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New paper by Vilius Dranseika, Piotr Bystranowski and Tomasz Żuradzki

28.10.2025
Vilius Dranseika, Piotr Bystranowski and Tomasz Żuradzki published a new article: "Personal memory and distant reading can complement each other: a reply to Gillon" in Journal of Medical Ethics
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New paper by Tomasz Żuradzki, Piotr Bystranowski and Vilius Dranseika

10.02.2025
Tomasz Żuradzki, Piotr Bystranowski and Vilius Dranseika from INCET published a new article: "Discussions on Human Enhancement Meet Science: A Quantitative Analysis" in Science and Engineering Ethics
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Journal of Medical Ethics at 50: a data-driven history – a new paper by Vilius Dranseika, Piotr Bystranowski & Tomasz Żuradzki published in Journal of Medical Ethics

14.01.2025
We take a data-driven approach to analyse intellectual trends over the first five decades of the Journal of Medical Ethics (JME). Our data set, comprising all texts published in the JME since 1975, reveals not only the most distinctive topics of the JME in comparison to other key journals with similar profiles but also diachronic fluctuations in the prominence of certain topics
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The Disconnection That Wasn’t: Philosophy in Modern Bioethics from a Quantitative Perspective – a new paper by Piotr Bystranowski, Vilius Dranseika & Tomasz Żuradzki published in American Journal of Bioethics

07.12.2022
Given the explosion in the size and scope of bioethical research in recent decades, any scholar’s familiarity with the area is necessarily based on selective reading and might be biased. Hence, in this commentary, we examine what kind of more rigorous evidence could corroborate the Disconnection Thesis. In other words, if the role of philosophy in bioethics has been indeed diminishing, what kind of observable patterns should we expect to see?

Half a Century of Bioethics and Philosophy of Medicine. A Topic-Modeling Study - a new article by Piotr Bystranowski, Vilius Dranseika and Tomasz Żuradzki published in Bioethics

17.08.2022
Topic modeling–a text-mining technique often used to uncover thematic structures in large collections of texts–has been increasingly frequently employed in the context of analysis of scholarly output. In this study, we construct a corpus of 19,488 texts published since 1971 in seven leading journals in the field of bioethics and philosophy of medicine and we fit a topic model, using the latent Dirichlet algorithm (K = 100).