
Managing Complex Governance Systems
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The authors collected here use theoretical frameworks grounded in empirical research to analyze and explain how non-linear dynamics, self-organisation of many agents and the co-evolution of processes combine to generate the evolution of governance processes, especially for public urban and metropolitan investments. Managing Complex Governance Systems: Dynamics, Self-Organization and Coevolution in Public Investments offers readers an increased understanding of the main objective of public management in complexity--namely complex process system--and a strategy for accepting and dealing with complexity based on the idea of dual thinking and dual action strategies satisfying the desires of controlling processes and the need to adjust to changes simultaneously.
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Dr. Lasse M. Gerrits M.Sc, was a researcher at TNO Built Environment and Geosciences and a Ph.D. student at the Department of Public Administration (Erasmus University Rotterdam) between 2003 and 2008. He received the degree of Doctor in 2008 for his research on complexity theory and decision making. He now works as an Assistant Professor in Public Administration and works in the field of decision making and spatial development.
Dr. ing. Geert R. Teisman is professor in Public Management at the Erasmus University Rotterdam. He received degrees in transport and sociology. His PhD thesis on complex decision making was first published in 1992, followed by a second and third edition in 1995 and 1998. On a regular basis he advises governments and private organizations on the management of complex decision-making, strategic planning, public-private partnerships, process management, intergovernmental co-operation in metropolitan areas and policy evaluation.
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