Uncertainty Deconstructed

Uncertainty Deconstructed

Author: Bruce Garvey

Publisher: Springer Nature

Published: 2022-08-26

Total Pages: 316

ISBN-13: 3031080076

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This book argues that uncertainty is not really uncertainty at all but just demonstrates a lack of vision and willingness to think about the unthinkable – good and bad. The task of accepting that uncertainty is about exploring the possible, rather than the impossible has to be taken on board by strategists, policy developers, and political leaders, if we are to meet the challenges that an ever changing world is throwing at us. The term “unknown – unknowns” is ubiquitous, albeit the vast majority of future uncertain events do not fall into this category. However, it has been used to absolve decision makers from criticism post-event, whereas poor foresight is the prime culprit and that most future uncertainties are “known-unknowns” or “inevitable surprises”. This re-positioning of uncertainties can help mitigate the impact of such risks through better foresight aware contingency planning. The enemy is not uncertainty itself but our lack of imagination when trying to visualize the future – we need to transform our behaviour. To better understand uncertainty we have to deconstruct it and get to grips with its component parts. Three main questions are posed and practical approaches presented: What are the main structural components that make up the conditions under which uncertainty operates? What scenario lenses can be used when exploring uncertainty? What behavioural factors do we need to consider when analysing the human responses to uncertainty? Practitioners, having to deal with making better decisions under uncertainty, will find the book a useful guide. Endorsements for the book: "With this book, Bruce Garvey performs a great service for consultants, planners and, indeed, anyone whose job involves a degree of speculation about what will happen in the future. Through a comprehensive survey of methods, tools and techniques, he provides a practical guide to unpacking the uncertainty that besets all human endeavour. This is no dry academic treatise: it deals with highly contemporary topics such as “fake news” – part of a fascinating dissection of “dark data” – and how our biases and preconceptions shape our views. The book finishes with three case studies dealing with the Covid-19 pandemic, social mobility and inequality, and achieving net zero – all topics that are sorely in need of the critical thinking and analysis skills described previously. No one can completely eliminate “20:20 hindsight” from all business decisions but readers applying the lessons of this book may find themselves saying “if only we’d known...” less frequently." -- Nick Bush, Director - CMCE (Centre for Management Consulting Excellence) "Academic literature and practical guides to uncertainty management are disparate: this exciting edition brings it all together. Principal author, Bruce Garvey, recognises the erroneous attribution of many recent events to unforeseeable uncertainty (‘unknown unknowns’), calling these out as inevitable surprises (or ‘unknown knowns’), a category of uncertainty that is typically overlooked. Garvey describes critical dimensions of uncertainty, before examining scenarios and behavioural aspects, the latter being a ‘hidden influencer’ which is too often neglected. The guidebook contains a variety of methods, tools and techniques, including several that deserve more use, and contains a detailed glossary and reference list. Practical advice covers topics such as identifying weak signals for use in scenario development and overcoming cognitive dissonance. This well-structured and engagingly written guide should serve as a standard text for students, academics and practitioners across policy making, business, and industry." -- Dr. Geoff Darch, Water Resources Strategy Manager, Anglian Water. Co-Founder, Analysis under Uncertainty for Decision-Makers (AU4DM) Network "This is a valuable companion volume to John Kay and Mervyn King's Radical Uncertainty - and it is a necessary corrective to the physics envy of disciplines such as economics which achieve a false sense of certainty by creating highly plausible but unreliable simplifications of things through over generalisation - leading to simplistic proposals for interventions which can only rightly be judged through a lens of complexity and probability. I would like to be more optimistic about the ultimate effects of books of this kind - and in some fields, perhaps in military decision-making and defence I am quite optimistic. In such fields, people tend to approach decision-making through the assumption that things will go wrong, and that the effects of any mistakes will be very keenly, perhaps fatally experienced. In business and softer social policy-making, I fear the battle will be much harder. In such fields as politics and business, it is often better for the reputation "as Keynes remarked, "to fail conventionally than to succeed unconventionally." In such fields, it is more important to make defensible decisions than to make good decisions, so an artificial sense of logical certainty will perhaps always hold an unhealthy appeal. But here's hoping anyway!" -- Rory Sutherland, Vice Chairman, Ogilvy Group "Here is a most insightful book, which holistically examines the ‘world of uncertainty', particularly as it impacts sense- to decision-making processes for many different stakeholders. Both scholars and practitioners, strategists to operators, soon gain from reading. Journeying from theory to practice, we embark on a comprehensive definition of uncertainty to subsequently become better equipped for its greater contemporary navigation when going forward, all elucidated by several well-structured scenarios and case-study examples. How uncertainty relates to risk (both qualitative and quantitative) is systematically charted, articulating their close interactivity. Forming a successful guide, this book has much enduring reference value and is therefore deserving of being readily retrievable as events and developments benefit from their improved understanding. Uncertainty can demonstrably be negotiated much more effectively. Alternative situations and conditions of denial, lamented as ‘we should have (fore)seen that’, no longer stand as acceptable when it comes to anticipating futures ahead. With this book, further help is now at hand." -- Adam D.M. Svendsen, PhD, International Intelligence & Defence Strategist, Researcher, Analyst, Educator & Consultant


