A full list of publications is here. Today on display:

• Lenhard, J. und M. Brandl (2024). "Der Non-Bias-Mythos" In: Verantwortungsblog. zevedi.de/der-non-bias-mythos [06.08.2024]. doi.org/10.60805/wh2f-7g22.
  Offers a blog post on the philosophy of machine learning (in German).
• Lenhard, J. (2024). "The most important thing: Wittgenstein, engineering, and the foundations of mathematics." British Journal for the History of Philosophy 201(129). doi.org/10.1080/09608788.2024.2373133.
  This essay brings together Wittgenstein's philosophy of mathematics with Turing and the history of engineering.
• Lenhard, J. and H. Hasse (2023). "Traveling with TARDIS. Parameterization and transferability in molecular modeling and simulation." Synthese 201(129). doi.org/10.1007/s11229-023-04116-3.
  This paper exemplifies joint work in philosophy and engineering.
• Lenhard, J. (2022). "A Transformation of Bayesian Statistics: Computation, Prediction, and Rationality", Studies in History and Philosophy of Science, 92, pp. 144-151.
  Makes a claim about how using computational tools affects the concept of rationality underlying the (Bayesian) philosophy of statistics.
• Lenhard, J. (2018). "Holism or the Erosion of Modularity. A Methodological Challenge for Validation", Philosophy of Science, 85, pp. 832-844.
  Argues along two examples that the very methodology of computational modeling tends to undercut validation efforts.

Open-Access:  https://direct.mit.edu/books/oa-monograph/5771/Cultures-of-PredictionHow-Engineering-and-Science

“This pioneering and broad-ranging analysis of the real practices of prediction in modern science and engineering goes far beyond philosophers' usual notion of simple logical deduction from theories. Johannes Lenhard has wonderfully completed his collaboration with the late Ann Johnson.”

Hasok Chang, Hans Rausing Professor at the Department of History and Philosophy of Science, University of Cambridge

“This comprehensive and important study presents much-needed and original work in engineering studies and provides a longue durée perspective.”

Adelheid Voskuhl, Associate Professor, University of Pennsylvania

Characterizes simulation modeling as a new type of mathematical modeling. The book is based (also) on historical case studies and identifies experimentation, visualization, plasticity and opacity as important concepts to think about what simulations characterize.