Social Systems Engineering : The Design of Complexity.

Intro -- Title Page -- Copyright Page -- Contents -- List of Contributors -- Preface -- Introduction: The Why, What and How of Social Systems Engineering -- The Very Idea -- Epistemic Notions on the Engineering of Social Systems -- Using Engineering Methods -- Into Real-World Applications -- References -- Part 1 Social Systems Engineering: The Very Idea -- Chapter 1 Compromised Exactness and the Rationality of Engineering -- 1.1 Introduction -- 1.2 The Historical Context -- 1.3 Science and Engineering: Distinctive Rationalities -- 1.4 'Compromised Exactness': Design in Engineering -- 1.5 Engineering Social Systems? -- References -- Chapter 2 Uncertainty in the Design and Maintenance of Social Systems -- 2.1 Introduction -- 2.2 Uncertainties in Simple and Complicated Engineered Systems -- 2.3 Control Volume and Uncertainty -- 2.4 Engineering Analysis and Uncertainty in Complex Systems -- 2.5 Uncertainty in Social Systems Engineering -- 2.6 Conclusions -- References -- Chapter 3 System Farming -- 3.1 Introduction -- 3.2 Uncertainty, Complexity and Emergence -- 3.2.1 The Double Complexity of CSS -- 3.3 Science and Engineering Approaches -- 3.3.1 The Impossibility of a Purely Design-Based Engineering Approach to CSS -- 3.3.2 Design vs. Adaptation -- 3.3.3 The Necessity of Strongly Validated Foundations for Design-Based Approaches -- 3.4 Responses to CSS Complexity -- 3.4.1 Formal Methods -- 3.4.2 Statistical Approaches -- 3.4.3 Self-adaptive and Adaptive Systems -- 3.4.4 Participatory Approaches and Rapid Prototyping -- 3.5 Towards Farming Systems -- 3.5.1 Reliability from Experience Rather Than Control of Construction -- 3.5.2 Post-Construction Care Rather Than Prior Effort -- 3.5.3 Continual Tinkering Rather Than One-Off Effort -- 3.5.4 Multiple Fallible Mechanisms Rather Than One Reliable Mechanism -- 3.5.5 Monitoring Rather Than Prediction.

3.5.6 Disaster Aversion Rather Than Optimizing Performance -- 3.5.7 Partial Rather Than Full Understanding -- 3.5.8 Specific Rather Than Abstract Modelling -- 3.5.9 Many Models Rather Than One -- 3.5.10 A Community Rather Than Individual Effort -- 3.6 Conclusion -- References -- Chapter 4 Policy between Evolution and Engineering -- 4.1 Introduction: Individual and Social System -- 4.2 Policy - Concept and Process -- 4.3 Human Actors: Perception, Policy and Action -- 4.4 Artefacts -- 4.5 Engineering and Evolution: From External to Internal Selection -- 4.6 Policy between Cultural Evolution and Engineering -- 4.7 Conclusions and Outlook -- Appendix: Brief Overview of the Policy Literature -- References -- Chapter 5 'Friend' versus 'Electronic Friend' -- References -- Part II Methodologies and Tools -- Chapter 6 Interactive Visualizations for Supporting Decision-Making in Complex Socio-technical Systems -- 6.1 Introduction -- 6.2 Policy Flight Simulators -- 6.2.1 Background -- 6.2.2 Multi-level Modelling -- 6.2.3 People's Use of Simulators -- 6.3 Application 1 - Hospital Consolidation -- 6.3.1 Model Overview -- 6.3.2 Results and Conclusions -- 6.4 Application 2 - Enterprise Diagnostics -- 6.4.1 Automobile Industry Application -- 6.4.2 Interactive Visualization -- 6.4.3 Experimental Evaluation -- 6.4.4 Results and Discussion -- 6.4.5 Implications -- 6.5 Conclusions -- References -- Chapter 7 Developing Agent-Based Simulation Models for Social Systems Engineering Studies: A Novel Framework and its Application to Modelling Peacebuilding Activities -- 7.1 Introduction -- 7.2 Background -- 7.2.1 Simulation -- 7.2.2 Peacebuilding -- 7.3 Framework -- 7.3.1 Toolkit Design -- 7.3.2 Application Design -- 7.4 Illustrative Example of Applying the Framework -- 7.4.1 Peacebuilding Toolkit Design -- 7.4.2 Peacebuilding Application Design.

