Scientific Models and Decision Making
Scientific Models and Decision Making

Author: Eric Winsberg

Publisher: Cambridge University Press

Published: 2024-01-31

Total Pages: 82

ISBN-13: 1009033972

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This Element introduces the philosophical literature on models, with an emphasis on normative considerations relevant to models for decision-making. Chapter 1 gives an overview of core questions in the philosophy of modeling. Chapter 2 examines the concept of model adequacy for purpose, using three examples of models from the atmospheric sciences to describe how this sort of adequacy is determined in practice. Chapter 3 explores the significance of using models that are not adequate for purpose, including the purpose of informing public decisions. Chapter 4 provides a basic framework for values in modelling, using a case study to highlight the ethical challenges in building models for decision making. It concludes by establishing the need for strategies to manage value judgments in modelling, including the potential for public participation in the process.

Body Physics
Body Physics

Author: Lawrence Davis

Publisher:

Published: 201?

Total Pages: 590

ISBN-13:

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"Body Physics was designed to meet the objectives of a one-term high school or freshman level course in physical science, typically designed to provide non-science majors and undeclared students with exposure to the most basic principles in physics while fulfilling a science-with-lab core requirement. The content level is aimed at students taking their first college science course, whether or not they are planning to major in science. However, with minor supplementation by other resources, such as OpenStax College Physics, this textbook could easily be used as the primary resource in 200-level introductory courses. Chapters that may be more appropriate for physics courses than for general science courses are noted with an asterisk symbol (*). Of course this textbook could be used to supplement other primary resources in any physics course covering mechanics and thermodynamics"--Textbook Web page.

The Science of Decision Making
The Science of Decision Making

Author: Eric V. Denardo

Publisher: John Wiley & Sons

Published: 2002

Total Pages: 684

ISBN-13:

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Provides the reader with a perspective on the efficient operation of complicated systems. * Spreadsheets are used to employ and teach techniques. * Includes the facets of probability that relate to decision making.

Collaborative Modeling And Decision-making For Complex Energy Systems
Collaborative Modeling And Decision-making For Complex Energy Systems

Author: Ali Mostashari

Publisher: World Scientific

Published: 2011-01-27

Total Pages: 313

ISBN-13: 9814462330

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This volume provides the fundamentals of involving stakeholders in collaborative modeling of energy systems, including the technical subsystem as well as its economic, social, environmental and political subsystems. It presents a Stakeholder-Assisted Modeling and Policy Design (SAM-PD) framework that can be applied by energy system developers, managers and decision makers to involve a wide range of stakeholders in group model-building on a larger scale.By illustrating the capabilities of the SAM-PD framework, the book introduces an actual case study of the Cape Wind Offshore Wind Energy project. This case study details the process by which the author brought together a large number of stakeholders to jointly model the Cape Wind energy system and its broader implications for the regional energy picture and the regional economy and environment. It also offers the most recent in-depth analysis of the Cape Wind project.

Decision Science for Future Earth
Decision Science for Future Earth

Author: Tetsukazu Yahara

Publisher: Springer Nature

Published: 2021-01-29

Total Pages: 251

ISBN-13: 9811586322

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This open access book provides a theoretical framework and case studies on decision science for regional sustainability by integrating the natural and social sciences. The cases discussed include solution-oriented transdisciplinary studies on the environment, disasters, health, governance and human cooperation. Based on these case studies and comprehensive reviews of relevant works, including lessons learned from past failures for predictable surprises and successes in adaptive co-management, the book provides the reader with new perspectives on how we can co-design collaborative projects with various conflicts of interest and how we can transform our society for a sustainable future. The book makes a valuable contribution to the global research initiative Future Earth, promoting transdisciplinary studies to bridge the gap between science and society in knowledge generation processes and supporting efforts to achieve the UN’s Sustainable Development Goals (SDGs). Compared to other publications on transdisciplinary studies, this book is unique in that evolutionary biology is used as an integrator for various areas related to human decision-making, and approaches social changes as processes of adaptive learning and evolution. Given its scope, the book is highly recommended to all readers seeking an integrated overview of human decision-making in the context of social transformation.

