Dr David Newth, CSIRO Centre for Complex Systems Science
Dr David Newth: modelling complex social and biological systems
Dr David Newth’s research focuses on analysing, modelling and understanding the emergent behaviour of complex social and biological systems.
- 25 August 2006 | Updated 14 October 2011
- Overview
- Publishing History
Overview
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Current activities
Dr Newth is a Research Scientist with CSIRO Centre for Complex Systems Science.
His research currently focuses on:
- stability and complexity of ecosystems and societies
- evolution of cooperation, social structure and cohesive groups
- massive agent based models calibrated by data
- network analysis of large complex social and ecological network
- managing the Network Theory Working Group.
Background
Dr Newth commenced working with the CSIRO in 2004 working on modelling complex systems.
Prior to this, between 2003-04, Dr Newth lectured at Charles Sturt University, Wagga Wagga, New South Wales, Australia, in:
- complex systems
- data communications
- data modelling
- decision support.
Academic qualifications
Dr Newth graduated with a:
- Bachelor of Applied Science with First Class Honours in 1998 from Charles Sturt University
- Doctor of Philosophy in Computer Science in 2002, also at Charles Sturt University.
Achievements
Dr Newth’s awards and achievements include:
- the 2007 John Philip Award for the Promotion of Excellence in Young Scientists
- a One CSIRO Award, presented to the CSIRO Centre for Complex Systems Science, 2005
- the Vice Chancellors Award for Research Excellence (CSU), 2003
- an Australian Postgraduate Award, 1999-2000
- the IBM Computing Prize, 1997.
Dr Newth is a member of:
- Institute of Electrical and Electronics Engineers (IEEE) Information Theory Society
- IEEE Man Systems and Cybernetics Society
- Association of Computer Machinery.
Find out more about CSIRO's work in Complex Systems Science.
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Scientist Profile
Name: Dr David Newth
Title: Research Scientist
Qualifications:
- BApSc (Hons I)
- PhD
Current projects:
- massive agent based models
- asynchronous decisions and evolutionary games
- topology, spatial patterns and adaptation of complex systems
- network theory working group