Coping with Uncertainty

Ongoing global changes bring fundamentally new scientific problems requiring new concepts and tools. A key issue concerns a vast variety of practically irreducible uncertainties, which challenge our traditional models and require new concepts and analytical tools. The uncertainty critically dominantes, e.g., the climate change debates. In short, the dilemma is concerned with enormous costs vs. massive uncertainties of potential extreme impacts. Traditional scientific approaches usually rely on real observations and experiments. Yet no sufficient observations exist for new problems, and "pure" experiments and learning by doing may be very expensive, dangerous, or simply impossible. In addition, available historical observations are contaminated by actions, policies. The complexity of new problems does not allow to achieve enough certainty by increasing the resolution of models or by bringing in more links. Hence, new tools for modeling and management of uncertainty are needed, as given in this book.

• Analysis
• Monte Carlo Simulation
• Statistical Analysis
• Stochastic Optimization
• Stochastic Programming
• learning
• modeling
• optimization
• programming
• simulation

• Aero Space Engineering and Technology, Federal Armed Forces University Munich, Neubiberg/Munich, Germany

  Kurt Marti

• International Institute for Applied System Analysis, Laxenburg, Austria

  Yuri Ermoliev, Marek Makowski

• Institute for Statistics and Informatics, University of Vienna, Vienna, Austria

  Georg Pflug

Policies and ethics