7.4.3 Engineering Actions and Interventions in a Peacebuilding Context -- 7.5 Conclusions -- References -- Chapter 8 Using Actor-Network Theory in Agent-Based Modelling -- 8.1 Introduction -- 8.2 Agent-Based Modelling -- 8.2.1 ABM Approaches -- 8.2.2 Agent Interactions -- 8.3 Actor-Network Theory -- 8.4 Towards an ANT-Based Approach to ABM -- 8.4.1 ANT Concepts Related to ABM -- 8.5 Design Guidelines -- 8.6 The Case of WEEE Management -- 8.6.1 Contextualizing the Case Study -- 8.6.2 ANT Applied to WEEE Management in Colombia -- 8.6.3 ANT-ABM Translation Based on the Case Study -- 8.6.4 Open Issues and Reflections -- 8.7 Conclusions -- References -- Chapter 9 Engineering the Process of Institutional Innovation in Contested Territory -- 9.1 Introduction -- 9.2 Can Cyber Security and Risk be Quantified? -- 9.2.1 Schools of Thought -- 9.3 Social Processes of Innovation in Pre‐paradigmatic Fields -- 9.3.1 Epistemic and Ontological Rivalry -- 9.3.2 Knowledge Artefacts -- 9.3.3 Implications of Theory -- 9.4 A Computational Model of Innovation -- 9.4.1 Base Model: Innovation as Percolation -- 9.4.2 Full Model: Innovation with Knowledge Artefacts -- 9.4.3 Experiment -- 9.5 Discussion -- Acknowledgements -- References -- Part III Cases and Applications -- Chapter 10 Agent-Based Explorations of Environmental Consumption in Segregated Networks -- 10.1 Introduction -- 10.1.1 Micro-drivers of Technology Adoption -- 10.1.2 The Problem of Network Segregation -- 10.2 Model Overview -- 10.2.1 Synopsis of Model Parameters -- 10.2.2 Agent Selection by Firms -- 10.2.3 Agent Adoption Decisions -- 10.3 Results -- 10.3.1 Influence of Firm Strategy on Saturation Times -- 10.3.2 Characterizing Adoption Dynamics -- 10.3.3 Incentivizing Different Strategies -- 10.4 Conclusion -- Acknowledgements -- References.

Chapter 11 Modelling in the 'Muddled Middle': A Case Study of Water Service Delivery in Post-Apartheid South Africa -- 11.1 Introduction -- 11.2 The Case Study -- 11.3 Contextualizing Modelling in the 'Muddled Middle' in the Water Sector -- 11.4 Methods -- 11.5 Results -- 11.6 Discussion -- Acknowledgements -- References -- Chapter 12 Holistic System Design: The Oncology Carinthia Study -- 12.1 The Challenge: Holistic System Design -- 12.2 Methodology -- 12.3 Introduction to the Case Study: Oncology Carinthia -- 12.3.1 Setting the Stage -- 12.3.2 Framing: Purpose and Overall Goals (F) -- 12.3.3 Mapping the System at the Outset (M) -- 12.3.4 A First Model (M) and Assessment (A) -- 12.3.5 The Challenge Ahead -- 12.3.6 A First Take on Design (D): Ascertaining Levers -- 12.3.7 From Design (D) to Change (C) -- 12.3.8 Progress in Organizational Design (D) -- 12.3.9 The Evolution of Oncology Carinthia (C) -- 12.3.10 Results -- 12.4 Insights, Teachings and Implications -- Acknowledgements -- Appendix: Mathematical Representations for Figures 12.5, 12.6 and 12.7 -- A1: VSM, for any System-in-Focus (one level of recursion -- ref. Figure 12.5) -- A2: Recursive Structure of the VSM (ref. Figure 12.6) -- A3: Virtual Teams (ref. Figure 12.7) -- References -- Chapter 13 Reinforcing the Social in Social Systems Engineering - Lessons Learnt from Smart City Projects in the United Kingdom -- 13.1 Introduction -- 13.1.1 Cities as Testbeds -- 13.1.2 Smart Cities as Artificial Systems -- 13.1.3 Chapter Structure -- 13.2 Methodology -- 13.3 Case Studies -- 13.3.1 Glasgow -- 13.3.2 London -- 13.3.3 Bristol -- 13.3.4 Peterborough -- 13.4 Discussion -- 13.4.1 Push/Pull Adoption Model -- 13.4.2 Civic Engagement -- 13.4.3 Solutions and Problems -- 13.4.4 Metrics, Quantification and Optimization -- 13.4.5 Project Scope and Lifecycles.

13.4.6 Collaboration and Multidisciplinarity -- 13.4.7 Knowledge-Sharing -- 13.5 Conclusion -- References -- Index -- EULA.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.