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By 2018, it is estimated that the number of people in the UK with three or more long-term conditions, also known as multimorbidity , will have grown from 1.9 million to 2.9 million. Various chronic diseases develop simultaneously in response to common risk factors such as smoking, diet, ageing and inactivity. The four most common chronic diseases are cancer, chronic obstructive pulmonary disease (COPD), coronary heart disease and diabetes. A recent study found that over 97% of patients with moderate to severe COPD had at least one concomitant chronic disease. In clinical settings processes are complex and are influenced by a number of social, technical and organisational factors. This complexity can result in variation in how physicians practice, appropriate care is documented, and healthcare costs managed. To reduce inconsistencies, clinical guidelines have emerged based on the best existing evidence, with the aim to support clinical staff and improve the quality of healthcare. Current guidelines almost entirely focus on single conditions. As a result, applying multiple guidelines to a patient may potentially result in conflicting recommendations for care. In software system design and development, we create computer systems capable to support diverse interactions between the environment/users and the system. These interactions often reflect different and possibly conflicting viewpoints, such as those presented by different users or stakeholders. Although software system specification and patient care guidelines seem different, inherently they have something in common. In both cases we have procedures and executions of (partially) ordered sequence of actions (aka activities or tasks) called "traces of execution" in computer science or "pathways" in clinical practice. In the case of computer-based systems, actions are carried out by users or computers (more specifically individual components or objects in the system). In the case of care guidelines, actions are carried out by physicians, patients and carers. In both cases, conflict may arise when individual executions and pathways are incompatible. In this proposal, we investigate automated methods of detection of conflicts in clinical pathways for multimorbidities and propose solutions that resolve them .

The Urban Living Birmingham (ULB) Consortium brings together the expertise of four universities; national and international academic institutions; and very many local, regional and national organisations. The core academic team, led by the University of Birmingham with Birmingham City University, Aston University and the University of Warwick, have world-leading track records in cities, engineering, services and social sciences; a portfolio of pioneering inter-disciplinary research; and a deep understanding of Birmingham and the West Midlands. On 20th November 2015 a meeting of 39 representatives from across Greater Birmingham's public, private and third sectors was held to discuss the Urban Living Partnership Pilot Call. Taking a city focus within the context of the region, this group noted that the appetite for innovation in the development and delivery of urban services was high in Birmingham, but the degree of success and ability to integrate these innovations into mainstream strategies and policies varied greatly. Therein lies the paradox and it became evident that there is a missed opportunity for Birmingham, and British cities more generally, to co-innovate by effectively drawing upon end-users. As the largest city in the UK outside London, with one of the most diverse and youthful populations anywhere in the UK, the City of Birmingham has the potential to set a new agenda for 21st century urban living. Like most great cities, Birmingham is experiencing disruptive change brought about in part by global economic forces combined with reductions in national and local public expenditure. Since the late 1960s, Birmingham has performed poorly on all economic indicators. In addition, in 2014 a review of the city's governance and the organisational capabilities of the city council noted that Birmingham had problems that were so significant that they were of national importance. This project identifies the diverse and interdependent challenges facing the City of Birmingham by the application of a rigorous diagnostic process based on the analysis of datasets informed by end-users and representatives from the public, private and third sectors. The focus is on the identification of opportunities for innovation in integrated and city-wide solutions that cut across traditional policy silos and that have the potential to transform the city into a prosperous, healthy and vibrant living place. The Urban Living Birmingham consortium aims to identify improvements to urban services by combining top-down urban governance with bottom-up lay and expert knowledge to provide an environment that emphasizes and encourages innovations that generate a step change in urban service provision. It will do this by bringing together, developing and applying end-user and open innovation processes (from business disciplines) and participatory and cooperative design principles (from urban design disciplines) to selected urban services and systems to co-create a resilient Birmingham that provides 'better outcomes for people'. Most transformational service innovations occur when service providers go beyond listening to consumers to co-innovating with consumers. This user-centric approach to innovation reflects a process of end-user innovation in which users can modify existing products and services, but also service providers can learn from this process. Urban Living Birmingham will contribute towards the transformation of Birmingham into a city that is a regional asset and a global beacon for urban service innovation; a city with an exceptionally rich quality of urban living, increased social cohesion, reduced deprivation, increased connectivity and productivity, and a healthy urban population.

We propose a new phase of the successful Mathematics for Real-World Systems (MathSys) Centre for Doctoral Training that will address the call priority area "Mathematical and Computational Modelling". Advanced quantitative skills and applied mathematical modelling are critical to address the contemporary challenges arising from biomedicine and health sectors, modern industry and the digital economy. The UK Commission for Employment and Skills as well as Tech City UK have identified that a skills shortage in this domain is one of the key challenges facing the UK technology sector: there is a severe lack of trained researchers with the technical skills and, importantly, the ability to translate these skills into effective solutions in collaboration with end-users. Our proposal addresses this need with a cross-disciplinary, cohort-based training programme that will equip the next generation of researchers with cutting-edge methodological toolkits and the experience of external end-user engagement to address a broad variety of real-world problems in fields ranging from mathematical biology to the high-tech sector. Our MSc training (and continued PhD development) will deliver a core of mathematical techniques relevant to all applied modelling, but will also focus on two cross-cutting methodological themes which we consider key to complex multi-scale systems prediction: modelling across spatial and temporal scales; and hybrid modelling integrating complex data and mechanistic models. These themes pervade many areas of active research and will shape mathematical and computational modelling for the coming decades. A core element of the CDT will be productive and impactful engagement with end-users throughout the teaching and research phases. This has been a distinguishing feature of the MathSys CDT and is further expanded in our new proposal. MSc Research Study Groups provide an ideal opportunity for MSc students to experience working in a collaborative environment and for our end-users to become actively involved. All PhD projects are expected to be co-supervised by an external partner, bringing knowledge, data and experience to the modelling of real-world problems; students will normally be expected to spend 2-4 weeks (or longer) with these end-users to better understand the case-specific challenges and motivate their research. The potential renewal of the MathSys CDT has provided us with the opportunity to expand our portfolio of external partners focusing on research challenges in four application areas: Quantitative biomedical research, (A2) Mathematical epidemiology, (A3) Socio-technical systems and (A4) Advanced modelling and optimization of industrial processes. We will retain the one-year MSc followed by three-year PhD format that has been successfully refined through staff experience and student feedback over more than a decade of previous Warwick doctoral training centres. However, both the training and research components of the programme will be thoroughly updated to reflect the evolving technical landscape of applied research and the changing priorities of end-users. At the same time, we have retained the flexibility that allows co-creation of activities with our end-users and allows us to respond to changes in the national and international research environments on an ongoing yearly basis. Students will share a dedicated space, with a lecture theatre and common area based in one of the UK's leading mathematical departments. The space is physically connected to the new Mathematical Sciences building, at the interface of Mathematics, Statistics and Computer Science, and provides a unique location for our interdisciplinary activities.