heterogeneous entities #philsci link.springer.com/article/10.1...
- Précis of Thinking About Statistics rdcu.be/edlaK URL to the article: link.springer.com/article/10.1...
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- My book, Thinking About Statistics, got featured in Asian Journal of Philosophy! The book symposium hosts reviews by Elliott Sober, Jeanne Peijnenburg & David Atkinson, Hanti Lin, and Tung-Ying Wu, along with my reply. link.springer.com/collections/...
- Really enjoyed attending the Joint Mathematics Meetings special session on Categorical Generalizations of Conditionalization. We presented "a sheaf-theoretic reconstruction of statistical models", a joint work with Tatsuya Yoshii and Hayato Saigo.
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- Reposted by Jun OtsukaPSA Around the World 2025 🌍 Focus: Eastern & Central Europe. Call for Abstracts is now open! 🗓️ Deadline: March 31, 2025 💻 Fully online, Nov 6, 14, 22 $50 fee (waivers available). More info: www.philsci.org/psa_... 📄 Submit abstracts: psaatw25.sciencescon...
