Concept

Civil infrastructure constitutes a vital component of prosperity in modern, densely populated societies by facilitating the mobility of people, goods and services. Its smooth and undisruptive operation is crucial for ensuring sustainability after extreme natural disasters such as floods, landslides and earthquakes as natural disasters have led to enormous direct and indirect losses to the affected areas. Key in assessing the community loss is the concept of infrastructure and community resilience that expresses their ability to withstand and adapt to a natural disaster, while being able to recover and back to normality quickly. Βecause we live in an uncertain and rapidly changing world, hazard-induced direct and indirect loss is assessed probabilistically. However, the complexity and interdependency of engineering systems is so high that it often overwhelms society as well as industry, resulting in the over-simplification of problems and “common-sense” solutions. 
  • ​How do we overcome this gap between society needs for simplification and rigour at the same time?
  • How do we change the culture of working between academia, the industry and the stakeholders in the UK and beyond?
This website is our proposal to develop a series of, thought-provoking, brief online multi-media introductions to key principles of engineering solutions including examples from our real-life applications, interactions with industry and other stakeholders.

The target group is the wider professional community in the industry of construction, design, management and insurance of civil infrastructure. 
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Course 1: the library

Database of inforgraphics, papers and educational videos that are gathered in one place for a quick introduction into uncertainty quantification 

Course 2: Risk Toolbox

A set of computer, mobile phone and web tools for assessing hazard and vulnerability structures and geostructures to mitigate risk

Course 3: Expert talks

A series of interviews with international experts, sharing ideas and thoughts on uncertainty quantification for informed decision-making