This project aims to develop a major international effort to create a Global Volcano Model (GVM) that provides systematic evidence, data and analysis of volcanic hazards and risk. The GVM project addresses hazards and risks on global, regional and local scales, and develops the capability to anticipate future volcanism and its consequences. The project builds on initiatives over the last several years to establish a global database of volcanic hazards (VOGRIPA) and to develop analysis and modelling tools to assess volcanic hazard and risk. The proposed GVM project also complements and interfaces with other major international initiatives, notably including the Global Volcanism Progamme of the Smithsonian Institution, WOVOdat (a database on precursors to volcanic eruptions), VHub (a US-led effort to develop an online collaborative environment for volcanology research and risk mitigation, including the development of more effective volcanic hazards models), the Volcano Observatory Best Practices Programme and the International Volcanic Health Hazards Network. The GVM project has parallels with the Global Earthquake Model in intention and scope of providing an authoritative source for assessing volcanic hazard and risk. There is a strong international consensus that GVM is an essential and timely undertaking. This project, which is within the natural hazards theme of NERC's strategy, provides a unique opportunity for the UK to play a leading role in a major international effort to address volcanic hazard and risk. There are 50 or so volcanic eruptions a year worldwide with approximately 20 ongoing at any one time. Increased global volcanic risk derives from factors that are increasing exposure and vulnerability, such as population growth, environmental degradation, urbanization, inequality and increasing independencies in a globalised world. There is also a decrease in societal resilience arising from the way society is organized and the increasing complexities of systems required to respond to emergencies, especially where impacts extend beyond national boundaries. The GVM project will develop an integrated global database system on volcanic hazards, vulnerability and exposure, make this globally accessible and crucially involve the international volcanological community and users in a partnership to design, develop, analyse and maintain the database system. The main hazards include: explosive eruptions, pyroclastic flows, lava domes, lava flows, lahars, tephra fall and ash dispersal, gas, flank collapse, debris flows and health hazards. New reliability indices and measures of uncertainty will be essential elements of the GVM. The GVM project will aim to establish new international metadata standards that will reduce ambiguity in the use of global volcanic datasets. Vulnerability and exposure data will be integrated into the GVM and again new methods of assessment and analysis will be investigated and tested. The integrated database system will be made available via an interactive web system with search engines using both spatial and text-based commands. The downloadable products (including maps, tables and text) and web system will be developed with end-users. Addition of data by users will be facilitated via an upload facility. New data or corrections will be validated by an editor before being incorporated. The project also intends to establish methodologies for analysis of the evidence and data to inform risk assessment, to develop complementary volcanic hazards models, and create relevant hazards and risk assessment tools. Only a very broad international interdisciplinary partnership that is closely aligned to the needs of users of research can meet all these ambitious objectives. The research will provide the scientific basis for mitigation strategies, responses to ash in the atmosphere for the aviation industry, land-use planning, evacuation plans and management of volcanic emergencies.

Risk is the potential of experiencing a loss when a system does not operate as expected due to uncertainties. Its assessment requires the quantification of both the system failure potential and the multi-faceted failure consequences, which affect further systems. Modern industries (including the engineering and financial sectors) require increasingly large and complex models to quantify risks that are not confined to single disciplines but cross into possibly several other areas. Disasters such as hurricane Katrina, the Fukushima nuclear incident and the global financial crisis show how failures in technical and management systems cause consequences and further failures in technological, environmental, financial, and social systems, which are all inter-related. This requires a comprehensive multi-disciplinary understanding of all aspects of uncertainty and risk and measures for risk management, reduction, control and mitigation as well as skills in applying the necessary mathematical, modelling and computational tools for risk oriented decision-making. This complexity has to be considered in very early planning stages, for example, for the realisation of green energy or nuclear power concepts and systems, where benefits and risks have to be considered from various angles. The involved parties include engineering and energy companies, banks, insurance and re-insurance companies, state and local governments, environmental agencies, the society both locally and globally, construction companies, service and maintenance industries, emergency services, etc. The CDT is focussed on training a new generation of highly-skilled graduates in this particular area of engineering, mathematics and the environmental sciences based at the Liverpool Institute for Risk and Uncertainty. New challenges will be addressed using emerging probabilistic technologies together with generalised uncertainty models, simulation techniques, algorithms and large-scale computing power. Skills required will be centred in the application of mathematics in areas of engineering, economics, financial mathematics, and psychology/social science, to reflect the complexity and inter-relationship of real world systems. The CDT addresses these needs with multi-disciplinary training and skills development on a common mathematical platform with associated computational tools tailored to user requirements. The centre reflects this concept with three major components: (1) Development and enhancement of mathematical and computational skills; (2) Customisation and implementation of models, tools and techniques according to user requirements; and (3) Industrial and overseas university placements to ensure industrial and academic impact of the research. This will develop graduates with solid mathematical skills applied on a systems level, who can translate numerical results into languages of engineering and other disciplines to influence end-users including policy makers. Existing technologies for the quantification and management of uncertainties and risks have yet to achieve their significant potential benefit for industry. Industrial implementation is presently held back because of a lack of multidisciplinary training and application. The Centre addresses this problem directly to realise a significant step forward, producing a culture change in quantification and management of risk and uncertainty technically as well as educationally through the cohort approach to PGR training.