2013•Encyclopedia of Social WorkRequires access

Complex Systems Science and Social Work

Keith Warren

Open publisher page 5 citations

Abstract

Abstract Extending social work’s familiarity with the metaphorical use of systems concepts, formal systems science enables macro social workers pathways of understanding and description of system-level behavior. Systems, in a formal sense, are coherently organized and interconnected sets of parts that, when operating together, perform a function. The behaviors of complex systems are not reducible to the behavior of individual components, and behaviors of systems are unique to the system as a whole. We introduce a formal approach to systems thinking, provide an overview of central concepts in complex systems analysis, and conclude with an in-depth example of an agent-based simulation model, which puts complex systems thinking into action in a research and practice context.

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What this paper is about

Abstract Extending social work’s familiarity with the metaphorical use of systems concepts, formal systems science enables macro social workers pathways of understanding and description of system-level behavior. Systems, in a formal sense, are coherently organized and interconnected sets of parts that, when operating together, perform a function. The behaviors of complex systems are not reducible to the behavior of individual components, and behaviors of systems are unique to the system as a whole. We introduce a formal approach to systems thinking, provide an overview of central concepts in complex systems analysis, and conclude with an in-depth example of an agent-based simulation model, which puts complex systems thinking into action in a research and practice context.

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Available abstract

Abstract Extending social work’s familiarity with the metaphorical use of systems concepts, formal systems science enables macro social workers pathways of understanding and description of system-level behavior. Systems, in a formal sense, are coherently organized and interconnected sets of parts that, when operating together, perform a function. The behaviors of complex systems are not reducible to the behavior of individual components, and behaviors of systems are unique to the system as a whole. We introduce a formal approach to systems thinking, provide an overview of central concepts in complex systems analysis, and conclude with an in-depth example of an agent-based simulation model, which puts complex systems thinking into action in a research and practice context.

Key concepts: Complex system, Social system, Computer science, Action (physics), Systems thinking, Context (archaeology), Function (biology), Macro

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