{"product_id":"social-systems-engineering-9781118974452","title":"Social Systems Engineering","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eUniquely reflects an engineering view to social systems in a wide variety of contexts of application\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eSocial Systems Engineering: The Design of Complexity\u003c\/i\u003e brings together a wide variety of application approaches to social systems from an engineering viewpoint. The book defines a social system as any complex system formed by human beings. Focus is given to the importance of systems intervention design for specific and singular settings, the possibilities of engineering thinking and methods, the use of computational models in particular contexts, and the development of portfolios of solutions. Furthermore, this book considers both technical, human and social perspectives, which are crucial to solving complex problems.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eSocial Systems Engineering: The Design of Complexity\u003c\/i\u003e provides modelling examples to explore the design aspect of social systems. Various applications are explored in a variety of areas, such as urban systems, health care systems, socio-e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eList of Contributors xi\u003c\/p\u003e \u003cp\u003ePreface xiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIntroduction: The Why, What and How of Social Systems Engineering 1\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eCésar García-Díaz and Camilo Olaya\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I SOCIAL SYSTEMS ENGINEERING: THE VERY IDEA 11\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Compromised Exactness and the Rationality of Engineering 13\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eSteven L. Goldman\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 13\u003c\/p\u003e \u003cp\u003e1.2 The Historical Context 14\u003c\/p\u003e \u003cp\u003e1.3 Science and Engineering: Distinctive Rationalities 20\u003c\/p\u003e \u003cp\u003e1.4 ‘Compromised Exactness’: Design in Engineering 23\u003c\/p\u003e \u003cp\u003e1.5 Engineering Social Systems? 26\u003c\/p\u003e \u003cp\u003eReferences 29\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Uncertainty in the Design and Maintenance of Social Systems 31\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eWilliam M. Bulleit\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 31\u003c\/p\u003e \u003cp\u003e2.2 Uncertainties in Simple and Complicated Engineered Systems 33\u003c\/p\u003e \u003cp\u003e2.3 Control Volume and Uncertainty 35\u003c\/p\u003e \u003cp\u003e2.4 Engineering Analysis and Uncertainty in Complex Systems 37\u003c\/p\u003e \u003cp\u003e2.5 Uncertainty in Social Systems Engineering 39\u003c\/p\u003e \u003cp\u003e2.6 Conclusions 42\u003c\/p\u003e \u003cp\u003eReferences 42\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 System Farming 45\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eBruce Edmonds\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 45\u003c\/p\u003e \u003cp\u003e3.2 Uncertainty, Complexity and Emergence 46\u003c\/p\u003e \u003cp\u003e3.2.1 The Double Complexity of CSS 48\u003c\/p\u003e \u003cp\u003e3.3 Science and Engineering Approaches 49\u003c\/p\u003e \u003cp\u003e3.3.1 The Impossibility of a Purely Design-Based Engineering Approach to CSS 51\u003c\/p\u003e \u003cp\u003e3.3.2 Design vs. Adaptation 52\u003c\/p\u003e \u003cp\u003e3.3.3 The Necessity of Strongly Validated Foundations for Design-Based Approaches 53\u003c\/p\u003e \u003cp\u003e3.4 Responses to CSS Complexity 54\u003c\/p\u003e \u003cp\u003e3.4.1 Formal Methods 54\u003c\/p\u003e \u003cp\u003e3.4.2 Statistical Approaches 55\u003c\/p\u003e \u003cp\u003e3.4.3 Self-adaptive and Adaptive Systems 57\u003c\/p\u003e \u003cp\u003e3.4.4 Participatory Approaches and Rapid Prototyping 57\u003c\/p\u003e \u003cp\u003e3.5 Towards Farming Systems 58\u003c\/p\u003e \u003cp\u003e3.5.1 Reliability