David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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International Studies in the Philosophy of Science 26 (1):47 - 65 (2012)
Knowledge-making practices in biology are being strongly affected by the availability of data on an unprecedented scale, the insistence on systemic approaches and growing reliance on bioinformatics and digital infrastructures. What role does theory play within data-intensive science, and what does that tell us about scientific theories in general? To answer these questions, I focus on Open Biomedical Ontologies, digital classification tools that have become crucial to sharing results across research contexts in the biological and biomedical sciences, and argue that they constitute an example of classificatory theory. This form of theorizing emerges from classification practices in conjunction with experimental know-how and expresses the knowledge underpinning the analysis and interpretation of data disseminated online
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Sabina Leonelli (2013). Integrating Data to Acquire New Knowledge: Three Modes of Integration in Plant Science. Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 44 (4):503-514.
Miles MacLeod & Nancy J. Nersessian (2013). Building Simulations From the Ground Up: Modeling and Theory in Systems Biology. Philosophy of Science 80 (4):533-556.
Sabina Leonelli (2015). What Counts as Scientific Data? A Relational Framework. Philosophy of Science 82 (5):810-821.
Wolfgang Pietsch (2016). The Causal Nature of Modeling with Big Data. Philosophy and Technology 29 (2):137-171.
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