Infrastructure is fundamental to our economy and society, e.g. being one of the 10 pillars of the recently launched UK Industrial Strategy. Long linear (geotechnical) assets (LLAs) are a major component of this infrastructure and fundamental to the delivery of critical services over long distances (e.g. road & railway slopes, pipeline bedding, flood protection structures). Central government infrastructure investment will rise by almost 60% to £22 billion p.a. by 2022 (ONS). This will support both the development of new infrastructure, and the repair of existing infrastructure. At present, there are 10,200 km of flood defences in Great Britain; 80,000 km of highways; 15,800 km of railway). Failure of these assets is common-place (e.g. in 2015 there were 143 earthworks failures on Network Rail - >2 per week), the resulting cost of failure is high (e.g. for Network Rail, emergency repairs cost 10 times planned works, which cost 10 times maintenance), and vulnerability to these failures is significant (748,000 properties with at least a 1-in-100 annual chance of flooding; derailment from slope failure is the greatest infrastructure-related risk faced by our railways). However, the exact reasons for - and timing of - failure is, at present, poorly understood. This leads to unanticipated failures that cause severe disruption and damage to reputation. Current approaches to design and asset management perpetuate this situation as they are based on past experience, which cannot be extrapolated to future performance: the infrastructure is older, ever more intensively used and subject to increasingly extreme weather patterns. Together, these factors significantly increase the likelihood of failures in the future causing reduced performance and poorer service. Climate change has been identified as one of the factors driving this change. There is an exciting opportunity to bring together new advances in research and technology with design and asset management practices from different LLAs to reduce the risks posed to infrastructure systems by deterioration and future change. Current techniques can estimate future rates of deterioration that might lead to failure in transport infrastructure slopes, but are difficult to scale up, do not capture all drivers of deterioration relevant to all LLAs, are poor at dealing with uncertainty and heterogeneity, and lack rigorous validation against representative field data. Different asset owners have access to vast quantities of failure and condition data from their networks (recently enabled by technological advances in data capture and storage) but use different approaches to address failure based on historical data. ACHILLES proposes a research programme that brings these approaches together, coupled with statistical advances to enable rigorous use of network data, and economics to assess the value of design, monitoring and mitigation options. Our long-term vision is for the UK's infrastructure to deliver consistent, affordable and safe services, underpinned by intelligent design, management and maintenance. ACHILLES proposes a Programme to address this challenge by combining laboratory/field experimentation, numerical modelling and simulation, statistical data and cost benefit analysis, and activities to enable its outcomes to be adopted by LLA owners/operators: Deeper understanding of material and asset deterioration and how to model and predict New design tools to account for deterioration; and assessment tools to characterise Strategies to mitigate deterioration from material to asset scale Decision-making framework to prioritise spending on design, monitoring and/or interventions that accounts for heterogeneity and uncertainty, and informs appropriate business cases Better understanding of the importance of characterising heterogeneity and uncertainty for infrastructure decision making processes Knowledge and tools to incorporate data analytics into asset assessment and monitoring

ADR UK (Administrative Data Research UK) is a partnership transforming the way researchers access the UK’s wealth of public sector data, to enable better informed policy decisions that improve people’s lives. By linking together data held by different parts of government, and by facilitating safe and secure access for accredited researchers to these newly joined-up data sets, ADR UK is creating a sustainable body of knowledge about how our society and economy function – tailored to give decision makers the answers they need to solve important policy questions. ADR UK is made up of three national partnerships (ADR Scotland, ADR Wales, and ADR NI) and the Office for National Statistics (ONS), which ensures data provided by UK government bodies is accessed by researchers in a safe and secure form with minimal risk to data holders or the public. The partnership is coordinated by a UK-wide Strategic Hub, which also promotes the benefits of administrative data research to the public and the wider research community, engages with UK government to secure access to data, and manages a dedicated research budget. ADR UK is funded by the Economic and Social Research Council (ESRC), part of UK Research and Innovation. To find out more, visit adruk.org or follow @ADR_UK on Twitter. Welsh Government receives funding as part of the ADR Wales (Administrative Data Research Wales) partnership, which brings together world-renowned data science experts, leading academics and specialist teams within Welsh Government - including statisticians, economists and social researchers - to produce evidence that shapes future policy decisions in Wales. The partnership is ideally placed to maximise the utility of anonymous and secure data to shape public service delivery, which will ultimately improve the lives of people in Wales. The data linked and analysed by ADR Wales aims to address the priority areas for action in Wales, as identified in the Welsh Government’s national strategy, 'Prosperity for All'. Early years, housing, social care, mental health, wellbeing, skills and employment and emerging government priorities such as decarbonisation are at the centre of the partnership’s work.

