I am a Research Fellow in Philosophy at the Cluster of Excellence – Machine Learning for Science and the Hector Research Institute of Education Sciences and Psychology of the University of Tübingen. My research focus is on Philosophy of Science, Philosophy of AI, Empirical Philosophy, Logic, Science Policy, and Animal Ethics. More specifically, I work on data-driven approaches to optimizations of scientific reasoning.
Previously, I was a researcher at the Weizsäcker Center of the University of Tübingen and at the Institute for Philosophy of the Faculty of Philosophy, University of Belgrade. In Belgrade, I was also an associate member of the Laboratory for Experimental Psychology. In 2015/2016, I was employed by the TU Wien (Vienna University of Technology) where I worked on proof theory. All this led me to apply both formal and empirical methods to my philosophical research.
Ph.D. in Philosophy, University of Belgrade
M.Sc. in Logic, University of Amsterdam
B.A. in Philosophy, University of Belgrade
New publication: Modelling Efficient Team Structures in Biology, Vlasta Sikimić and Ole-Herud Sikimić, in Journal of Logic and Computation.
Podcast interview on Philosophy of AI (in Serbian):
New publication: How to Improve Research Funding in Academia? Lessons From the COVID-19 Crisis in Frontiers in Research Metrics and Analytics.
Special Issue on Responsible Life Science Funding Policy: Lessons from the COVID-19 Pandemic is online in the International Journal of Risk & Safety in Medicine.
Chair of the Organizing Committee of the European Philosophy of Science Association – EPSA Conference to be held in 2023 in Belgrade, Serbia.
Co-chair of the Program Committee of the Fourth EENPS Conference to be held in 2022 at the University of Tartu, Estonia.