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.