Framing Uncertainty

Framing Uncertainty
Author: Markus Rautzenberg
Publisher: Springer Nature
Total Pages: 178
Release: 2020-02-08
Genre: Performing Arts
ISBN: 1137595213

This book presents a compilation of articles on the subject of game studies written over the last ten years. These texts reflect a decade of research in European computer game studies from a theoretical perspective that combines philosophy, cultural studies, visual studies, and media studies in a way that is unique to a specific type of media theory developed in Germany over the last thirty years. This theory differs quite significantly from media studies as usually conceived in Anglo-American academia, providing new perspectives that are rooted in continental philosophical traditions ranging from phenomenology to post-structuralism and newer forms of “presence studies” in aesthetic theory. The book provides (1) an introduction to a continental approach to game philosophy; (2) an aesthetic theory of computer games rooted in concepts of performativity and epistemology; and (3) an introduction to an interdisciplinary approach to game studies that is based on philosophical perspectives on the subject matter.

Managing Project Uncertainty

Managing Project Uncertainty
Author: David Cleden
Publisher: Routledge
Total Pages: 131
Release: 2017-03-02
Genre: Business & Economics
ISBN: 1351920413

Dealing effectively with uncertainty requires today's project manager to be familiar with a broad spectrum of strategies, encompassing both 'hard' and 'soft' methods. This theme of unified thinking (i.e. the need to selectively draw upon a wide range of strategies in any given situation) will differentiate the book from its contemporaries. By picking up where traditional risk management techniques begin to fail, it brings together leading-edge thinking from a variety of disciplines and shows how these techniques can be used to conquer uncertainty in projects. The ability to make good decisions when faced with uncertainty is the real challenge. It is a universal truth that a decision is only as good as the information it is based on. But good information is often hard to come by, and all projects are vulnerable to the unknown and the unknowable. Thus, uncertainty becomes the sworn enemy of the project manager. Wherever we try to analyse, quantify, plan and act, uncertainty lies in wait to surprise us with its ambiguity and unpredictability. It lurks in every stage of the project lifecycle: in the planning (how long will this really take?), the initiation (this isn't the situation I expected!), the execution (who could have foreseen that happening?), and even the completion of a project (where are the expected benefits?). But managing uncertainty is a lot more than just applying risk management techniques. It requires a deep appreciation of how uncertainty arises and, by recognising its different guises, the appropriate strategies can be formulated. If we can learn how to reduce uncertainty, we can make better management decisions and increase the chances of the project succeeding. This book addresses five key questions: ¢ Why is there uncertainty in projects? ¢ How do you spot the symptoms of uncertainty, preferably at an early stage? ¢ What can be done to avoid uncertainty? ¢ What strategies can be used to deal with project uncertainty? ¢ How can both the individual and the organisation learn to cope more effectively in the future? The reader is assumed to be a either a project management professional, or a senior manager looking for ways to improve project management strategy within their organisation. As such, a foundation in project management basics is assumed, although not essential. The book then builds on this by exposing new ideas and concepts, and shows how these can be harnessed to tackle uncertainty in its many guises.

Three Domain Modelling and Uncertainty Analysis

Three Domain Modelling and Uncertainty Analysis
Author: Atom Mirakyan
Publisher: Springer
Total Pages: 222
Release: 2015-05-28
Genre: Business & Economics
ISBN: 3319195727

This book examines in detail the planning and modelling of local infrastructure like energy systems, including the complexities resulting from various uncertainties. Readers will discover the individual steps involved in infrastructure planning in cities and territories, as well as the primary requirements and supporting quality factors. Further topics covered concern the field of uncertainty and its synergies with infrastructure planning. Theories, methodological backgrounds and concrete case studies will not only help readers to understand the proposed methodologies for modelling and uncertainty analysis, but will also show them how these approaches are implemented in practice.

The Management of Uncertainty

The Management of Uncertainty
Author: Angela Liberatore
Publisher: Routledge
Total Pages: 328
Release: 2013-10-18
Genre: Business & Economics
ISBN: 1134391536

This investigative analysis studies why key European countries responded differently to the Chernobyl nuclear disaster, and what can be learned from it. The author details why the accident was defined differently in various countries, why actions were or were not taken, and what was learned about the management of nuclear risk. Furthermore, Liberatore studies the short-term and long-term responses and consequences of Chernobyl not only in specific countries, but within the European Union as a whole. Liberatore also provides a policy communication model to illustrate the interaction among the key personnel in such incidents: the scientists, the politicians, the interest groups, and the mass media. The author's focus upon uncertainty managementis a compelling account for all who seek to understand and improve the practical management of transboundary risks.

