Sjoerd Zwart is an Assistant Professor of Philosophy & Ethics at Eindhoven University of Technology (TU/e).
Besides a general interest in Philosophy of Technology, Sjoerd Zwart’s research interests focus on the methodology and epistemology of engineering (design) knowledge. More specifically they concern: 1) Form, the logic and methodology of prescriptive means-end design knowledge. 2) The relation between prescriptive and descriptive theoretical knowledge. 3) The distinction between explicit and tacit know-how. 4) Engineering modeling. 5) The relation between prescriptive knowledge and normativity in engineering ethics; and argumentation theory in engineering ethics.
As an NWO PhD, Sjoerd Zwart wrote a thesis about distances on Lindenbaum Algebras, published in 2001 under the title Refined Verisimilitude (Kluwer). After being the Research coordinator of the Applied Logic Laboratory (UvA), he started work as an Assistant Professor at TU/e as well as in the philosophy departments of Delft University of Technology.
Sjoerd Zwart has co-authored Moral Responsibility and the Problem of many Hands (Routledge, 2015). He is Editorial board member Studies in History and Philosophy of Science and co-editor of History, and the Social Studies of Science (Routledge, 2014), and the Handbook of Philosophy of Technology and the Engineering Sciences (Elsevier, 2009). In 2014, Sjoerd was co-editor of Science after the Practice Turn in Philosophy.
Methodological classification of innovative engineering projectsPhilosophy of technology after the empirical turn (2016)
Moral responsibility and the problem of many hands(2015)
Substantive and procedural contexts of engineering designEngineering Identities, Epistemologies and Values : Engineering Education and Practice in Context, Volume 2 (2015)
Modeling for fairness : a Rawlsian approachStudies in History and Philosophy of Science (2014)
IntroductionScience after the practice turn in philosophy, history, and the social studies of science (2014)
- Project Robots Everywhere
- Rational agents: robots & artificial intelligence
No ancillary activities