Risk: A Multidisciplinary Introduction

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