Complexity Institutes
< fedor111
Die Governance komplexer Systeme – Individuen, Organisationen, Staaten, lokale-bis-globale Gemeinschaften – ist mit Herausforderungen wie Autonomie, Selbstorganisation und Unvorhersehbarkeit konfrontiert. Das hat zu einem paradigmatischen Wechsel von hierarchischen zu heterarchischen Zugängen geführt, der sich sowohl im Bereich der Corporate Governance als auch im Bereich der Public Governance widerfindet und in Formen wie Partizipation, Netzwerk, Verhandlung, Koordination und Kooperation resultiert. Unsere Forschungsarbeiten beschäftigen sich mit diesen Phänomenen unter besonderer Berücksichtigung der Themen „Innovation“ und „Nachhaltigkeit“.
Contemporary resource and environmental management and associated policies, including economic instruments and incentives, have to a large extent been based on steady-state views and assumptions. Research on complex adaptive systems contests models and policies that are based on assumptions of linear dynamics, with a focus on optimal solution in the vicinity of a single equilibrium. Social-ecological adaptation Recent research has revealed that applications of such theory and world views tend to develop governance systems that invest in controlling a few selected ecosystem processes, causing loss of ecological support functions, in the urge to produce particular resources to fulfill economic or social goals in the short term.
November 5-6, 2010 2010 Computational Social Science Society Conference September 30 - October 2, 2010 IASC North American Regional Meeting CSDC joins the Consortium for Biosocial Complex Systems Together with the Center for Institutional Diversity and the Mathematical, Computational, and Modeling Sciences Center, the CSDC has been brought into the Consortium for Biosocial Complex Systems under the leadership of Sander van der Leeuw. "Integration is the key to being a leader in solving complex challenges," van der Leeuw says. "You must be able to look at problems holistically, and not just at one point in time, but across time.
John H. Holland Trustee, Science Board, External Professor Professor, University of Michigan, Ann Arbor, Computer Science/Engineering/Psychology