Lucien Baumgartner

Lucien Baumgartner is a Postdoctoral Researcher in the Department of Philosophy at the University of Zurich, working since September 2024 in Prof. Pascale Willemsen's SNSF research group on "Investigating Thick Ethical Concepts - Philosophical and Empirical Perspectives". Previously, he held a Postdoc position at the Chair for Ethics of AI, University of Graz (February-December 2024), and completed his PhD at UZH (2020-2024) under Prof. Kevin Reuter's SNFS Excellenza Project on Dual-Character Concepts.

His academic training includes:

• Bachelor of Arts in Social Sciences, University of Zurich (2013-2016)
• Master of Arts in Social Sciences, University of Zurich (2016-2019)
• PhD in Philosophy, University of Zurich, Faculty of Arts (2020-2024)

Baumgartner's research integrates philosophical analysis with empirical methods to investigate thick ethical concepts, evaluative language, and dual-character concepts. His work bridges philosophy of language, mind, and metaethics through corpus linguistics and experimental approaches, examining how descriptive and normative dimensions interact in ethical discourse.

His publication trends reveal strong interdisciplinary engagement: recent work (2021-2024) focuses on corpus-based analysis of ethical concepts in philosophical psychology and legal contexts, while earlier contributions span political science (digital election campaigns), dentistry, volcanology, and biomechanics. This reflects methodological versatility across humanities, social sciences, and STEM fields.

Scientific recognition:

• No awards or fellowships documented in source materials

As a postdoctoral researcher, he has no identified advisees. His work is supported by competitive grants including the SNSF Starting Grant (Willemsen) and SNFS Excellenza Project (Reuter), emphasizing collaborative empirical philosophy. Current projects involve cross-institutional teams applying computational linguistics to ethical concepts.

He operates within UZH's SNSF-funded research group on thick ethical concepts, utilizing mixed-methods frameworks, and previously contributed to Graz University's Ethics of AI chair, indicating active involvement in AI ethics infrastructure development.