1-3 Mar 2017
Sydney, Australia
MuST10: Causation and Complexity 10th Munich-Sydney-Tilburg Conference in the Philosophy of Science https://wordvine.sydney.edu.au/files/1701/14221/images/custom/67953_iStock_16137273_XXLARGE.jpeg 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 tomust10.conference@sydney.edu.au <mailto:must10.conference@sydney.edu.au>Click here for the conference website<http://sydney.edu.au/foundations_of_science/events/must10.shtml> -- [LOGIC] mailing list http://www.dvmlg.de/mailingliste.html Archive: http://www.illc.uva.nl/LogicList/ provided by a collaboration of the DVMLG, the Maths Departments in Bonn and Hamburg, and the ILLC at the Universiteit van Amsterdam