Complexity theory provides a promising framework for conducting social work research and evaluation. Readers will gain an understanding of the background, current applications, and agent-based modeling as a new approach for creating simulations. To advance this line of inquiry a complexity research agenda for social work is developed.
Complexity theory provides a promising framework for conducting social work research and evaluation. Readers will gain an understanding of the background, current applications, and agent-based modeling as a new approach for creating simulations. To advance this line of inquiry a complexity research agenda for social work is developed.
Michael Wolf-Branigin, PhD, is Associate Professor of Social Work at George Mason University.
Inhaltsangabe
Preface 1. Introduction: The History and Theory of Complexity 2. Framing Social Services as Complex Systems 3. Research and Evaluation Methods for Complexity 4. Shifting from a Metaphorical to a Mathematical Approach 5. Social Work Applications of Complexity 6. Introduction to Agent-based Modeling 7. Developing Agent-based Models 8. Concluding Remarks and Proposed Research Agenda Appendix A. Code for Example One Appendix B. Code for Example Two Appendix C. Example of an Agent-Based Model Report Appendix D. Additional Resources Glossary Notes References Index
Preface 1. Introduction: The History and Theory of Complexity 2. Framing Social Services as Complex Systems 3. Research and Evaluation Methods for Complexity 4. Shifting from a Metaphorical to a Mathematical Approach 5. Social Work Applications of Complexity 6. Introduction to Agent-based Modeling 7. Developing Agent-based Models 8. Concluding Remarks and Proposed Research Agenda Appendix A. Code for Example One Appendix B. Code for Example Two Appendix C. Example of an Agent-Based Model Report Appendix D. Additional Resources Glossary Notes References Index
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