from Experience Rather Than Control of Construction 58\u003c\/p\u003e \u003cp\u003e3.5.2 Post-Construction Care Rather Than Prior Effort 58\u003c\/p\u003e \u003cp\u003e3.5.3 Continual Tinkering Rather Than One-Off Effort 59\u003c\/p\u003e \u003cp\u003e3.5.4 Multiple Fallible Mechanisms Rather Than One Reliable Mechanism 59\u003c\/p\u003e \u003cp\u003e3.5.5 Monitoring Rather Than Prediction 59\u003c\/p\u003e \u003cp\u003e3.5.6 Disaster Aversion Rather Than Optimizing Performance 59\u003c\/p\u003e \u003cp\u003e3.5.7 Partial Rather Than Full Understanding 59\u003c\/p\u003e \u003cp\u003e3.5.8 Specific Rather Than Abstract Modelling 60\u003c\/p\u003e \u003cp\u003e3.5.9 Many Models Rather Than One 60\u003c\/p\u003e \u003cp\u003e3.5.10 A Community Rather Than Individual Effort 60\u003c\/p\u003e \u003cp\u003e3.6 Conclusion 60\u003c\/p\u003e \u003cp\u003eReferences 61\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Policy between Evolution and Engineering 65\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eMartin F.G. Schaffernicht\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction: Individual and Social System 65\u003c\/p\u003e \u003cp\u003e4.2 Policy – Concept and Process 67\u003c\/p\u003e \u003cp\u003e4.3 Human Actors: Perception, Policy and Action 70\u003c\/p\u003e \u003cp\u003e4.4 Artefacts 73\u003c\/p\u003e \u003cp\u003e4.5 Engineering and Evolution: From External to Internal Selection 76\u003c\/p\u003e \u003cp\u003e4.6 Policy between Cultural Evolution and Engineering 79\u003c\/p\u003e \u003cp\u003e4.7 Conclusions and Outlook 82\u003c\/p\u003e \u003cp\u003eAppendix: Brief Overview of the Policy Literature 83\u003c\/p\u003e \u003cp\u003eReferences 86\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 ‘Friend’ versus ‘Electronic Friend’ 91\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eJoseph C. Pitt\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eReferences 99\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II METHODOLOGIES AND TOOLS 101\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Interactive Visualizations for Supporting Decision-Making in Complex Socio-technical Systems 103\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eZhongyuan Yu, Mehrnoosh Oghbaie, Chen Liu, William B. Rouse and Michael J. Pennock\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 103\u003c\/p\u003e \u003cp\u003e6.2 Policy Flight Simulators 104\u003c\/p\u003e \u003cp\u003e6.2.1 Background 104\u003c\/p\u003e \u003cp\u003e6.2.2 Multi-level Modelling 105\u003c\/p\u003e \u003cp\u003e6.2.3 People’s Use of Simulators 106\u003c\/p\u003e \u003cp\u003e6.3 Application 1 – Hospital Consolidation 108\u003c\/p\u003e \u003cp\u003e6.3.1 Model Overview 110\u003c\/p\u003e \u003cp\u003e6.3.2 Results and Conclusions 117\u003c\/p\u003e \u003cp\u003e6.4 Application 2 – Enterprise Diagnostics 118\u003c\/p\u003e \u003cp\u003e6.4.1 Automobile Industry Application 119\u003c\/p\u003e \u003cp\u003e6.4.2 Interactive Visualization 122\u003c\/p\u003e \u003cp\u003e6.4.3 Experimental Evaluation 125\u003c\/p\u003e \u003cp\u003e6.4.4 Results and Discussion 125\u003c\/p\u003e \u003cp\u003e6.4.5 Implications 128\u003c\/p\u003e \u003cp\u003e6.5 Conclusions 128\u003c\/p\u003e \u003cp\u003eReferences 129\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Developing Agent-Based Simulation Models for Social Systems Engineering Studies: A Novel\u003c\/b\u003e \u003cb\u003eFramework and its Application to Modelling Peacebuilding Activities 133\u003cbr\u003e\u003c\/b\u003e\u003ci\u003ePeer-Olaf Siebers, Grazziela P. Figueredo, Miwa Hirono and Anya Skatova\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 133\u003c\/p\u003e \u003cp\u003e7.2 Background 134\u003c\/p\u003e \u003cp\u003e7.2.1 Simulation 134\u003c\/p\u003e \u003cp\u003e7.2.2 Peacebuilding 135\u003c\/p\u003e \u003cp\u003e7.3 Framework 137\u003c\/p\u003e \u003cp\u003e7.3.1 Toolkit Design 138\u003c\/p\u003e \u003cp\u003e7.3.2 Application Design 142\u003c\/p\u003e \u003cp\u003e7.4 Illustrative Example