Observatorio de I+D+i UPM

Memorias de investigación
Proyecto de I+D+i:
Áreas de investigación
  • Matemáticas
Over the past several years, there has been a wealth of scientific progress in risk analysis. As the set of underlying problems has become increasingly diverse, drawing from areas ranging from homeland security to new financial products, fraud detection or critical cyber-infrastructure, much research has become narrowly focused on a single area. It has also become clear that the need is urgent an compelling for research in risk analysis, as, somehow, extreme events (such as major hurricanes and earthquakes, terrorist attacks or financial crises) are happening more frequently and there is a need to inform and support decision making to reduce or/and mitigate those risks as well as create more resilient systems and institutions that help to recover from their occurrence. During the past three decades, the consideration of multiple objectives in modelling and decisonmaking has grown the leaps and bounds. This has led to the emergence of a new field that has come to be known as multiple criteria decisionmaking (MCDM). MCDM has emerged as a philosophy that integrates common sense with empirical, quantitative, normative, descriptive, and value-judgement-based analysis. MCDM is also a philosophy that is supported by advanced systems concepts (e.g., data management procedures, modelling methodologies, optimization and simulation techniques, and decisionmaking approaches) that are grounded in both the arts and sciences for the ultimate purpose of improving de decisonmaking process. Multiple objectives are incorporated into most modelling and optimization of technological systems today. Good management of both technological and non-technological systems must address the holistic nature of the system in terms of its hierarchical, organizational, and fundamental decisionmaking structure. Also to be considered are the multiple noncommensurate objectives, subobjectives, and sub-subobjectives, including all types of important and relevant risks, the various time horizons, the multiple decisionmakers, constituencies, power brokers, stakeholders, and users of the system, as well as a host of institutional legal, an other socioeconomic conditions. Risk assessment should be an integral part of the multiple-objective modelling effort, and risk management should be an imperative part of the multiple-objective decisionmaking process- not an after-the-fact vacuous exercise. Risk assessment is defined here as a process that encompasses all the following four elements or steps: risk identification, risk quantification, risk evaluation, and risk management. Risk management is defined as the formulation of policies and the development of risk control options (i.e., measures to reduce or prevent risk). The obvious and inevitable overlapping of risk assessment and risk management has led to consider the former as part of the latter. The global project is divided into eight tasks, which are all closely related and intertwined to, on the whole, provide a unified framework for risk analysis. Our group will participate in the eight tasks and it will be the task leader in three: computation of optimal risk management policies; development of the required risk related simulation based computational framework and provision of a rigorous framework for risk analysis in the ICT industry, with emphasis on cybersecurity.
Tipo de proyecto
Proyectos y convenios en convocatorias públicas competitivas
Entidad financiadora
Ministerio de Ciencia e Innovación
Nacionalidad Entidad
Tamaño de la entidad
Fecha concesión
Esta actividad pertenece a memorias de investigación
  • Director: Alfonso Mateos Caballero (UPM)
  • Participante: Antonio Jimenez Martin (UPM)
  • Participante: Jose Villen Altamirano (UPM)
  • Participante: Arminda Moreno Diaz (UPM)
  • Codirector: Ernesto Aaron Aguayo Garcia (UPM)
  • Participante: Pilar Sabio Flores
  • Participante: Miguel Angel Virto García
  • Participante: Evsey Morozov
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de análisis de decisiones y estadística
  • Departamento: Matemática Aplicada (E.U. Informática)
  • Departamento: Inteligencia Artificial
S2i 2021 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)