Strategies for improving resilience, incorporating complexity theory, risk analysis, and systems thinking with a rigorous mathematical treatment
The Science of Resilience delves into the fascinating field of resilience science, exploring how various systems, ranging from physical infrastructure to social networks, can withstand and recover from disruptions. This interdisciplinary subject combines principles from complexity theory, risk analysis, and systems thinking to understand and mitigate the impacts of events like natural disasters, cyber-attacks, and economic crises. By using mathematical models and real-world examples, the book provides practical tools and strategies for designing resilient systems that can adapt and thrive in the face of uncertainty.
Written by a highly qualified author with significant experience in the field, this book:
Addressing an important gap in risk and resilience literature, this book offers valuable insights for engineering and systems design professionals, complexity science and risk analysis researchers, and graduate students in related fields, as well as anyone interested in the science of resilience.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Ted G. Lewis is an author and computer scientist with expertise in applied complexity theory, homeland security, infrastructure systems, and early-stage startup strategies. He was inducted into the Oregon State University Engineering Hall of Fame in 2021. He has served in government, industry, and academia over an extensive career. He has also served as the Editor-in-Chief of several periodicals including IEEE Computer Magazine and is a member of the IEEE Computer Society Board of Governors.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. Strategies for improving resilience, incorporating complexity theory, risk analysis, and systems thinking with a rigorous mathematical treatment The Science of Resilience delves into the fascinating field of resilience science, exploring how various systems, ranging from physical infrastructure to social networks, can withstand and recover from disruptions. This interdisciplinary subject combines principles from complexity theory, risk analysis, and systems thinking to understand and mitigate the impacts of events like natural disasters, cyber-attacks, and economic crises. By using mathematical models and real-world examples, the book provides practical tools and strategies for designing resilient systems that can adapt and thrive in the face of uncertainty. Written by a highly qualified author with significant experience in the field, this book: Covers synchronization, bottleneck analysis, epidemic modeling, social network disinformation and how to counter it, and restructuring a system to increase resilience Explains phase change and shows how to apply it to general complex systems Integrates rigorous mathematical models with real-world applications through mini case studies and hypothetical examples covering physical, economic, and social systems Provides tools and strategies to design resilient systems, analyze potential risks, and plain for resilience Addressing an important gap in risk and resilience literature, this book offers valuable insights for engineering and systems design professionals, complexity science and risk analysis researchers, and graduate students in related fields, as well as anyone interested in the science of resilience. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781394354924
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