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Editors: Claudia Klüppelberg, Daniel Straub, Isabell M. Welpe
A truly interdisciplinary introductory book, covering risk topics across all involved disciplines
A unique book addressing the integration of risk methodology from various fields, pursuing an integrative approach
Provides simple case studies and examples and can be used for graduate seminars and offers a broad range of applications
This is a unique book addressing the integration of risk methodology from various fields. It will stimulate intellectual debate and communication across disciplines, promote better risk management practices and contribute to the development of risk management methodologies. Individual chapters explain fundamental risk models and measurement, and address risk and security issues from diverse areas such as finance and insurance, the health sciences, life sciences, engineering and information science. Integrated Risk Sciences is an emerging discipline that considers risks in different fields, aiming at a common language, and at sharing and improving methods developed in different fields. Readers should have a Bachelor degree and have taken at least one basic university course in statistics and probability. The main goal of the book is to provide basic knowledge on risk and security in a common language; the authors have taken particular care to ensure that all content can readily be understood by doctoral students and researchers across disciplines. Each chapter provides simple case studies and examples, open research questions and discussion points, and a selected bibliography inviting readers to further study.
Table of contents (17 chapters)
Risk in Historical Perspective: Concepts, Contexts, and Conjunctions
Risk Management and Business Ethics: Integrating the Human Factor
Decision-Making Under Risk: A Normative and Behavioral Perspective
The New Role of Mathematical Risk Modeling and Its Importance for Society
The Mathematical Concept of Measuring Risk
Quantifying Extreme Risks
Statistical Models for the Prediction of Genetic Values
Bayesian Risk Analysis
Dealing with Dependent Risks
Model Risk and Uncertainty—Illustrated with Examples from Mathematical Finance
Cost-Benefit Analysis
Engineering Risk Assessment
Integrated Modeling of Complex Production Automation Systems to Increase Dependability
Information Technology Risks: An Interdisciplinary Challenge
Risk Issues in Developing Novel User Interfaces for Human-Computer Interaction
Translational Risk Models
Risk Reduction of Cervical Cancer Through HPV Screening and Vaccination—Assumptions and Reality
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