Despite sophisticated technology and knowledge, the strategic networks and games required to solve uncertainties becomes more complex and more important than ever before.

Managing uncertainties in industrial systems is a daily challenge to ensure improved design, robust operation, accountable performance and responsive risk control. Authored by a leading European network of experts representing a cross section of industries, Uncertainty in Industrial Practice aims to provide a reference for the dissemination of uncertainty treatment in any type of industry. It is concerned with the quantification of uncertainties in the presence of data, model(s) and knowledge about the system, and offers a technical contribution to decision-making processes whilst acknowledging industrial constraints. The approach presented can be applied to a range of different business contexts, from research or early design through to certification or in-service processes. The authors aim to foster optimal trade-offs between literature-referenced methodologies and the simplified approaches often inevitable in practice, owing to data, time or budget limitations of technical decision-makers. Uncertainty in Industrial Practice: Features recent uncertainty case studies carried out in the nuclear, air & space, oil, mechanical and civil engineering industries set in a common methodological framework. Presents methods for organizing and treating uncertainties in a generic and prioritized perspective. Illustrates practical difficulties and solutions encountered according to the level of complexity, information available and regulatory and financial constraints. Discusses best practice in uncertainty modeling, propagation and sensitivity analysis through a variety of statistical and numerical methods. Reviews recent standards, references and available software, providing an essential resource for engineers and risk analysts in a wide variety of industries. This book provides a guide to dealing with quantitative uncertainty in engineering and modelling and is aimed at practitioners, including risk-industry regulators and academics wishing to develop industry-realistic methodologies.

A Modern Guide to Networks highlights the key dimensions of today’s networks, advancing knowledge of how networks operate and how they will likely function in the future. Combining academic perspectives with practice-based insights, it pushes disciplinary boundaries and provides unique insight into researching and participating in social networks.

Getting what you want – even if you are the boss – isn’t always easy. Almost every organization, big or small, works among a network of competing interests. Whether it's governments pushing through policies, companies trying to increase profits, or even families deciding where to move house, rarely can decisions be made in isolation from competing interests both within the organization and outside it. In this accessible and straightforward account, Hans de Bruijn and Ernst ten Heuvelhof cast light on multi-stakeholder decision-making. Shunning simplistic model talk, they reveal the nuts and bolts of decision-making within the numerous dilemmas and tensions at work. Using a diverse range of illustrative examples throughout, their perceptive analysis examines how different interests can either support or block change, and the strategies available in managing a variety of stakeholders This insightful text provides both depth of understanding and a wealth of advice. It is invaluable reading to students working in business and management, public administration and organizational studies, plus practitioners – or actors – operating in a range of contexts.

Uncertainties in Modern Power Systems combines several aspects of uncertainty management in power systems at the planning and operation stages within an integrated framework. This book provides the state-of-the-art in electric network planning, including time-scales, reliability, quality, optimal allocation of compensators and distributed generators, mathematical formulation, and search algorithms. The book introduces innovative research outcomes, programs, algorithms, and approaches that consolidate the present status and future opportunities and challenges of power systems. The book also offers a comprehensive description of the overall process in terms of understanding, creating, data gathering, and managing complex electrical engineering applications with uncertainties. This reference is useful for researchers, engineers, and operators in power distribution systems. - Includes innovative research outcomes, programs, algorithms, and approaches that consolidate current status and future of modern power systems - Discusses how uncertainties will impact on the performance of power systems - Offers solutions to significant challenges in power systems planning to achieve the best operational performance of the different electric power sectors

The study of governance has risen to prominence as a way of describing and explaining changes in our world. The SAGE Handbook of Governance presents an authoritative and innovative overview of this fascinating field, with particular emphasis on the significant new and emerging theoretical issues and policy innovations. The Handbook is divided into three parts. Part one explores the major theories influencing current thinking and shaping future research in the field of governance. Part two deals specifically with changing practices and policy innovations, including the changing role of the state, transnational and global governance, markets and networks, public management, and budgeting and finance. Part three explores the dilemmas of managing governance, including attempts to rethink democracy and citizenship as well as specific policy issues such as capacity building, regulation, and sustainable development. This volume is an excellent resource for advanced students and researchers in political science, economics, geography, sociology, and public administration. Mark Bevir is a Professor of Political Science at the University of California, Berkeley.

Networks are omnipresent in our natural and social world, and they are at the heart of politics. Relationships of many types drive political institutions, processes, and decision-making. Therefore, it is imperative for the study of politics to include network approaches. Already, these approaches have advanced our understanding of critical questions, such as: Why do people vote? How can people build problem-solving coalitions? How can governments and organizations foster innovations? How can countries build ties that promote peace? What are the most fruitful strategies for disrupting arms or terrorist networks? This volume is designed as a foundational statement and resource. The contributions offer instruction on network theory and methods at both beginner and advanced levels, as well as an assessment of the state-of-the-discipline on a variety of applied network topics in politics. Through this dynamic collection of essays, The Oxford Handbook of Political Networks elucidates how the field is transforming and what that means for the future of political science.

This book assesses the management and performance of networks in light of the rising popularity of collaborative approaches in public service delivery. It does so by examining the case of smoking-prevention networks in Switzerland. The book considers how network managers can be distinguished based on work-context related factors, and analyses how the interaction of these factors leads to either active or non-active network management within collaborative policy delivery arrangements. It also empirically investigates the effects that network management and other network-level and project-level factors have on the policy output performance of these networks. Adopting a multi-method approach combining a qualitative comparative analysis, case studies as well as Bayesian regressions, the book will appeal to academics and students of public policy, public administration, and public management. It will also be of use to practitioners responsible for the design and the management of policy delivery networks.

"Wicked" problems are large-scale, long-term policy dilemmas in which multiple and compounding risks and uncertainties combine with sharply divergent public values to generate contentious political stalemates; wicked problems in the environmental arena typically emerge from entrenched conflicts over natural resource management and over the prioritization of economic and conservation goals more generally. This new book examines past experience and future directions in the management of wicked environmental problems and describes new strategies for mitigating the conflicts inherent in these seemingly intractable situations. The book: reviews the history of the concept of wicked problems examines the principles and processes that managers have applied explores the practical limitations of various approaches Most important, the book reviews current thinking on the way forward, focusing on the implementation of "learning networks," in which public managers, technical experts, and public stakeholders collaborate in decision-making processes that are analytic, iterative, and deliberative. Case studies of forest management in the Sierra Nevada, restoration of the Florida Everglades, carbon trading in the European Union, and management of the Ngorongoro Conservation Area in Tanzania are used to explain concepts and demonstrate practical applications. Wicked Environmental Problems offers new approaches for managing environmental conflicts and shows how managers could apply these approaches within common, real-world statutory decision-making frameworks. It is essential reading for anyone concerned with managing environmental problems.