Book Synopsis Uncertainty Deconstructed by : Bruce Garvey

Download or read book Uncertainty Deconstructed written by Bruce Garvey and published by Springer Nature. This book was released on 2022-08-26 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book argues that uncertainty is not really uncertainty at all but just demonstrates a lack of vision and willingness to think about the unthinkable – good and bad. The task of accepting that uncertainty is about exploring the possible, rather than the impossible has to be taken on board by strategists, policy developers, and political leaders, if we are to meet the challenges that an ever changing world is throwing at us. The term “unknown – unknowns” is ubiquitous, albeit the vast majority of future uncertain events do not fall into this category. However, it has been used to absolve decision makers from criticism post-event, whereas poor foresight is the prime culprit and that most future uncertainties are “known-unknowns” or “inevitable surprises”. This re-positioning of uncertainties can help mitigate the impact of such risks through better foresight aware contingency planning. The enemy is not uncertainty itself but our lack of imagination when trying to visualize the future – we need to transform our behaviour. To better understand uncertainty we have to deconstruct it and get to grips with its component parts. Three main questions are posed and practical approaches presented: What are the main structural components that make up the conditions under which uncertainty operates? What scenario lenses can be used when exploring uncertainty? What behavioural factors do we need to consider when analysing the human responses to uncertainty? Practitioners, having to deal with making better decisions under uncertainty, will find the book a useful guide. Endorsements for the book: "With this book, Bruce Garvey performs a great service for consultants, planners and, indeed, anyone whose job involves a degree of speculation about what will happen in the future. Through a comprehensive survey of methods, tools and techniques, he provides a practical guide to unpacking the uncertainty that besets all human endeavour. This is no dry academic treatise: it deals with highly contemporary topics such as “fake news” – part of a fascinating dissection of “dark data” – and how our biases and preconceptions shape our views. The book finishes with three case studies dealing with the Covid-19 pandemic, social mobility and inequality, and achieving net zero – all topics that are sorely in need of the critical thinking and analysis skills described previously. No one can completely eliminate “20:20 hindsight” from all business decisions but readers applying the lessons of this book may find themselves saying “if only we’d known...” less frequently." -- Nick Bush, Director - CMCE (Centre for Management Consulting Excellence) "Academic literature and practical guides to uncertainty management are disparate: this exciting edition brings it all together. Principal author, Bruce Garvey, recognises the erroneous attribution of many recent events to unforeseeable uncertainty (‘unknown unknowns’), calling these out as inevitable surprises (or ‘unknown knowns’), a category of uncertainty that is typically overlooked. Garvey describes critical dimensions of uncertainty, before examining scenarios and behavioural aspects, the latter being a ‘hidden influencer’ which is too often neglected. The guidebook contains a variety of methods, tools and techniques, including several that deserve more use, and contains a detailed glossary and reference list. Practical advice covers topics such as identifying weak signals for use in scenario development and overcoming cognitive dissonance. This well-structured and engagingly written guide should serve as a standard text for students, academics and practitioners across policy making, business, and industry." -- Dr. Geoff Darch, Water Resources Strategy Manager, Anglian Water. Co-Founder, Analysis under Uncertainty for Decision-Makers (AU4DM) Network "This is a valuable companion volume