CSIRO Centre for Complex Systems Science
The CSIRO Centre for Complex Systems Science supports a network of scientists who research complex systems, by providing opportunities for collaboration, sharing of ideas and capacity building.
- 18 April 2011 | Updated 14 October 2011
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About the Centre
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The CSIRO Centre for Complex Systems Science facilitates the development and use of techniques that will expand our knowledge and understanding of Complex Systems and help society make better informed planning and management decisions.
CSIRO offers a unique scientific environment, encouraging cross-disciplinary interaction that is essential for addressing complex problems in science, business and industry.
Complex systems science (CSS) is one of the fastest growing fields of science worldwide.
The Centre provides:
- a contact point for researchers from universities, government departments, business and industry to access CSIRO researchers in Complex Systems Science (CSS)
- hosts an Annual Workshop on CSS
- provides opportunities for scientists to share knowledge, form collaborations and initiate new projects
- conducts programs to educate established and novice Complex Systems Scientists
- funds students and early career scientists who work on problems in CSS
- coordinates meetings and workshops that focus on key questions in CSS
- coordinates meetings and workshops that focus on analytical techniques such as Agent Based Modelling, Network Theory, Cellular Automata and Dynamical Systems
- disseminates information on funding, conferences and meetings to a network of Complex Systems Scientists.
The Centre provides links into related groups within CSIRO and other Australian Centres for CSS such as:
- COSNet
- MASCOS
- ARC Centre for Complex Systems Science.
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Fast facts
- The science of complex systems governs the world around us, which is possibly why this field is one of the fastest growing areas of science
- The CSIRO Centre for Complex Systems Science supports a network of scientists who research complex systems
- New computer modelling approaches are revealing the common features of systems as diverse as the weather, economies and ecosystems and improving our understanding of the unexpected emergent behaviour that these complex systems exhibit
