Jun Otsuka

少ない・・・？コミュ力おばけだと思ってました．

Very nice by Jun Otsuka @junotk.bsky.social and Hayato Saigo: link.springer.com/article/10.1...
about causal interventions/do calculus via string diagram surgery

Statistical Thinking as Philosophy: Essential Readings – Part I. - Crow Intelligence "Philosophy of science without history of science is empty; history of science without philosophy of science is blind." — Imre Lakatos Statistics isn't just a collection of mathematical techniques—it'...

"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...

A full-text view-only version is here: link.springer.com/epdf/10.1007...

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...

Thank you for sharing and recommending the book!

This is a very good book, and you can read it for free!

The Role of Mathematics in Evolutionary Theory Cambridge Core - Philosophy of Science - The Role of Mathematics in Evolutionary Theory

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...

Thank YOU for the wonderful talk! It was such a pleasure and an honor to have you in the Japanese phil sci community. I hope you enjoy the rest of your stay!

In 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

Packed day at the Japanese Phil Scie Association with brilliant talks by @junotk.bsky.social on rethinking the ontology associated with statistical models and Hanti Lin on realism and machine learning. Huge thanks to @junotk.bsky.social for stellar organisation and unrivalled hospitality. 💫

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.

A real joy to visit Taipei and to meet in person the incredible community of philosophers of science in South East Asia as well as hanging around with my old friend @sabinaleonelli.bsky.social and new colleagues too. Huge thanks to Karen Yan our wonderful host here 💫

Methodological legacy: microcinematography combined with quantitative measurement. Conceptual legacy: contact inhibition of locomotion. Applicability and fecundity: neural crest cell migration, neuronal cell dispersion, and cancer invasion

New 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...

This perspective leads to rich and intriguing implications—for example, the importance of diversity in science, and Kuhnian paradigm shifts as phase transitions in Bayesian updating with singular models.
I really enjoyed working on this project with such an inspiring team of scientists! (3/n, n=3)

The central idea is that the scientific community can be viewed as a Metropolis–Hastings algorithm that approximates the posterior probability. (2/n)

Collective predictive coding as model of science: formalizing scientific activities towards generative science | Royal Society Open Science This article proposes a new conceptual framework called collective predictive coding as a model of science (CPC-MS) to formalize and understand scientific activities. Building on the idea of CPC originally developed to explain symbol emergence, CPC-MS ...

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/...

Thanks for sharing!

Co-authored with my students Tomoyuki Hayashi & Tatsuya Yoshii, and my colleague Hayato Saigo. Forthcoming in Synthese!

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/

The title page of the article: "Mechanisms and Principles: Two Approaches to Scientific Generalization," just published in European Journal for Philosophy of Science

Officially 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...

Seeking Research Associates at RIKEN Center for Advanced Intelligence Project (W24325)

www.riken.jp/en/careers/r...

I'm so grateful to the reviewers for their thoughtful critiques and to the editor, Masashi Kasaki, for this great opportunity!

Replies to critics - Asian Journal of Philosophy This is the author’s reply to the critics in the book symposium on Thinking about Statistics: The Philosophical Foundations (Routledge 2023).

My replies: link.springer.com/article/10.1...

Causal inference and inter-world laws - Asian Journal of Philosophy Jun Otsuka, in his recent work Thinking About Statistics (2023), undertakes a philosophical investigation of fundamental statistical methodologies, with a particular emphasis on causal inference. In h...

Tung-Ying Wu: link.springer.com/article/10.1...

Internalist reliabilism in statistics and machine learning: thoughts on Jun Otsuka’s Thinking about Statistics - Asian Journal of Philosophy Otsuka (2023) argues for a correspondence between data science and traditional epistemology: Bayesian statistics is internalist; classical (frequentist) statistics is externalist, owing to its reliabi...

Hanti Lin: link.springer.com/article/10.1...

Justification and update - Asian Journal of Philosophy In this commentary on Jun Otsuka’s first-rate book, we focus on the difference between justification and update.

Jeanne Peijnenburg & David Atkinson: link.springer.com/article/10.1...

Thoughts on Jun Otsuka’s Thinking about Statistics – the Philosphical Foundations - Asian Journal of Philosophy Jun Otsuka’s excellent book, Thinking about Statistics - the Philosophical Foundations (Otsuka 2023) is mostly organized around the idea that different statistical approaches can be illuminated by lin...

Elliott Sober: link.springer.com/article/10.1...

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/...