to John Kay and Mervyn King's Radical Uncertainty - and it is a necessary corrective to the physics envy of disciplines such as economics which achieve a false sense of certainty by creating highly plausible but unreliable simplifications of things through over generalisation - leading to simplistic proposals for interventions which can only rightly be judged through a lens of complexity and probability. I would like to be more optimistic about the ultimate effects of books of this kind - and in some fields, perhaps in military decision-making and defence I am quite optimistic. In such fields, people tend to approach decision-making through the assumption that things will go wrong, and that the effects of any mistakes will be very keenly, perhaps fatally experienced. In business and softer social policy-making, I fear the battle will be much harder. In such fields as politics and business, it is often better for the reputation "as Keynes remarked, "to fail conventionally than to succeed unconventionally." In such fields, it is more important to make defensible decisions than to make good decisions, so an artificial sense of logical certainty will perhaps always hold an unhealthy appeal. But here's hoping anyway!" -- Rory Sutherland, Vice Chairman, Ogilvy Group "Here is a most insightful book, which holistically examines the ‘world of uncertainty', particularly as it impacts sense- to decision-making processes for many different stakeholders. Both scholars and practitioners, strategists to operators, soon gain from reading. Journeying from theory to practice, we embark on a comprehensive definition of uncertainty to subsequently become better equipped for its greater contemporary navigation when going forward, all elucidated by several well-structured scenarios and case-study examples. How uncertainty relates to risk (both qualitative and quantitative) is systematically charted, articulating their close interactivity. Forming a successful guide, this book has much enduring reference value and is therefore deserving of being readily retrievable as events and developments benefit from their improved understanding. Uncertainty can demonstrably be negotiated much more effectively. Alternative situations and conditions of denial, lamented as ‘we should have (fore)seen that’, no longer stand as acceptable when it comes to anticipating futures ahead. With this book, further help is now at hand." -- Adam D.M. Svendsen, PhD, International Intelligence & Defence Strategist, Researcher, Analyst, Educator & Consultant


Uncertainty

Uncertainty

Author: Millett Granger Morgan

Publisher: Cambridge University Press

Published: 1990-08-31

Total Pages: 376

ISBN-13: 113993581X

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The authors explain the ways in which uncertainty is an important factor in the problems of risk and policy analysis. This book outlines the source and nature of uncertainty, discusses techniques for obtaining and using expert judgment, and reviews a variety of simple and advanced methods for analyzing uncertainty.


Book Synopsis Uncertainty by : Millett Granger Morgan

Download or read book Uncertainty written by Millett Granger Morgan and published by Cambridge University Press. This book was released on 1990-08-31 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors explain the ways in which uncertainty is an important factor in the problems of risk and policy analysis. This book outlines the source and nature of uncertainty, discusses techniques for obtaining and using expert judgment, and reviews a variety of simple and advanced methods for analyzing uncertainty.


Reducing Uncertainty

Reducing Uncertainty

Author: Thomas Fingar

Publisher: Stanford University Press

Published: 2011-07-20

Total Pages: 192

ISBN-13: 080477594X

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This book describes what Intelligence Community (IC) analysts do, how they do it, and how they are affected by the political context that shapes, uses, and sometimes abuses their output. It is written by a 25-year intelligence professional.


