This special issue brings together articles that illustrate the recent advances of studying complex adaptive systems in industrial ecology (IE). The authors explore the emergent behavior of sociotechnical systems, including product systems, industrial symbiosis (IS) networks, cities, resource consumption, and co-authorship networks, and offer application of complex systems models and analyses. The articles demonstrate the links, relevance, and implications of many (often emerging) fields of study to IE, including network analysis, participatory modeling, nonequilibrium thermodynamics, and agent-based modeling. Together, these articles show that IE itself is a complex adaptive system, where knowledge, frameworks, methods, and tools evolve with and by their applications and use in small and large case studies—multidisciplinary knowledge ecology.
Complexity in Industrial Ecology: Models, Analysis, and Actions
Gerard P.J. Dijkema, Ming Xu, Sybil Derrible and Reid Lifset
Journal of Industrial Ecology
Special Issue: Advances in Complex Adaptive Systems and Industrial Ecology
Volume 19, Issue 2, pages 189–194, April 2015
Via Complexity Digest