Fakultät für Philosophie, Wissenschaftstheorie und Religionswissenschaft
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Lyon, Aidan

Dr. Aidan Lyon

Visiting Fellow

Kontakt

Mailing Address:
Ludwig-Maximilians-Universität München
Fakultät für Philosophie, Wissenschaftstheorie
und Religionswissenschaft
Lehrstuhl für Wissenschaftstheorie
Geschwister-Scholl-Platz 1
80539 München

Office:
Ludwigstr. 31
Raum 129
80539 München

Telefon: +49 162 379 0653

Website: http://aidanlyon.com

Weitere Informationen

Aidan Lyon completed a PhD degree (2009) in philosophy at the Australian National University. He is currently Assistant Professor of Philosophy at the University of Maryland College Park, and will be visiting the MCMP for 6 months each year (Oct–Feb) until 2017 on a Humboldt Fellowship. Aidan is also a Research Fellow at the Centre of Excellence for Biosecurity Risk Analysis (CEBRA) at the University of Melbourne.

Research Interests

Aidan Lyon’s research interests are in philosophy of science, philosophy of probability, mathematical explanation, social epistemology (using mathematical methods), biosecurity risk analysis, and some human judgement psychology.

Selected Recent and Forthcoming Publications

  • Lyon, A. (forthcoming). Why are Normal Distributions Normal?, The British Journal for the Philosophy of Science.
  • Lyon, A., Pacuit, E. (forthcoming). The Wisdom of Crowds: Methods of Human Judgement Aggregation, Springer Handbook for Human Computation
  • Lyon, A., Grossel, G., Burgman, M., Nunn, M. (2013). Using Internet Intelligence to Manage Biosecurity Risks: A Case Study for Aquatic Animal Health, Diversity and Distributions., 19(5-6):640–650.
  • Lyon, A. (2012). Mathematical Explanations of Empirical Facts, and Mathematical Realism, The Australasian Journal of Philosophy, 90(3):559-578.
  • Wintle, B., Mascaro, S., Fidler, F., McBride, M., Burgman, M., Flander, L., Saw, G., Twardy, C., Lyon, A., Manning, B. (2012). The Intelligence Game: Assessing Delphi Groups and Structured Question Formats, Proceedings of the 5th Australian Security and Intelligence Conference.
  • Lyon, A. (2011). Deterministic Probability: Neither Chance nor Credence, Synthese, 182(3):413-32.