Keynote Speakers

Tarja

Tarja Knuuttila
Assoc. Professor, Department of Philosophy of University of South of California

http://artsandsciences.sc.edu/phil/tarja-knuuttila

Education
2010 Title of Docent (Habilitation), Theoretical Philosophy, University of Helsinki
2005 Doctor of Philosophy, Ph.D., Department of Philosophy, Theoretical Philosophy, University of Helsinki.
2001 Master of Social Sciences, M.Soc.Sc., Social and Moral Philosophy, University of Helsinki
1991 Master of Economic Sciences, M.Sc. (Econ.), Economics, Helsinki School of Economics

Research Interests
General Philosophy of Science, Philosophy of the Special Sciences, Interdisciplinary Research, Science and Technology Studies.

More
I am studying scientific representation, modelling and scientific inference, with a special emphasis on synthetic biology, economics, and interdisclipinary relations between different scientific disciplines. Although the philosophical questions I am interested in are general, my approach is geared towards contemporary science, and practice-oriented in nature. In particular, I combine philosophical analysis with historical and empirical case studies, often in collaboration with scientists, or scholars from history and sociology of science. In addition to synthetic biology and economics, I have been working on language technology, and engineering sciences more generally, and also on commercialization of scientific research. One of my areas of expertise lies in science and technology studies – I served as an Editor-in-Chief of Science & Technology Studies.

Some recent publications (see my CV for a complete list):

  • Knuuttila, Tarja and Andrea Loettgers (in press, 2016): “Modelling as Indirect Representation? The Lotka-Volterra Model Revisited.” British Journal for the Philosophy of Science.
  • Knuuttila, Tarja and Andrea Loettgers (2014). “Magnets, Spins, and Neurons: The Dissemination of Model Templates across Disciplines.” The Monist 97: 280–300.
  • Knuuttila, Tarja (2014). “Reflexivity, Representation, and the Possibility of Constructivist Realism”, in Maria Carla Galavotti, Stephan Hartmann, Marcel Weber, Wenceslao Gonzalez, Dennis Dieks, and Thomas Uebel: New Directions in the Philosophy of Science. Dordrecht: Springer, 297-312.
  • Knuuttila, Tarja and Andrea Loettgers (2013). “Synthetic Modeling and the Mechanistic Account: Material Recombination and Beyond.” Philosophy of Science 80: 874–885.
  • Knuuttila, Tarja and Andrea Loettgers (2013). “Basic Science through Engineering: Synthetic Modeling and the Idea of Biology-inspired Engineering.” Studies in History and Philosophy of Biological and Biomedical Sciences 44: 158–169.
  • Knuuttila, Tarja (2012). “Contradictions of Commercialization: Revealing the Norms of Science?” Philosophy of Science 79: 833–844.
  • Morgan, Mary S. and Tarja Knuuttila (2012). “Models and Modelling in Economics”, in Uskali Mäki (ed.) Philosophy of Economics, Handbook of the Philosophy of Science (general editors Dov M. Gabbay, Paul Thagard, and John Woods) Elsevier Science, 49–87.
  • Knuuttila, Tarja (2011). “Modeling and Representing: An Artefactual Approach.” Studies in History and Philosophy of Science 42: 262–271.

MauricioSuarez

Mauricio Suárez
Prof. Titular Dpto. de Lógica y Filosofía de la Ciencia, Universidad Complutense de Madrid

https://ucm.academia.edu/MauricioSuárez

Mauricio Suárez (BSc. Astrophysics, Edinburgh, 1991; MSc., PhD. Philosophy, LSE, 1997) has held positions at Oxford, St. Andrews, Northwestern and Bristol Universities and is at present Associate Professor in Logic and Philosophy of Science at Complutense University of Madrid. He is also a honorary research associate at the Department of Science and Technology Studies, University College London; and since 1998 a long term affiliate and research associate at the Centre for Philosophy of Natural and Social Science (CPNSS), London School of Economics. His main research interests lie in the philososophy of probability and causality, the history and philosophy of physics (particularly quantum mechanics), modelling and idealization, the aesthetics of scientific representation, and general epistemology and methodology of science, and he has published widely in all these areas. For over twenty years now he has been defending a broad kind of pragmatism that does not skew but rather aims to assimilate and appropriate for itself traditional realist notions such as representation, explanation, warrant, causation, disposition or propensity. He is thus known, amongst other views, for his critique of substantial conceptions of scientific representation and modelling, and his defence of a deflationary alternative view, the so called “inferential conception”. He has been Visiting Scholar at the University of Sydney (2003), and at Harvard University (2007, 2009, 2011). During 2011-12 he was Visiting Professorial Fellow at the Institute of Philosophy (School of Advanced Studies, London University), and during 2013-15 he was a Marie Curie senior research fellow at the same Institute, working on a project on propensities and statistics. He is the editor of four major book collections, including Fictions in Science: Philosophical Essays on Modeling and Idealization (Routledge, 2009), and the author amongst many other publications of:

  • (2016) “Varieties of Misrepresentation and Homomorphism” (with Francesca Pero), European Journal for the Philosophy of Science, 6 (1), pp. 71-90. (DOI: 10.1007/s11229-015-0741-1).
  • (2015c) “Representation in Science” in P. Humphreys, Ed., Oxford Handbook of the Philosophy of Science, Oxford University Press, forthcoming. (DOI:10.1093/oxfordhb/9780199368815.013.25).
  • (2015b) “Scientific Representation, Denotation, and Fictional Entities”, in Recent Developments in the Philosophy of Science: EPSA13 Helsinki (U. Maki et al., Eds.), Dordrecht: Springer, pp. 331-341.
  • (2015a) “Deflationary Representation, Inference, and Practice”, Studies in History and Philosophy of Science, 49, pp. 36-47.
  • (2014a) “Scientific Representation”, Oxford Bibliographies Online, January 2014 http://www.oxfordbibliographies.com/view/document/obo-9780195396577/obo-9780195396577-0219.xml (http://www.oxfordbibliographies.com/).
  • (2013c) “Fictions, Conditionals and Stellar Astrophysics”, International Studies in the Philosophy of Science, 27 (3), October 2013, pp. 235-252.
  • (2012a) “The Ample Modeling Mind”, Studies in History and Philosophy of Science, vol. 43, 1, pp. 213-217.
  • (2011) * “Scientific Realism, the Galilean Strategy and Representation”, in W. González (Ed.), Scientific Realism and Democratic Society: The Philosophy of Philip Kitcher, Poznan Studies in the Philosophy of the Sciences and the Humanities, Amsterdam: Rodopi, vol. 101, pp. 269-293.
  • (2010b) * “Fictions, Inference, and Realism”, in J. Woods (ed.), Models and Fictions: New Essays, Munich: Georg Olms Verlag, pp. 225-245.
  • (2010a) “Scientific Representation”, Philosophy Compass, 5, 1, pp. 91-101.
  • (2009b) “Scientific Fictions as Rules of Inference”, in Fictions in Science: Philosophical Essays on Modeling and Idealization, Routledge, pp. 158-198.
  • (2009a) “Fictions in Scientific Practice”, in Fictions in Science: Philosophical Essays on Modeling and Idealisation, Routledge, pp. 1-15.
  • (2008a) “Theories: Tools versus Models” (with Nancy Cartwright), Studies in History and Philosophy of Modern Physics, 39, pp. 62-81.
  • (2006) “On the Analogy Between Cognitive Representation and Truth” (with Albert Solé), Theoria, 55, pp. 39-48.
  • (2005a) “The Semantic View, Empirical Adequacy and Application”, Crítica, vol. 37, No. 109, pp. 29-63.
  • (2004f) “An Inferential Conception of Scientific Representation”, Philosophy of Science, 71, 5, pp. 767-779.
  • (2003a) “Scientific Representation: Against Similarity and Isomorphism”, International Studies in the Philosophy of Science, 17, 3, October 2003, pp. 225-244.
  • (2001) * “Kinds of Models” (with Adam Morton), in P. Bates and M. Anderson (Eds.), Model Validation in Hydrological Science, John Wiley, pp. 11-21.
  • (1999c) “Theories, Models and Representations”, in L. Magnani, N. Nersessian and P. Thagard (Eds), Model-Based Reasoning in Scientific Discovery, Plenum, New York, pp. 75-83.
  • (1999a) “The Role of Models in the Application of Scientific Theories: Epistemological Implications” in M. Morgan and M. Morrison (Eds.), Models as Mediating Instruments, Cambridge University Press, pp. 168-196.