of Applying the Framework 143\u003c\/p\u003e \u003cp\u003e7.4.1 Peacebuilding Toolkit Design 143\u003c\/p\u003e \u003cp\u003e7.4.2 Peacebuilding Application Design 149\u003c\/p\u003e \u003cp\u003e7.4.3 Engineering Actions and Interventions in a Peacebuilding Context 153\u003c\/p\u003e \u003cp\u003e7.5 Conclusions 155\u003c\/p\u003e \u003cp\u003eReferences 155\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Using Actor-Network Theory in Agent-Based Modelling 157\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eSandra Méndez-Fajardo, Rafael A. Gonzalez and Ricardo A. Barros-Castro\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 157\u003c\/p\u003e \u003cp\u003e8.2 Agent-Based Modelling 158\u003c\/p\u003e \u003cp\u003e8.2.1 ABM Approaches 159\u003c\/p\u003e \u003cp\u003e8.2.2 Agent Interactions 160\u003c\/p\u003e \u003cp\u003e8.3 Actor-Network Theory 160\u003c\/p\u003e \u003cp\u003e8.4 Towards an ANT-Based Approach to ABM 162\u003c\/p\u003e \u003cp\u003e8.4.1 ANT Concepts Related to ABM 162\u003c\/p\u003e \u003cp\u003e8.5 Design Guidelines 163\u003c\/p\u003e \u003cp\u003e8.6 The Case of WEEE Management 166\u003c\/p\u003e \u003cp\u003e8.6.1 Contextualizing the Case Study 167\u003c\/p\u003e \u003cp\u003e8.6.2 ANT Applied to WEEE Management in Colombia 168\u003c\/p\u003e \u003cp\u003e8.6.3 ANT–ABM Translation Based on the Case Study 172\u003c\/p\u003e \u003cp\u003e8.6.4 Open Issues and Reflections 173\u003c\/p\u003e \u003cp\u003e8.7 Conclusions 174\u003c\/p\u003e \u003cp\u003eReferences 175\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Engineering the Process of Institutional Innovation in Contested Territory 179\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eRussell C. Thomas and John S. Gero\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 179\u003c\/p\u003e \u003cp\u003e9.2 Can Cyber Security and Risk be Quantified? 181\u003c\/p\u003e \u003cp\u003e9.2.1 Schools of Thought 181\u003c\/p\u003e \u003cp\u003e9.3 Social Processes of Innovation in Pre-paradigmatic Fields 183\u003c\/p\u003e \u003cp\u003e9.3.1 Epistemic and Ontological Rivalry 183\u003c\/p\u003e \u003cp\u003e9.3.2 Knowledge Artefacts 184\u003c\/p\u003e \u003cp\u003e9.3.3 Implications of Theory 184\u003c\/p\u003e \u003cp\u003e9.4 A Computational Model of Innovation 186\u003c\/p\u003e \u003cp\u003e9.4.1 Base Model: Innovation as Percolation 186\u003c\/p\u003e \u003cp\u003e9.4.2 Full Model: Innovation with Knowledge Artefacts 190\u003c\/p\u003e \u003cp\u003e9.4.3 Experiment 190\u003c\/p\u003e \u003cp\u003e9.5 Discussion 194\u003c\/p\u003e \u003cp\u003eAcknowledgements 194\u003c\/p\u003e \u003cp\u003eReferences 195\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III CASES AND APPLICATIONS 197\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Agent-Based Explorations of Environmental Consumption in Segregated Networks 199\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eAdam Douglas Henry and Heike I. Brugger\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 199\u003c\/p\u003e \u003cp\u003e10.1.1 Micro-drivers of Technology Adoption 201\u003c\/p\u003e \u003cp\u003e10.1.2 The Problem of Network Segregation 202\u003c\/p\u003e \u003cp\u003e10.2 Model Overview 203\u003c\/p\u003e \u003cp\u003e10.2.1 Synopsis of Model Parameters 204\u003c\/p\u003e \u003cp\u003e10.2.2 Agent Selection by Firms 205\u003c\/p\u003e \u003cp\u003e10.2.3 Agent Adoption Decisions 206\u003c\/p\u003e \u003cp\u003e10.3 Results 206\u003c\/p\u003e \u003cp\u003e10.3.1 Influence of Firm Strategy on Saturation Times 207\u003c\/p\u003e \u003cp\u003e10.3.2 Characterizing Adoption Dynamics 208\u003c\/p\u003e \u003cp\u003e10.3.3 Incentivizing Different Strategies 210\u003c\/p\u003e \u003cp\u003e10.4 Conclusion 212\u003c\/p\u003e \u003cp\u003eAcknowledgements 212\u003c\/p\u003e \u003cp\u003eReferences 213\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Modelling in the ‘Muddled Middle’: A Case Study of Water Service Delivery in Post-Apartheid South\u003c\/b\u003e \u003cb\u003eAfrica 