Public opinion on complex scientific topics can have dramatic effects on industrial sectors (e.g. GM crops, fracking, global warming). In order to realise the industrial and societal benefits of Autonomous Systems, they must be trustworthy by design and default, judged both through objective processes of systematic assurance and certification, and via the more subjective lens of users, industry, and the public. To address this and deliver it across the Trustworthy Autonomous Systems (TAS) programme, the UK Research Hub for TAS (TAS-UK) assembles a team that is world renowned for research in understanding the socially embedded nature of technologies. TASK-UK will establish a collaborative platform for the UK to deliver world-leading best practices for the design, regulation and operation of 'socially beneficial' autonomous systems which are both trustworthy in principle, and trusted in practice by individuals, society and government. TAS-UK will work to bring together those within a broader landscape of TAS research, including the TAS nodes, to deliver the fundamental scientific principles that underpin TAS; it will provide a focal point for market and society-led research into TAS; and provide a visible and open door to engage a broad range of end-users, international collaborators and investors. TAS-UK will do this by delivering three key programmes to deliver the overall TAS programme, including the Research Programme, the Advocacy & Engagement Programme, and the Skills Programme. The core of the Research Programme is to amplify and shape TAS research and innovation in the UK, building on existing programmes and linking with the seven TAS nodes to deliver a coherent programme to ensure coverage of the fundamental research issues. The Advocacy & Engagement Programme will create a set of mechanisms for engagement and co-creation with the public, public sector actors, government, the third sector, and industry to help define best practices, assurance processes, and formulate policy. It will engage in cross-sector industry and partner connection and brokering across nodes. The Skills Programme will create a structured pipeline for future leaders in TAS research and innovation with new training programmes and openly available resources for broader upskilling and reskilling in TAS industry.

The Covid-19 pandemic has had significant adverse effects on university students, whose education and training has been severely disrupted and their social contacts and job prospects lost. Even before the pandemic around of a third of students would had had symptoms of depression, with students who are economically disadvantaged at greatest risk. Depressed students do less well academically which has negative impacts on their employment prospects and they are also less likely to follow health advice. Thus depressed students are particularly vulnerable to the health and economic impacts of the COVID-19 pandemic. This is a particular concern for students in less developed countries such as Zambia where access to mental health services is limited by the lack of resources and by the stigma associated with psychiatric illness. This study aims to address this cycle of disadvantage by providing targeted access to an effective, online treatment programme for depression (moodgym) to a 1000 students who identify themselves as having symptoms of depression. These students will be recruited from universities in Zambia, Malawi and Botswana: all countries identified as eligible for overseas development assistance. Moodgym is based on principles of cognitive behavioural therapy and aims to reduce the risk of depression by helping users to recognize and change those negative thoughts and behaviour patterns which can drive and sustain low mood. The 5 modules are particularly aimed at young people aged 15 to 25 and include exercises, practical assignments and quizzes. This study will investigate whether combining moodgym with a university-wide online COVID-19 prevention programme will improve students' mental health and enhance their ability to withstand the health and economic challenges of COVID-19. The online COVID-19 prevention program, adapted for each local context, will portray health-promotion behaviours such as social distancing and face coverings as a normal part of student life. We will collect feedback data from the prevention programme and survey data before and after the moodgym/ COVID-19 prevention programme intervention to look for improvements in depression, academic performance and COVID prevention behaviours and to check whether benefits are felt equally by men and women. We will also interview participants to try to understand how moodgyam helped them and to explore their feelings about the impact of COVID-19 on their mood and their studies. We also want to find out which factors are associated with improved mental health and academic outcomes so that we can ensure the intervention's sustainability and successful implementation in other less developed countries.

The Horizon institute is a multidisciplinary centre of excellence for Digital Economy (DE) research. The core mission of Horizon has been to balance the opportunities arising from the capture, analysis and use of personal data with an awareness and understanding of human and social values. The focus on personal data in a wide range of contexts has required the development of a broad set of multidisciplinary competencies allowing us to build links from foundational algorithms and system to issues of society and policy. We follow a user-centred approach, undertaking research in the wild based on principles of open innovation. Horizon now encompasses over 50 researchers, spanning Computing, Engineering, Law, Psychology, Social Sciences, Business and the Humanities. It has grown a diverse network of over 200 external partners who are involved in ongoing collaborative research and impact with Horizon, ranging from major international corporations to SMEs, from a wide variety of sectors, alongside government and civil society groups. We have also established a CDT in the third wave of funding that will eventually deliver 150 PhDs. Our critical mass of researchers, partners, students and funding has already led to over 800 peer-reviewed publications, composed of: 277 journal articles, 51 books and book chapters, and 424 conference papers, in a total of 15 different disciplines. Over the years Horizon's focus has evolved from an emphasis on the collection and understanding of personal data to consider the user-centred design and development of data-driven products. This proposal builds on our established interdisciplinary competencies to deliver research and impact to ensure that future data-driven products can be both co-created and trusted by consumers. Core to our current vision is the idea that future products will be hybrids of both the digital and the physical. Physical products are increasingly augmented with digital capabilities, from data footprints that capture their provenance to software that enables them to adapt their behaviour. Conversely, digital products are ultimately physically experienced by people in some real-world context and increasingly adapt to both. This real-world context is social; hence the data is social and often implicates groups, not just individuals. We foresee that this blending of physical and digital will drive the merging of traditional goods, services and experiences into new forms of product. We also foresee that - just as today's social media services are co-created by consumers who provide content and data - so will be these new data-driven products. At the same time, we are also witnessing a crisis of trust concerning the commercial use of personal data that threatens to undermine this vision of data-driven products. Hence, it is vitally important to build trust with consumers and operate within an increasingly complex regulatory environment from the earliest stages of innovating future products. Our user-centred approach involves external partners and the public in "research-in-the-wild", grounding our fundamental research in real world challenges. Our delivery programme combines a bottom-up approach in which researchers are given the opportunity (and provided with the skills) to follow new impact opportunities in collaboration with partners as they arise (our Agile programme), with a top-down approach that strategically coordinates how these activities are targeted at wider communities (our Campaigns programme, with successive focus on Consumables, Co-production and Welfare), and reflective processes that allow us to draw out broader conclusions for the widest possible impact (our Cross-Cutting programme). Throughout we aim to continue to develop the capacity in our researchers, the wider DE research community and more broadly within society, to engage in responsible innovation using personal data within the Digital Economy.

