EPSRC and ESRC Centre for Doctoral Training in Quantification and Management of Risk & Uncertainty in Complex Systems & Environments.

风险是指当系统由于不确定因素而不能按预期运行时，遭受损失的可能性。它的评估需要量化系统故障潜力和影响进一步系统的多方面故障后果。现代行业(包括工程和金融部门)需要越来越大和复杂的模型来量化风险，这些风险不仅限于单一学科，还可能交叉到其他几个领域。卡特里娜飓风、福岛核事故和全球金融危机等灾难表明，技术和管理系统的故障如何导致后果，以及技术、环境、金融和社会系统的进一步故障，所有这些都是相互关联的。这需要对不确定性和风险的所有方面以及风险管理、减少、控制和缓解措施有全面的多学科了解，并掌握运用必要的数学、建模和计算工具进行面向风险的决策的技能。这种复杂性必须在非常早期的规划阶段考虑到，例如，为了实现绿色能源或核电的概念和系统，必须从不同的角度考虑收益和风险。涉及的各方包括工程和能源公司、银行、保险和再保险公司、州和地方政府、环境机构、本地和全球社会、建筑公司、服务和维护行业、应急服务等。CDT专注于培养利物浦风险与不确定性研究所这一特定领域的高技能毕业生。新的挑战将使用新兴的概率技术，以及广义的不确定性模型、模拟技术、算法和大规模计算能力来应对。所需技能将集中在工程、经济学、金融数学和心理学/社会科学领域的数学应用，以反映现实世界系统的复杂性和相互关系。CDT通过在通用数学平台上的多学科培训和技能开发以及根据用户要求定制的相关计算工具来满足这些需求。该中心以三个主要部分反映这一概念：(1)发展和提高数学和计算技能；(2)根据用户的需求定制和实施模型、工具和技术；(3)为工业和海外大学派位，以确保研究产生产业和学术影响。这将培养在系统层面上应用扎实的数学技能的毕业生，他们能够将数值结果转换为工程语言和其他学科的语言，以影响最终用户，包括政策制定者。用于量化和管理不确定性和风险的现有技术尚未实现其对工业的重大潜在好处。由于缺乏多学科的培训和应用，工业实施目前受到阻碍。该中心直接解决这一问题，以实现向前迈出的重要一步，通过PGR培训的队列方法，在技术上和教育上改变风险和不确定性的量化和管理方面的文化。

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.