215\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eJai K. Clifford-Holmes, Jill H. Slinger, Chris de Wet and Carolyn G. Palmer\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 215\u003c\/p\u003e \u003cp\u003e11.2 The Case Study 216\u003c\/p\u003e \u003cp\u003e11.3 Contextualizing Modelling in the ‘Muddled Middle’ in the Water Sector 217\u003c\/p\u003e \u003cp\u003e11.4 Methods 219\u003c\/p\u003e \u003cp\u003e11.5 Results 220\u003c\/p\u003e \u003cp\u003e11.6 Discussion 228\u003c\/p\u003e \u003cp\u003eAcknowledgements 230\u003c\/p\u003e \u003cp\u003eReferences 231\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Holistic System Design: The Oncology Carinthia Study 235\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eMarkus Schwaninger and Johann Klocker\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 The Challenge: Holistic System Design 235\u003c\/p\u003e \u003cp\u003e12.2 Methodology 236\u003c\/p\u003e \u003cp\u003e12.3 Introduction to the Case Study: Oncology Carinthia 238\u003c\/p\u003e \u003cp\u003e12.3.1 Setting the Stage 238\u003c\/p\u003e \u003cp\u003e12.3.2 Framing: Purpose and Overall Goals (F) 239\u003c\/p\u003e \u003cp\u003e12.3.3 Mapping the System at the Outset (M) 240\u003c\/p\u003e \u003cp\u003e12.3.4 A First Model (M) and Assessment (A) 242\u003c\/p\u003e \u003cp\u003e12.3.5 The Challenge Ahead 245\u003c\/p\u003e \u003cp\u003e12.3.6 A First Take on Design (D): Ascertaining Levers 246\u003c\/p\u003e \u003cp\u003e12.3.7 From Design (D) to Change (C) 248\u003c\/p\u003e \u003cp\u003e12.3.8 Progress in Organizational Design (D) 249\u003c\/p\u003e \u003cp\u003e12.3.9 The Evolution of Oncology Carinthia (C) 258\u003c\/p\u003e \u003cp\u003e12.3.10 Results 259\u003c\/p\u003e \u003cp\u003e12.4 Insights, Teachings and Implications 261\u003c\/p\u003e \u003cp\u003eAcknowledgements 263\u003c\/p\u003e \u003cp\u003eAppendix: Mathematical Representations for Figures 12.5, 12.6 and 12.7 263\u003c\/p\u003e \u003cp\u003eA1: VSM, for any System-in-Focus (one level of recursion; ref. Figure 12.5) 263\u003c\/p\u003e \u003cp\u003eA2: Recursive Structure of the VSM (ref. Figure 12.6) 264\u003c\/p\u003e \u003cp\u003eA3: Virtual Teams (ref. Figure 12.7) 264\u003c\/p\u003e \u003cp\u003eReferences 265\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Reinforcing the Social in Social Systems Engineering – Lessons Learnt from Smart City Projects in the United Kingdom 267\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eJenny O’Connor, Zeynep Gurguc and Koen H. van Dam\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 267\u003c\/p\u003e \u003cp\u003e13.1.1 Cities as Testbeds 268\u003c\/p\u003e \u003cp\u003e13.1.2 Smart Cities as Artificial Systems 268\u003c\/p\u003e \u003cp\u003e13.1.3 Chapter Structure 269\u003c\/p\u003e \u003cp\u003e13.2 Methodology 270\u003c\/p\u003e \u003cp\u003e13.3 Case Studies 271\u003c\/p\u003e \u003cp\u003e13.3.1 Glasgow 271\u003c\/p\u003e \u003cp\u003e13.3.2 London 274\u003c\/p\u003e \u003cp\u003e13.3.3 Bristol 277\u003c\/p\u003e \u003cp\u003e13.3.4 Peterborough 279\u003c\/p\u003e \u003cp\u003e13.4 Discussion 283\u003c\/p\u003e \u003cp\u003e13.4.1 Push\/Pull Adoption Model 283\u003c\/p\u003e \u003cp\u003e13.4.2 Civic Engagement 284\u003c\/p\u003e \u003cp\u003e13.4.3 Solutions and Problems 285\u003c\/p\u003e \u003cp\u003e13.4.4 Metrics, Quantification and Optimization 285\u003c\/p\u003e \u003cp\u003e13.4.5 Project Scope and Lifecycles 286\u003c\/p\u003e \u003cp\u003e13.4.6 Collaboration and Multidisciplinarity 286\u003c\/p\u003e \u003cp\u003e13.4.7 Knowledge-Sharing 287\u003c\/p\u003e \u003cp\u003e13.5 Conclusion 287\u003c\/p\u003e \u003cp\u003eReferences 288\u003c\/p\u003e \u003cp\u003eIndex 291\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49528843075927,"sku":"9781118974452","price":79.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781118974452.jpg?v=1731873239","url":"https:\/\/bookcurl.com\/products\/social-systems-engineering-9781118974452","provider":"Book Curl","version":"1.0","type":"link"}