Making the Visual Visible in Philosophy of Science

Spontaneous Generations 6 (1):106-114 (2012)
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Abstract

As data-intensive and computational science become increasingly established as the dominant mode of conducting scientific research, visualisations of data and of the outcomes of science become increasingly prominent in mediating knowledge in the scientific arena. This position piece advocates that more attention should be paid to the epistemological role of visualisations beyond their being a cognitive aid to understanding, but as playing a crucial role in the formation of evidence for scientific claims. The new generation of computational and informational visualisations and imaging techniques challenges the philosophy of science to re-think its position on three key distinctions: the qualitative/quantitative distinction, the subjective/objective distinction, and the causal/non-causal distinction.

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Annamaria Carusi
University of Copenhagen

Citations of this work

Graph-based inductive reasoning.Marcel Boumans - 2016 - Studies in History and Philosophy of Science Part A 59 (C):1-10.
Visual Metaphors in the Sciences: The Case of Epigenetic Landscape Images.Jan Baedke & Tobias Schöttler - 2017 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 48 (2):173-194.
Visual Metaphors in the Sciences: The Case of Epigenetic Landscape Images.Jan Baedke & Tobias Schöttler - 2016 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie:1-22.

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References found in this work

Objectivity.Lorraine Daston & Peter Galison - 2007 - Cambridge, Mass.: Zone Books. Edited by Peter Galison.
Scientific Representation: Paradoxes of Perspective.Bas C. Van Fraassen - 2008 - Oxford, GB: Oxford University Press UK.
Sanctioning Models: The Epistemology of Simulation.Eric Winsberg - 1999 - Science in Context 12 (2):275-292.

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