Visiting Speaker: Peter Allen

Modelling dynamic interactions between complex economic, social and ecological systems

An ACCS seminar presented by Professor Peter Allen.

Time:  11 am
Date:  Wednesday 1st December
Location: Room 103, Colin Clark Building, St. Lucia Campus, The University of Queensland.

Peter Allen

Professor of Evolutionary Complex Systems and Head of the Complex Systems Management Centre, Cranfield University

Professor Allen is the Co-ordinator of NEXSUS, the ESRC Priority Network in Complex and Dynamic Processes. His research is directed at better understanding and dealing with change in complex systems.

He has a PhD in Theoretical Physics, was a Royal Society European Research Fellow 1969 - 71 and a Senior Research Fellow at the Universite Libre de Bruxelles from 1972 - 1987, where he worked with Nobel Prizewinner, Ilya Prigogine. Since 1987 he has run two Research Centres at Cranfield University.

For almost 20 years Professor Allen has been working on the mathematical modelling of change and innovation in social, economic, financial and ecological systems, and the development of integrated systems models linking the physical, ecological and socio-economic aspects of complex systems as a basis for improved decision support systems. A range of dynamic integrated models have been developed in such diverse domains as industrial networks, supply chains, river catchments, urban and regional development, fisheries and also economic and financial markets.

Professor Allen has written and edited several books and published well over 150 articles in a range of fields including ecology, social science, urban and regional science, economics, systems theory, and physics. He has been a consultant to a number of private companies, the Canadian Fishing Industry, to Elf Aquitaine, to the United Nations University, the European Commission and the Asian Development Bank. He has managed a number of large European and UK research contracts.




World-class basic and applied inter-disciplinary research on questions fundamental to understanding, designing and managing complex systems
2009 The ARC Centre for Complex Systems, Australia