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A Critical Systems Approach to Socio-Ecological Systems

Posted on July 2, 2015 by Giorgio Bertini

This dissertation builds on work that has applied complex systems thinking to socio-ecological systems as well as on research that explores critical and reflective approaches to planning. A broad, interdisciplinary literature review was undertaken to explore the implications of complex and critical systems thinking and critical social epistemology for environmental management, planning and policy research, governance and social learning. Building on the insights from this review, one of the key contributions of this research is a conceptual framework that explicitly integrates knowledge and learning into an understanding of socio-ecological systems. It is argued that in the highly complex and uncertain realm of environmental policy, planning and governance, we should begin to discuss such systems as socio-ecological-epistemological (SEE) systems. This research addresses the complexity, uncertainty, high decision stakes, power relations and a plurality of knowledge involved in the process of social learning in environmental planning and governance.

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About Giorgio Bertini

Research Professor. Founder Director at Learning Change Project - Research on society, culture, art, neuroscience, cognition, critical thinking, intelligence, creativity, autopoiesis, self-organization, rhizomes, complexity, systems, networks, leadership, sustainability, thinkers, futures ++
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This entry was posted in Complex system, Critical social epistemology, Critical thinking, Socio-ecological systems and tagged complex systems, critical social epistemology, critical thinking, socio-ecological systems. Bookmark the permalink.
← Toward a Biology of Collectivism: Reducing the East West Divide to Its Physical and Physiological Substrates
Enactive Education – Dynamic Co-emergence, Complexity, Experience, and the Embodied mind →
  • Giorgio Bertini

    Research Professor on society, culture, art, cognition, critical thinking, intelligence, creativity, neuroscience, autopoiesis, self-organization,  complexity, systems, networks, rhizomes, leadership, sustainability, thinkers, futures ++

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