Risk - A Multidisciplinary Introduction

Introduction.- Part One. Risk in History and Science: Zachmann, K. : Risk in historical perspective: concepts, contexts, and conjunctions.- Lütge, C., Schnebel, E., Westphal, N. : Risk management and business ethics: integrating the human factor.- Straub, D., Welpe, I. : Decision-making under risk: a normative and behavioral perspective.- Mainzer, K. : The new role of mathematical modelling and its importance for society.- Part Two. Quantitative Risk Methodology : Biagini, F. , Meyer-Brandis, T. and Svindland, G. :The mathematical concept of risk.- Fasen, V., Klüppelberg, C., Menzel, A. : Quantifying extreme event risk. Schön, C.-C. and Wimmer, V. : Statistical models for the prediction of genetic values.- Brechmann, E. and Czado, C. : Bayesian risk analysis.- Klüppelberg, C., Stelzer, R. : Dealing with dependent risks.- Bannör, K. and Scherer, M. : Model risk and uncertainty; illustrated with examples from Mathematical finance.- Part Three. Risk Treatment in Various Applications : Roosen, J. : Cost-benefit analysis.- Straub, D. : Engineering risk assessment.- Vogel-Heuser, B. : Integrated modeling of complex production automation systems to increase dependability.- Wiesche, M., Hörmann, S., Schermann, M., Krcmar. H. : Information technology risks: an interdisciplinary challenge.- Klinker, G. : Risks in developing novel user interfaces for Human-Computer interaction.- Ankerst, D., Seifert-Klauss, V., Kiechle, M. : Translational risk models.- Seifert-Klauss, V., Thümer, L., Protzer, U. : Risk reduction of cervical cancer through HPV screening and vaccination - assumptions and reality.