[SydPhil] Call for papers: Causation and Complexity, 10th Munich-Sydney-Tilburg Conference in the Philosophy of Science, March 1-3 2017

Paul Griffiths paul.griffiths at sydney.edu.au
Wed Oct 19 23:29:27 AEDT 2016

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[The University of Sydney]

MuST10: Causation and Complexity
10th Munich-Sydney-Tilburg Conference in the Philosophy of Science


March 1-3 2017
The University of Sydney

Munich Centre for Mathematical Philosophy<http://www.mcmp.philosophie.uni-muenchen.de/index.html> (MCMP), Ludwig Maximilian University, Munich; Sydney Centre for the Foundations of Science<http://sydney.edu.au/foundations_of_science/> (SCFS), The University of Sydney; Tilburg Centre for Logic, Ethics and Philosophy of Science<https://www.tilburguniversity.edu/research/institutes-and-research-groups/tilps/> (TiLPS), University of Tilburg; In collaboration with the Centre for Complex Systems<http://sydney.edu.au/complex-systems/> (CCS) The University of Sydney

Keynote speakers

  *   Professor Stuart Kauffman
  *   Professor Anne-Marie Grisogono
  *   Professor Kevin Korb

About the conference
Causation and Complexity is the tenth MuST conference, an international collaborative conference series with a distinctive focus on philosophical issues in the sciences that can be addressed using exact reasoning and which have some potential policy relevance. MuST conferences bring together philosophers and scientists to explore these topics.

Call for papers

Many of the key scientific and practical challenges of our time require innovative scientific approaches to the study of complex systems. Many philosophers of science are engaged in the analysis of these methodological innovations. Complex systems science poses many challenges to traditional models of scientific explanation and understanding, and particularly to ideas about the identification and manipulation of causes. Papers are invited on any aspect of scientific study of complexity, including philosophical, sociological and psychological studies of complex systems science, and on the policy implications of complex systems science

Suitable topics include, but are not limited to:

  *   Complexity and uncertainty
  *   Complexity, risk and decision making
  *   The detection and measurement of causal influence
  *   The analysis of network structure
  *   Dynamical explanation
  *   Cognitive strategies for dealing with complexity
  *   Complexity in social interaction
  *   Models and representations of complex systems
  *   Statistical analysis of complex datasets (e.g., data mining, model selection)
  *   The philosophical study of information

Abstracts of a maximum 1000wds and including the author’s affiliation and email address should be submitted in a single document by December 1st 2016 to must10.conference at sydney.edu.au

<mailto:must10.conference at sydney.edu.au>Click here for the conference website<http://sydney.edu.au/foundations_of_science/events/must10.shtml>


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