Structural and Particle Mechanics
Disaster Risk and Resilience
Principal Investigator
Liliana Carreño
Overview
Research
Staff
Projects
Publications
The Disaster Risk and Resilience (DRR) Group develops probabilistic models to estimate economic and human losses from natural and human-caused events, creating multi-hazard risk frameworks and resilience indicators to support disaster management and climate adaptation strategies for different stakeholders.
The group specializes in developing prospective models to estimate potential economic and human losses resulting from both natural and anthropogenic events. The group’s expertise lies in creating multi-hazard catastrophe risk models at various scales and implementing comprehensive analytical frameworks that incorporate socio-economic factors and resilience indicators.
In alignment with current global agendas encouraging disaster risk management and climate change adaptation strategies, the DRR Group employs probabilistic approaches to risk assessment and develops quantitative indicators for resilience and disaster risk management. These tools enable communities, regions, and nations to monitor progress in risk reduction efforts through measurable metrics and informed decision-making processes.
The group’s primary objective is to provide innovative approaches, tools, and frameworks for comprehensive risk assessments that contribute to building more resilient societies. By quantifying vulnerability and resilience factors, these assessments help stakeholders identify priority areas for intervention and develop targeted strategies for risk reduction and adaptation.
The DRR Group has established collaborative relationships with numerous multilateral organizations and maintains an active presence in research, consulting, and capacity building initiatives across different world regions. Through these partnerships, the group disseminates knowledge, methodologies, and tools that empower communities and institutions to better understand and manage disaster risks in diverse geographical and socio-economic contexts.
Research areas
Disaster risk assessment at different scales
Risk assessment from a physical and a comprehensive approach considering socio-economic and lack of resilience indicators is crucial to build a resilient and sustainable society. The development of tools for effective disaster risk management provide results for risk reduction, emergency attention and support different disaster risk management activities. According to the region it is necessary to involve different natural hazards and understand the different vulnerability dimensions. (PI: Liliana Carreño).
Conceptual framework for a holistic disaster risk assessment in the environment sector
Development of indicators for disaster risk evaluation, resilience and disaster risk management
Global agendas encourage countries, regions, and cities to maintain efforts to reduce their disaster risk and improve their resilience. The development of indicators to perform such evaluations and perform progress monitoring helps communicate and apply an informed decision-making process. According to the objectives and needs of the study area, such indicators can be developed for different geographic scales (regional, national or local scales), but also different environments (urban, suburban or natural areas). (PI: Liliana Carreño)
Ecological fragility factor for the Colombian environments, F_EF
Integration of catastrophe models with financial instruments
Probabilistic catastrophe models provide required data for the structuring and design of financial protection strategies. The calibration and validation procedures for different components of the model, index selection, and customization of the models to fit the characteristics of portfolios impact the pricing and reliability of financial protection instruments. (PI: Liliana Carreño)
Comparison of the loss exceedance curves for the reinforced concrete buildings in Barcelona by using different vulnerability models in a probabilistic risk assessment (Salgado et al. 2023)
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