Inference, COmputation and Numerics for Insights into Cities (ICONIC)

在应用数学、科学计算和应用统计学之间的界面上有许多有趣的开放性问题。数学是科学的语言，我们用它来描述支配自然和技术系统的运动规律。我们使用统计学来理解数据。我们开发和测试计算机算法，使这些想法具体化。通过将这些概念以系统的方式结合在一起，我们可以验证和强化我们关于基础科学的假设，并对未来的行为做出预测。不确定性量化是一个非常活跃的研究领域，面临着许多挑战;从如何定义和测量不确定性的知识问题到需要尽可能有效地执行密集计算实验的非常实际的问题。ICONIC汇集了一个高知名度的研究人员团队，他们在建模，数值分析，统计和高性能计算方面的技能得到了适当的结合。为了实现具体的影响目标，ICONIC项目将首先关注与城市环境中的犯罪、安全和复原力相关的数学模型的不确定性量化。然后，认识到城市分析是一个非常快速发展的领域，新技术和数据源迅速出现，并利用EPSRC计划拨款的灵活性，我们将把新工具应用于有关人类流动性，交通和基础设施的相关城市主题。通过这种方式，该项目将提高英国在快速发展和全球重要的未来城市领域的研究能力。该项目将利用该团队与世界各地未来城市实验室以及热衷于利用研究成果的非学术利益相关者的强大联系。随着新技术的出现，以及世界各地越来越多的人选择在城市环境中生活和工作，未来城市领域正在产生大量潜在有价值的数据。ICONIC将以英国在基础数学科学方面的实力为基础-为这些数据源增加价值所需的聪明才智-以产生新的算法和计算工具。该研究将与利益相关者一起进行，包括执法机构，技术IT和基础设施提供商，公用事业公司和政策制定者。这些外部合作伙伴将提供反馈和挑战，并随时准备从我们开发的工具中获取价值。我们还有一个国际咨询委员会，由在学术研究、决策、执法、企业参与和公共宣传方面具有相关专门知识的坚定合作伙伴组成。随着这些结构的到位，研究将对英国经济产生直接影响，因为该国在全球未来城市市场上竞争业务。此外，通过关注犯罪、安全和复原力，我们将直接改善公民个人的生活。

There are many interesting open questions at the interface between applied mathematics, scientific computing and applied statistics.Mathematics is the language of science, we use it to describe the laws of motion that govern natural and technologicalsystems. We use statistics to make sense of data. We develop and test computer algorithms that make these ideas concrete. By bringing these concepts together in a systematic way we can validate and sharpen our hypothesis about the underlying science, and make predictions about future behaviour. This general field of Uncertainty Quantification is a very active area of research, with many challenges; from intellectual questions about how to define and measure uncertainty to very practical issues concerning the need to perform intensive computational experiments as efficiently as possible.ICONIC brings together a team of high profile researchers with the appropriate combination of skills in modeling, numerical analysis, statistics and high performance computing. To give a concrete target for impact, the ICONIC project will focus initially on Uncertainty Quantification for mathematical models relating to crime, security and resilience in urban environments. Then, acknowledging that urban analytics is a very fast-moving field where new technologies and data sources emerge rapidly, and exploiting the flexibility built into an EPSRC programme grant, we will apply the new tools to related city topics concerning human mobility, transport and infrastructure. In this way, the project will enhance the UK's research capabilities in the fast-moving and globally significant Future Cities field.The project will exploit the team's strong existing contacts with Future Cities laboratories around the world, and with nonacademic stakeholders who are keen to exploit the outcomes of the research. As new technologies emerge, and as more people around the world choose to live and work in urban environments, the Future Cities field is generating vast quantities of potentially valuable data. ICONIC will build on the UK's strength in basic mathematical sciences--the cleverness needed to add value to these data sources--in order to produce new algorithms and computational tools. The research will be conducted alongside stakeholders--including law enforcement agencies, technical IT and infrastructure providers, utility companies and policy-makers. These external partners will provide feedback and challenges, and will be ready to extract value from the tools that we develop. We also have an international Advisory Board of committed partners with relevant expertise in academic research, policymaking, law enforcement, business engagement and public outreach. With these structures in place, the research will have a direct impact on the UK economy, as the nation competes for business in the global Future Cities marketplace. Further, by focusing on crime, security and resilience we will directly improve the lives of individual citizens.