Book Synopsis Reducing Uncertainty by : Thomas Fingar

Download or read book Reducing Uncertainty written by Thomas Fingar and published by Stanford University Press. This book was released on 2011-07-20 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes what Intelligence Community (IC) analysts do, how they do it, and how they are affected by the political context that shapes, uses, and sometimes abuses their output. It is written by a 25-year intelligence professional.


An Introduction to Error Analysis

An Introduction to Error Analysis

Author: John Robert Taylor

Publisher: Univ Science Books

Published: 1997-01-01

Total Pages: 327

ISBN-13: 9780935702422

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Problems after each chapter


Book Synopsis An Introduction to Error Analysis by : John Robert Taylor

Download or read book An Introduction to Error Analysis written by John Robert Taylor and published by Univ Science Books. This book was released on 1997-01-01 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Problems after each chapter


Uncertainty Analysis for Engineers and Scientists

Uncertainty Analysis for Engineers and Scientists

Author: Faith A. Morrison

Publisher: Cambridge University Press

Published: 2021-01-07

Total Pages: 389

ISBN-13: 1108478352

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Build the skills for determining appropriate error limits for quantities that matter with this essential toolkit. Understand how to handle a complete project and how uncertainty enters into various steps. Provides a systematic, worksheet-based process to determine error limits on measured quantities, and all likely sources of uncertainty are explored, measured or estimated. Features instructions on how to carry out error analysis using Excel and MATLAB®, making previously tedious calculations easy. Whether you are new to the sciences or an experienced engineer, this useful resource provides a practical approach to performing error analysis. Suitable as a text for a junior or senior level laboratory course in aerospace, chemical and mechanical engineering, and for professionals.


Book Synopsis Uncertainty Analysis for Engineers and Scientists by : Faith A. Morrison

Download or read book Uncertainty Analysis for Engineers and Scientists written by Faith A. Morrison and published by Cambridge University Press. This book was released on 2021-01-07 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build the skills for determining appropriate error limits for quantities that matter with this essential toolkit. Understand how to handle a complete project and how uncertainty enters into various steps. Provides a systematic, worksheet-based process to determine error limits on measured quantities, and all likely sources of uncertainty are explored, measured or estimated. Features instructions on how to carry out error analysis using Excel and MATLAB®, making previously tedious calculations easy. Whether you are new to the sciences or an experienced engineer, this useful resource provides a practical approach to performing error analysis. Suitable as a text for a junior or senior level laboratory course in aerospace, chemical and mechanical engineering, and for professionals.


Probability Methods for Cost Uncertainty Analysis

Probability Methods for Cost Uncertainty Analysis

Author: Paul R. Garvey

Publisher: CRC Press

Published: 2016-01-06

Total Pages: 526

ISBN-13: 148221976X

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Probability Methods for Cost Uncertainty Analysis: A Systems Engineering Perspective, Second Edition gives you a thorough grounding in the analytical methods needed for modeling and measuring uncertainty in the cost of engineering systems. This includes the treatment of correlation between the cost of system elements, how to present the analysis to


Book Synopsis Probability Methods for Cost Uncertainty Analysis by : Paul R. Garvey

Download or read book Probability Methods for Cost Uncertainty Analysis written by Paul R. Garvey and published by CRC Press. This book was released on 2016-01-06 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability Methods for Cost Uncertainty Analysis: A Systems Engineering Perspective, Second Edition gives you a thorough grounding in the analytical methods needed for modeling and measuring uncertainty in the cost of engineering systems. This includes the treatment of correlation between the cost of system elements, how to present the analysis to


Scaling and Uncertainty Analysis in Ecology

Scaling and Uncertainty Analysis in Ecology

Author: Jianguo Wu

Publisher: Springer Science & Business Media

Published: 2006-07-02

Total Pages: 354

ISBN-13: 1402046634

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This is the first book of its kind – explicitly considering uncertainty and error analysis as an integral part of scaling. The book draws together a series of important case studies to provide a comprehensive review and synthesis of the most recent concepts, theories and methods in scaling and uncertainty analysis. It includes case studies illustrating how scaling and uncertainty analysis are being conducted in ecology and environmental science.


