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.
This is me talking about philosophy of economics.
This is me talking about the science-policy interface at the Finnish Parliament (in Finnish, starts at 00:50)
Associate Professor of Practical Philosophy, University of Helsinki
Fellow of TINT Centre for
Philosophy of Social Science (www.helsinki.fi/tint)
(SELECTED) RECENT PUBLICATIONS:
Kuorikoski, J. (forthcoming) “Contrastive evidence and inductive risk” The British Journal for the Philosophy of Science.
Kuorikoski, J. (forthcoming) ” There are no mathematical explanations” Philosophy of Science.
Reijula, S & Kuorikoski, J. (forthcoming) “The diversity–ability trade-off in scientific problem solving”, Philosophy of Science (PSA)
Kuorikoski, J. & Uusitalo, S. (2018) “Re-socializing the vulnerable brain: building an ethically sustainable brain disease model of addiction” Frontiers in Sociology 3.
Kuorikoski, J. & Lehtinen, A. (2018) “Model selection in macroeconomics: DSGE and ad hocness” Journal of Economic Methodology 25 (3), 252-264.
Reijula, S., J Kuorikoski, T Ehrig, K Katsikopoulos, S Sunder (2018) “Nudge, Boost, or Design? Limitations of behaviorally informed policy under social interaction,” Journal of Behavioral Economics for Policy, 2 (1): 99-105.