In every decision problem there are things we know and things we do not know. Risk analysis science uses the best available evidence to assess what we know while it is carefully intentional in the way it addresses the importance of the things we do not know in the evaluation of decision choices and decision outcomes. The field of risk analysis science continues to expand and grow and the second edition of Principles of Risk Analysis: Decision Making Under Uncertainty responds to this evolution with several significant changes. The language has been updated and expanded throughout the text and the book features several new areas of expansion including five new chapters. The book’s simple and straightforward style—based on the author’s decades of experience as a risk analyst, trainer, and educator—strips away the mysterious aura that often accompanies risk analysis.

Features:

• Details the tasks of risk management, risk assessment, and risk communication in a straightforward, conceptual manner
• Provides sufficient detail to empower professionals in any discipline to become risk practitioners
• Expands the risk management emphasis with a new chapter to serve private industry and a growing public sector interest in the growing practice of enterprise risk management
• Describes dozens of quantitative and qualitative risk assessment tools in a new chapter
• Practical guidance and ideas for using risk science to improve decisions and their outcomes is found in a new chapter on decision making under uncertainty
• Practical methods for helping risk professionals to tell their risk story are the focus of a new chapter
• Features an expanded set of examples of the risk process that demonstrate the growing applications of risk analysis

As before, this book continues to appeal to professionals who want to learn and apply risk science in their own professions as well as students preparing for professional careers. This book remains a discipline free guide to the principles of risk analysis that is accessible to all interested practitioners.

Files used in the creation of this book and additional exercises as well as a free student version of Palisade Corporation’s Decision Tools Suite software are available with the purchase of this book.

A less detailed introduction to the risk analysis science tasks of risk management, risk assessment, and risk communication is found in Primer of Risk Analysis: Decision Making Under Uncertainty, Second Edition, ISBN: 978-1-138-31228-9.

Caroline Bowsher is the Programme Director of the plant science and biology courses at the University of Manchester, UK.

Martin Steer is Professor of Botany and Director of the Electron Microscopy Laboratory at University College Dublin, Eire.

Alyson Tobin is Dean of Science at the Centre for Evolution, Genes & Genomics at the University of St. Andrews, Scotland.