I am a naturalistic philosopher of science. My conviction is that it is futile to approach even the most foundational questions in theoretical philosophy without close engagement with the empirical sciences and that a naturalistic philosophy of science approach is usually methodologically more fruitful than conceptual analysis based on the intuitions of a philosopher. I am motivated by problem solving rather than scholarly exegesis. The majority of my research has followed three main lines of inquiry: 1) Methodological issues in the use of models and simulations in the social sciences, 2) Theory of explanation, and 3) Mechanism-based heuristics and interdisciplinary relations.
I received the 2016 Jutikkala Prize for early career achievements in the humanities and the social sciences.
Many thanks to the Finnish Academy of Sciences and Letters.
Associate Professor of New Social Research, University of Tampere (www.uta.fi/nsr)
Fellow of Academy of Finland Centre of Excellence in the
Philosophy of Social Science (www.helsinki.fi/tint)
“Mechanistic evidence and a new argument from inductive risk”
9.9. EPSA 2017, University of Exeter
“Growth diagnostics and contrastive evidence”
28.8. 2017, INEM 2017, San Sebastian.
“There are no mathematical explanations”
12.10.2017, Research seminar in philosophy, University of Tampere
“Confirmation by realism” (w. Aki Lehtinen)
13.10.2017, What to make of highly unrealistic models?, University of Helsinki
(SELECTED) RECENT PUBLICATIONS:
Kuorikoski, J. & Marchionni, C. (2016) “Evidential Diversity and the Triangulation of Phenomena”, Philosophy of Science 83: 227-247.
Kuorikoski, J. & Ylikoski, P. (2015) “External Representations and Scientific Understanding”, Synthese 192: 3817-3837.
Kuorikoski, J (2014) “How to be a Humean Interventionist”, Philosophy and Phenomenological Research 89: 333-351.
Kuorikoski, J & Marchionni, C. (2014) “Philosophy of Economics” in French & Saatsi (eds.) Bloomsbury Companion to the Philosophy of Science: 314-333.
Kuorikoski, J. & Pöyhönen, S. (2013) “Understanding non-modular functionality: lessons from genetic algorithms”, Philosophy of Science 80(5), PSA 2012: 637-649.