Modelling Nature: An Opinionated Introduction to Scientific Representation
Modelling Nature: An Opinionated Introduction to Scientific Representation

Author: Roman Frigg

Publisher: Springer

Published: 2021-09-03

Total Pages: 241

ISBN-13: 9783030451554

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This monograph offers a critical introduction to current theories of how scientific models represent their target systems. Representation is important because it allows scientists to study a model to discover features of reality. The authors provide a map of the conceptual landscape surrounding the issue of scientific representation, arguing that it consists of multiple intertwined problems. They provide an encyclopaedic overview of existing attempts to answer these questions, and they assess their strengths and weaknesses. The book also presents a comprehensive statement of their alternative proposal, the DEKI account of representation, which they have developed over the last few years. They show how the account works in the case of material as well as non-material models; how it accommodates the use of mathematics in scientific modelling; and how it sheds light on the relation between representation in science and art. The issue of representation has generated a sizeable literature, which has been growing fast in particular over the last decade. This makes it hard for novices to get a handle on the topic because so far there is no book-length introduction that would guide them through the discussion. Likewise, researchers may require a comprehensive review that they can refer to for critical evaluations. This book meets the needs of both groups.

Leadership Roles and Management Functions in Nursing
Leadership Roles and Management Functions in Nursing

Author: Bessie L. Marquis

Publisher: Lippincott Williams & Wilkins

Published: 2009

Total Pages: 676

ISBN-13: 9780781772464

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Now in its Sixth Edition, this foremost leadership and management text incorporates application with theory and emphasizes critical thinking, problem solving, and decision making. More than 225 case studies and learning exercises promote critical thinking and interactive discussion. Case studies cover a variety of settings, including acute care, ambulatory care, long-term care, and community health. The book addresses timely issues such as leadership development, staffing, delegation, ethics and law, organizational, political, and personal power, management and technology, and more. Web links and learning exercises appear in each chapter. An Instructor's CD-ROM includes a testbank and PowerPoint slides.

Classification in the Wild
Classification in the Wild

Author: Konstantinos V. Katsikopoulos

Publisher: MIT Press

Published: 2021-02-02

Total Pages: 208

ISBN-13: 0262361957

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Rules for building formal models that use fast-and-frugal heuristics, extending the psychological study of classification to the real world of uncertainty. This book focuses on classification--allocating objects into categories--"in the wild," in real-world situations and far from the certainty of the lab. In the wild, unlike in typical psychological experiments, the future is not knowable and uncertainty cannot be meaningfully reduced to probability. Connecting the science of heuristics with machine learning, the book shows how to create formal models using classification rules that are simple, fast, and transparent and that can be as accurate as mathematically sophisticated algorithms developed for machine learning.

Strategic Management, Decision Theory, and Decision Science
Strategic Management, Decision Theory, and Decision Science

Author: Bikas Kumar Sinha

Publisher: Springer Nature

Published: 2021-08-31

Total Pages: 280

ISBN-13: 9811613680

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This book contains international perspectives that unifies the themes of strategic management, decision theory, and data science. It contains thought-provoking presentations of case studies backed by adequate analysis adding significance to the discussions. Most of the decision-making models in use do take due advantage of collection and processing of relevant data using appropriate analytics oriented to provide inputs into effective decision-making. The book showcases applications in diverse fields including banking and insurance, portfolio management, inventory analysis, performance assessment of comparable economic agents, managing utilities in a health-care facility, reducing traffic snarls on highways, monitoring achievement of some of the sustainable development goals in a country or state, and similar other areas that showcase policy implications. It holds immense value for researchers as well as professionals responsible for organizational decisions.