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The recent financial crisis, the growth of the impact and frequency of extreme risk events (natural hazards, terrorism, technological accidents), but also the interest to optimize the interventions in critical situations are motivations for a new framework for analysis of all the events that implies extreme risk patterns. In a highly uncertain and highly dynamic environment this types of applications assist strategic decision makers in a flexible, adaptive and robust manner. Modern technologies permits new concepts, better adapted to support critical decisions, not only in economy and finance but also in military and law enforcement applications, in turbulent periods, or in extreme risk events. The interest is to develop an integrated framework capable to support emergency decisions via a better understanding of the dynamics of extreme events and a better detection and management of emerging and critical situations that imply risk and uncertainty. In this case, the focus is on the characteristics of genericity and adaptability of the framework in order to build a modular, flexible, adaptive, robust and efficient system that does not depend on a particular case and it is equipped with the capability to be easy extended in a creative manner.