There is an increasing demand from policy that conservation and sensitive management of our landscape should not be restricted to areas designated for their conservation value, but should extend to the broader landscape as well. There is also an increasing expectation from society that development and infrastructure projects should be undertaken in such a way that not only minimises their environmental impact but where possible enhances the wider landscape and the benefits and services that we obtain from it, such as flood prevention, the provision of clean water, carbon storage and recreation. Those organisations and businesses responsible for managing large areas of the landscape therefore need the appropriate information to help them achieve these goals. There is an increasing body of evidence concerning how landscape management affects landscape benefits and services. This evidence has helped to inform the development of a wide range of computer models that can be used to quantify the different services that a particular landscape provides, and to predict the likely impacts of landscape change on these services. However, many of these models are heavily research-focused, require specialist knowledge to operate and interpret, and are not accessible to general users. In this project, using two existing ecosystem service decision-support models as test-beds for the approach, we will develop a web-based tool that will allow users of the models to examine and evaluate the evidence base underlying the predictions of the models. This evidence tool will use a process that is well-established as industry standard in other areas of application, including engineering and transport safety, but has not previously been applied in environmental management. The tool will allow users of these ecosystem service models to understand and track the evidence underpinning model predictions for the first time. There are potential applications of this evidence tool across a wide range of sectors, including energy, water and transport, and the construction industry, as well as for nature conservation. Our group of formal partners in the project attests to this, and includes an industry regulator, an energy supply company, a construction firm, a landscape management partnership and a Wildlife Trust, as well as Defra, the Welsh Government, Natural Resources Wales and Natural England.

The Internet of Things (IoT) represents the next major step for the Internet as it evolves from a communication substrate that connects computers to one that connects and embraces everyday objects (things). This has the potential to revolutionize many different sectors of the economy and society more generally, e.g. enabling smart cities, smart transport systems, intelligent management of energy supplies, etc, all enabled by data collection from sensors. Most research in the Internet of Things has been carried out in cities and urban areas more generally. In our view, IoT has even more potential in rural environments, providing real-time data streams to support a deep understanding of environmental inter-dependencies and the subsequent support for holistic management strategies. More specifically, we argue that the combination of IoT technology coupled with Cloud Computing enables a paradigm shift in our understanding and management of the natural environment in times of unprecedented environmental change. This project will illustrate and evaluate the potential of IoT technology in a given catchment, the Conwy. Through this, we will deliver: 1. An integrated distributed systems infrastructure consisting of an experimental Internet of Things also linking to a cloud computing environment, and achieving interoperability across the resultant complex system; 2. A set of techniques to discover and study inter-dependencies across disparate real-time data streams representing different environmental facets, at potentially different geographical locations and at different scales; 3. Two end user driven applications based on the underlying IoT/ cloud infrastructure demonstrating the impact of a more integrative approach to science and how it can inform holistic environmental management, e.g. across land and water management. The proposed research involves a world class, cross-disciplinary team bringing together the expertise of the School of Computing and Communications at Lancaster University and the Environment Centre Wales (incorporating CEH and the University of Bangor). The project also has a strong Stakeholders Group involving representatives of key beneficiaries of the work including: Welsh Water, Natural Resources Wales (merged Environment Agency-Wales, Forestry Commission Wales, Countryside Council for Wales), Welsh Government and Conwy CC.

The vision of RM4L is that, by 2022 we will have achieved a transformation in construction materials, using the biomimetic approach first adopted in M4L, to create materials that will adapt to their environment, develop immunity to harmful actions, self-diagnose the on-set of deterioration and self-heal when damaged. This innovative research into smart materials will engender a step-change in the value placed on infrastructure materials and provide a much higher level of confidence and reliability in the performance of our infrastructure systems. The ambitious programme of inter-related work is divided into four Research Themes (RTs); RT1: Self-healing of cracks at multiple scales, RT2: Self-healing of time-dependent and cyclic loading damage, RT3: Self-diagnosis and immunisation against physical damage, and RT4: Self-diagnosis and healing of chemical damage. These bring together the four complementary technology areas of self-diagnosis (SD); self-immunisation and self-healing (SH); modelling and tailoring; and scaling up to address a diverse range of applications such as cast in-situ, precast, repair systems, overlays and geotechnical systems. Each application will have a nominated 'champion' to ensure viable solutions are developed. There are multiple inter-relationships between the Themes. The nature of the proposed research will be highly varied and encompass, amongst other things, fundamental physico-chemical actions of healing systems, flaws in potentially viable SH systems; embryonic and high-risk ideas for SH and SD; and underpinning mathematical models and optimisation studies for combined self-diagnosing/self-healing/self-immunisation systems. Industry, including our industrial partners throughout the construction supply chain and those responsible for the provision, management and maintenance of the world's built environment infrastructure will be the main beneficiaries of this project. We will realise our vision by addressing applications that are directly informed by these industrial partners. By working with them across the supply chain and engaging with complementary initiatives such as UKCRIC, we will develop a suite of real life demonstration projects. We will create a network for Early Career Researchers (ECRs) in this field which will further enhance the diversity and reach of our existing UK Virtual Centre of Excellence for intelligent, self-healing construction materials. We will further exploit established relationships with the international community to maximise impact and thereby generate new initiatives in a wide range of related research areas, e.g. bioscience (bacteria); chemistry (SH agents); electrochemical science (prophylactics); computational mechanics (tailoring and modelling); material science and engineering (nano-structures, polymer composites); sensors and instrumentation and advanced manufacturing. Our intention is to exploit the momentum in outreach achieved during the M4L project and advocate our work and the wider benefits of EPRSC-funded research through events targeted at the general public and private industry. The academic impact of this research will be facilitated through open-access publications in high-impact journals and by engagement with the wider research community through interdisciplinary networks, conferences, seminars and workshops.