University of Bergen
Department of Philosophy
Postboks 7805
5020 Bergen
Norway

Tel: +47 55 588 960
Fax: +47 55 589 651
Email: michael.baumgartner@uib.no



Bio

I am a full professor at the Department of Philosophy of the University of Bergen and part of the Toppforsk-programme. My PhD is from the University of Bern (2005). I work on questions in the philosophy of science and the philosophy of logic, in particular, on causation, mechanistic constitution, and logical formalization. My publications include an introduction to the philosophy of causation entitled “Kausalitaet und kausales Schliessen” (2004) and numerous papers on causation, causal reasoning, regularity theories, interventionism, mechanistic constitution, non-reductive physicalism, epiphenomenalism, determinism, logical formalization, argument reconstruction/evaluation, modeling in the social sciences, QCA, and the slingshot argument.



News

  1. Upcoming conference on “Causation vs. Constitution: Loosening the Frictionwill be held at the University of Bergen on December 3-4, 2018.
    Organizers: Michael Baumgartner, Lorenzo Casini (Geneva), Veli-Pekka Parkkinen.
    Invited speakers include: Frederick Eberhardt (CalTech), Jiji Zhang (Lingnan), Daniel Malinsky (Johns Hopkins), Bert Leuridan (Antwerp), Markus Eronen (Groningen), Alessio Moneta (Pisa), Mark Couch (Seton Hall University), Beate Krickel (Bochum), Peter Fazekas (University of Antwerp), Alexander Gebharter (Düsseldorf), David Kinney (LSE), Jens Harbecke (Witten), Maria Serban (Copenhagen).

  2. New paper on fuzzy-set and multi-value Coincidence Analysis appeared in Political Science Research and Methods.

  3. New version of cna R-package: version 2.1.1 is now available on CRAN. The new functionalities include various model fit parameters as exhaustiveness, faithfulness, and inus that are helpful e.g. in ambiguity reduction. Moreover, multi-outcome models are now tested for structural redundancies and a new function has been added that eliminates such redundancies. Also, algorithmic efficiency has been significantly increased. Finally, the package now comes with an extensive vignette that presents the theoretical background of CNA and introduces to causal modeling with CNA on the basis of many concrete examples.