Building Resilience for Uncertain Water Futures

Building Resilience for Uncertain Water Futures
Author: Patricia Gober
Publisher: Springer
Total Pages: 230
Release: 2018-03-29
Genre: Social Science
ISBN: 3319712349

This book describes the existential threats facing the global water systems from population growth and economic development, unsustainable use, environmental change, and weak and fragmented governance. It argues that ‘business-as-usual’ water science and management cannot solve global water problems because today’s water systems are increasingly complex and face uncertain future conditions. Instead, a more holistic, strategic, agile and publically engaged process of water decision making is needed. Building Resilience for Uncertain Water Futures emphasises the importance of adaptation through a series of case studies of cities, regions, and communities that have experimented with anticipatory policy-making, scenario development, and public engagement. By shifting perspective from an emphasis on management to one of adaptation, the book emphasizes the capacity to manage uncertainties, the need for cross-sector coordination, and mechanisms for engaging stakeholder with differing goals and conflict resolution. This book will be a useful resource for students and academics seeking a better understanding of sustainable water use, water policy and water resources management.

Environmental Decisions in the Face of Uncertainty

Environmental Decisions in the Face of Uncertainty
Author: Institute of Medicine
Publisher: National Academies Press
Total Pages: 280
Release: 2013-05-20
Genre: Political Science
ISBN: 0309290236

The U.S. Environmental Protection Agency (EPA) is one of several federal agencies responsible for protecting Americans against significant risks to human health and the environment. As part of that mission, EPA estimates the nature, magnitude, and likelihood of risks to human health and the environment; identifies the potential regulatory actions that will mitigate those risks and protect public health1 and the environment; and uses that information to decide on appropriate regulatory action. Uncertainties, both qualitative and quantitative, in the data and analyses on which these decisions are based enter into the process at each step. As a result, the informed identification and use of the uncertainties inherent in the process is an essential feature of environmental decision making. EPA requested that the Institute of Medicine (IOM) convene a committee to provide guidance to its decision makers and their partners in states and localities on approaches to managing risk in different contexts when uncertainty is present. It also sought guidance on how information on uncertainty should be presented to help risk managers make sound decisions and to increase transparency in its communications with the public about those decisions. Given that its charge is not limited to human health risk assessment and includes broad questions about managing risks and decision making, in this report the committee examines the analysis of uncertainty in those other areas in addition to human health risks. Environmental Decisions in the Face of Uncertainty explains the statement of task and summarizes the findings of the committee.

Maintaining Financial Stability in Times of Risk and Uncertainty

Maintaining Financial Stability in Times of Risk and Uncertainty
Author: Behl, Abhishek
Publisher: IGI Global
Total Pages: 377
Release: 2018-12-04
Genre: Business & Economics
ISBN: 1522572090

Risks and uncertainties?market, financial, operational, social, humanitarian, environmental, and institutional?are the inherent realities of the modern world. Stock market crashes, demonetization of currency, and climate change constitute just a few examples that can adversely impact financial institutions across the globe. To mitigate these risks and avoid a financial crisis, a better understanding of how the economy responds to uncertainties is needed. Maintaining Financial Stability in Times of Risk and Uncertainty is an essential reference source that discusses how risks and uncertainties affect the financial stability and security of individuals and institutions, as well as probable solutions to mitigate risk and achieve financial resilience under uncertainty. Featuring research on topics such as financial fraud, insurance ombudsman, and Knightian uncertainty, this book is developed for researchers, academicians, policymakers, students, and scholars.

Demystifying Climate Models

Demystifying Climate Models
Author: Andrew Gettelman
Publisher: Springer
Total Pages: 282
Release: 2016-04-09
Genre: Technology & Engineering
ISBN: 3662489597

This book demystifies the models we use to simulate present and future climates, allowing readers to better understand how to use climate model results. In order to predict the future trajectory of the Earth’s climate, climate-system simulation models are necessary. When and how do we trust climate model predictions? The book offers a framework for answering this question. It provides readers with a basic primer on climate and climate change, and offers non-technical explanations for how climate models are constructed, why they are uncertain, and what level of confidence we should place in them. It presents current results and the key uncertainties concerning them. Uncertainty is not a weakness but understanding uncertainty is a strength and a key part of using any model, including climate models. Case studies of how climate model output has been used and how it might be used in the future are provided. The ultimate goal of this book is to promote a better understanding of the structure and uncertainties of climate models among users, including scientists, engineers and policymakers.

The Science and Management of Uncertainty

The Science and Management of Uncertainty
Author: Bruce G. Marcot
Publisher: CRC Press
Total Pages: 360
Release: 2020-11-26
Genre: Business & Economics
ISBN: 1000244571

Uncertainty can take many forms, can be represented in many ways, and can have important implications in decision-making and policy development. This book provides a rigorous scientific framework for dealing with uncertainty in real-world situations, and provides a comprehensive study of concepts, measurements, and applications of uncertainty in ecological modeling and natural resource management. The focus of this book is on the kinds and implications of uncertainty in environmental modeling and management, with practical guidelines and examples for successful modeling and risk analysis in the face of uncertain conditions and incomplete information. Provided is a clear classification of uncertainty; methods for measuring, modeling, and communicating uncertainty; practical guidelines for capturing and representing expert knowledge and judgment; explanations of the role of uncertainty in decision-making; a guideline to avoiding logical fallacies when dealing with uncertainty; and several example cases of real-world ecological modeling and risk analysis to illustrate the concepts and approaches. Case topics provide examples of structured decision-making, statistical modeling, and related topics. A summary provides practical next steps that the reader can take in analyzing and interpreting uncertainty in real-world situations. Also provided is a glossary and a suite of references.