Risk - A Multidisciplinary Introduction

Introduction.- Part I.Risk in History and Science: 1.Zachmann, K.: Risk in historical perspective: concepts, contexts, and conjunctions.- 2.Lutge, C., Schnebel, E., Westphal, N.: Risk management and business ethics: integrating the human factor.- 3.Straub, D., Welpe, I.: Decision-making under risk: a normative and behavioral perspective.- 4.Mainzer, K.: The new role of mathematical modelling and its importance for society.- Part II.Quantitative Risk Methodology: 5.Biagini, F. , Meyer-Brandis, T. and Svindland, G.:The mathematical concept of risk.- 6.Fasen, V., Kluppelberg, C., Menzel, A.: Quantifying extreme event risk.- 7.Schon, C.-C. and Wimmer, V.: Statistical models for the prediction of genetic values.- 8.Brechmann, E. and Czado, C.: Bayesian risk analysis.- 9.Kluppelberg, C., Stelzer, R.: Dealing with dependent risks.- 10.Bannor, K. and Scherer, M.: Model risk and uncertainty; illustrated with examples from Mathematical finance.- Part III.Risk Treatment in Various Applications: 11.Roosen, J.: Cost-benefit analysis.- 12.Straub, D.: Engineering risk assessment.- 13.Vogel-Heuser, B.: Integrated modeling of complex production automation systems to increase dependability.- 14.Wiesche, M., Hormann, S., Schermann, M., Krcmar. H.: Information technology risks: an interdisciplinary challenge.- 15.Klinker, G.: Risks in developing novel user interfaces for Human-Computer interaction.- 16.Ankerst, D., Seifert-Klauss, V., Kiechle, M.: Translational risk models.- 17.Seifert-Klauss, V., Thumer, L., Protzer, U.: Risk reduction of cervical cancer through HPV screening and vaccination - assumptions and reality.