MuST10: Causation and Complexity

10th Munich-Sydney-Tilburg Conference in the Philosophy of Science

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March 1-3 2017
The University of Sydney

Munich Centre for Mathematical Philosophy (MCMP), Ludwig Maximilian University, Munich
Sydney Centre for the Foundations of Science (SCFS), University of Sydney
Tilburg Centre for Logic, Ethics and Philosophy of Science (TiLPS), University of Tilburg

In collaboration with the Centre for Complex Systems (CCS) University of Sydney

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.

Organising Committee:

  • Prof. Mikhail Prokopenko (CCS)
  • Prof. Paul Griffiths (SCFS)
  • Prof. Mark Colyvan (SCFS)
  • Prof. Stephan Hartmann (MCMP)
  • Prof. Jan Sprenger (TiLPS)

Conference Program and Abstracts

Download the MuST10: Causation and Complexity Conference Program and an alphabetical list of abstracts.

Keynote speakers

Prof. Stuart Kauffman
One of the most distinguished scholars of complexity, Stuart Kauffman is the author of several acclaimed books, including The Origins of Order: Self Organization and Selection in Evolution (OUP 1993), At Home in the Universe: The Search for Laws of Self-Organization and Complexity (OUP 1995), and Humanity in a Creative Universe (OUP 2016)

Prof. Anne-Marie Grisogono
Currently Professor at the Flinders Centre for Science Education in the 21st Century (Science21), Anne-Marie Grisogono spent more than twenty years as a researcher at Australia’s Defence Science and Technology Organisation applying complex systems science to the problems of understanding and intervening in large human organisations

Prof. Kevin Korb
Kevin Korb is a Reader in the Faculty of Information Technology at Monash University. He specialises in the theory and practice of causal discovery in Bayesian networks, machine learning, evaluation theory, the philosophy of scientific method, and informal logic.

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

Call for papers extended:
Abstracts of a maximum 1000wds and including the author’s affiliation and email address should be submitted in a single document by December 8th 2016 to