Book Synopsis Scaling and Uncertainty Analysis in Ecology by : Jianguo Wu

Download or read book Scaling and Uncertainty Analysis in Ecology written by Jianguo Wu and published by Springer Science & Business Media. This book was released on 2006-07-02 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book of its kind – explicitly considering uncertainty and error analysis as an integral part of scaling. The book draws together a series of important case studies to provide a comprehensive review and synthesis of the most recent concepts, theories and methods in scaling and uncertainty analysis. It includes case studies illustrating how scaling and uncertainty analysis are being conducted in ecology and environmental science.


Experimentation, Validation, and Uncertainty Analysis for Engineers

Experimentation, Validation, and Uncertainty Analysis for Engineers

Author: Hugh W. Coleman

Publisher: John Wiley & Sons

Published: 2018-04-09

Total Pages: 420

ISBN-13: 1119417708

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Helps engineers and scientists assess and manage uncertainty at all stages of experimentation and validation of simulations Fully updated from its previous edition, Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition includes expanded coverage and new examples of applying the Monte Carlo Method (MCM) in performing uncertainty analyses. Presenting the current, internationally accepted methodology from ISO, ANSI, and ASME standards for propagating uncertainties using both the MCM and the Taylor Series Method (TSM), it provides a logical approach to experimentation and validation through the application of uncertainty analysis in the planning, design, construction, debugging, execution, data analysis, and reporting phases of experimental and validation programs. It also illustrates how to use a spreadsheet approach to apply the MCM and the TSM, based on the authors’ experience in applying uncertainty analysis in complex, large-scale testing of real engineering systems. Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition includes examples throughout, contains end of chapter problems, and is accompanied by the authors’ website www.uncertainty-analysis.com. Guides readers through all aspects of experimentation, validation, and uncertainty analysis Emphasizes the use of the Monte Carlo Method in performing uncertainty analysis Includes complete new examples throughout Features workable problems at the end of chapters Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition is an ideal text and guide for researchers, engineers, and graduate and senior undergraduate students in engineering and science disciplines. Knowledge of the material in this Fourth Edition is a must for those involved in executing or managing experimental programs or validating models and simulations.


Book Synopsis Experimentation, Validation, and Uncertainty Analysis for Engineers by : Hugh W. Coleman

Download or read book Experimentation, Validation, and Uncertainty Analysis for Engineers written by Hugh W. Coleman and published by John Wiley & Sons. This book was released on 2018-04-09 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Helps engineers and scientists assess and manage uncertainty at all stages of experimentation and validation of simulations Fully updated from its previous edition, Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition includes expanded coverage and new examples of applying the Monte Carlo Method (MCM) in performing uncertainty analyses. Presenting the current, internationally accepted methodology from ISO, ANSI, and ASME standards for propagating uncertainties using both the MCM and the Taylor Series Method (TSM), it provides a logical approach to experimentation and validation through the application of uncertainty analysis in the planning, design, construction, debugging, execution, data analysis, and reporting phases of experimental and validation programs. It also illustrates how to use a spreadsheet approach to apply the MCM and the TSM, based on the authors’ experience in applying uncertainty analysis in complex, large-scale testing of real engineering systems. Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition includes examples throughout, contains end of chapter problems, and is accompanied by the authors’ website www.uncertainty-analysis.com. Guides readers through all aspects of experimentation, validation, and uncertainty analysis Emphasizes the use of the Monte Carlo Method in performing uncertainty analysis Includes complete new examples throughout Features workable problems at the end of chapters Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition is an ideal text and guide for researchers, engineers, and graduate and senior undergraduate students in engineering and science disciplines. Knowledge of the material in this Fourth Edition is a must for those involved in executing or managing experimental programs or validating models and simulations.


The Uncertainty Analysis of Model Results

The Uncertainty Analysis of Model Results

Author: Eduard Hofer

Publisher: Springer

Published: 2018-07-01

Total Pages: 346

ISBN-13: 9783319762968

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This book is a practical guide to the uncertainty analysis of computer model applications. Used in many areas, such as engineering, ecology and economics, computer models are subject to various uncertainties at the level of model formulations, parameter values and input data. Naturally, it would be advantageous to know the combined effect of these uncertainties on the model results as well as whether the state of knowledge should be improved in order to reduce the uncertainty of the results most effectively. The book supports decision-makers, model developers and users in their argumentation for an uncertainty analysis and assists them in the interpretation of the analysis results.


Book Synopsis The Uncertainty Analysis of Model Results by : Eduard Hofer

Download or read book The Uncertainty Analysis of Model Results written by Eduard Hofer and published by Springer. This book was released on 2018-07-01 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a practical guide to the uncertainty analysis of computer model applications. Used in many areas, such as engineering, ecology and economics, computer models are subject to various uncertainties at the level of model formulations, parameter values and input data. Naturally, it would be advantageous to know the combined effect of these uncertainties on the model results as well as whether the state of knowledge should be improved in order to reduce the uncertainty of the results most effectively. The book supports decision-makers, model developers and users in their argumentation for an uncertainty analysis and assists them in the interpretation of the analysis results.


Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach

Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach

Author: Bilal Ayyub

Publisher: Springer Science & Business Media

Published: 1997-10-31

Total Pages: 414

ISBN-13: 9780792380306

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Uncertainty has been of concern to engineers, managers and . scientists for many centuries. In management sciences there have existed definitions of uncertainty in a rather narrow sense since the beginning of this century. In engineering and uncertainty has for a long time been considered as in sciences, however, synonymous with random, stochastic, statistic, or probabilistic. Only since the early sixties views on uncertainty have ~ecome more heterogeneous and more tools to model uncertainty than statistics have been proposed by several scientists. The problem of modeling uncertainty adequately has become more important the more complex systems have become, the faster the scientific and engineering world develops, and the more important, but also more difficult, forecasting of future states of systems have become. The first question one should probably ask is whether uncertainty is a phenomenon, a feature of real world systems, a state of mind or a label for a situation in which a human being wants to make statements about phenomena, i. e. , reality, models, and theories, respectively. One cart also ask whether uncertainty is an objective fact or just a subjective impression which is closely related to individual persons. Whether uncertainty is an objective feature of physical real systems seems to be a philosophical question. This shall not be answered in this volume.


Book Synopsis Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach by : Bilal Ayyub

Download or read book Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach written by Bilal Ayyub and published by Springer Science & Business Media. This book was released on 1997-10-31 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertainty has been of concern to engineers, managers and . scientists for many centuries. In management sciences there have existed definitions of uncertainty in a rather narrow sense since the beginning of this century. In engineering and uncertainty has for a long time been considered as in sciences, however, synonymous with random, stochastic, statistic, or probabilistic. Only since the early sixties views on uncertainty have ~ecome more heterogeneous and more tools to model uncertainty than statistics have been proposed by several scientists. The problem of modeling uncertainty adequately has become more important the more complex systems have become, the faster the scientific and engineering world develops, and the more important, but also more difficult, forecasting of future states of systems have become. The first question one should probably ask is whether uncertainty is a phenomenon, a feature of real world systems, a state of mind or a label for a situation in which a human being wants to make statements about phenomena, i. e. , reality, models, and theories, respectively. One cart also ask whether uncertainty is an objective fact or just a subjective impression which is closely related to individual persons. Whether uncertainty is an objective feature of physical real systems seems to be a philosophical question. This shall not be answered in this volume.