Global and local (UK) populations are ageing and this has contributed to an increase in demand for health and welfare services. Chronic and long-term conditions are also on the increase, leading to increased costs of health and social care and wide-ranging changes to the nature of health interventions. As a result, it is increasingly desirable to keep people out of hospital, treating people nearer to, or in their home. For reasons of cost, convenience and dignity it is also sometimes desirable that patients engage in self-care or carer-delivered care. Care independence has long been a feature of some diagnosis and treatment regimes: most medications are taken by the patient themselves; diabetic patients regularly monitor blood sugar levels and inject themselves. This work aims to extend these concepts of self care to a boarder range of health conditions, and their associated technologies, that are not currently expected to be delivered by the patient or their carer. The network consists of four academic centres: * Cambridge Engineering Design Centre, University of Cambridge; * CHI+MED, Collaboration led by University College London (UCL); * Loughborough Design School, Loughborough University and * Helen Hamlyn Centre for Design, Royal College of Art and three Healthcare Technology Cooperatives (HTCs) * Devices for Dignity, (D4D) Sheffield Teaching Hospitals NHS Foundation Trust; * MindTech HTC, Nottinghamshire Healthcare NHS Trust and Institute of Psychiatry and * Brain Injury HTC, Cambridge Universities Hospitals NHS Foundation Trust. This network of design researchers and healthcare technology specialists will carry out a series of design-led pilot projects to explore solutions to care independence challenges. The aim of the pilot projects is to encourage innovation in order to find radical new ways of using technologies to allow sustainable patient independence while maintaining clinical quality, safety and patient and carer experience while reducing costs. The pilot projects will be need driven and will be selected as part of the networking with NIHR Healthcare Technology Cooperatives. The pilot project outputs will be conceptual designs that can be further developed (not funded by the network) or definitions of research need that can be developed into research proposals.

This is a proposal for a partnership between engineering and physical science (EPS) researchers - initially in the Universities of Manchester, Nottingham, Sheffield, Lancaster and York - and the MindTech Healthcare Technology Cooperative. The aim is to explore the potential for technology to transform the management and treatment of mental health conditions, identifying underpinning EPS research challenges, and working together to address them. Mental health already accounts for 13% of the NHS budget (the highest proportion for any disease area, and growing rapidly) and is a major cause of reduced quality of life. Most care is in the community, but most of the cost is associated with unplanned hospital admissions resulting from inadequate/ineffective care. There is great potential for technology to transform care in the community - improving diagnosis/stratification, supporting self-care, involving family and friends more effectively, and providing timely prompts and alerts for healthcare professionals. If this potential is to be realised, there are, however, significant EPS challenges to be addressed - in sensing systems, information management, data analytics and human-computer interaction. The model we propose aims to build an integrated community of EPS researchers and users, who will co-develop an EPS research agenda grounded in a clear clinical need, informed by the perspectives, experiences and needs of patients/carers, healthcare commissioning/provider organisations, healthcare professionals and industry (both technology and healthcare, ranging from SMEs to large multinational companies). The partnership will focus on four broad clinical areas of major societal importance, aligned with the MindTech HTC agenda: serious mental illness, mood and affective disorder, dementia, and developmental disorders - each with clinical leadership - drawing on mental health expertise in both Nottingham (the MindTech HTC) and Manchester. We currently identify four areas of challenging EPS research required to underpin the development of effective technologies for managed self-care of mental health conditions: sensing systems for acquiring rich, 'real-time' longitudinal data (new sensing technologies, sensor systems); information management methods for incrementally integrating and linking heterogeneous information and data (integrating and linking data from different sources, information representation); data analytics for extracting predictive outcome models, particularly from temporal data (modelling longitudinal data, modelling populations of temporal models, image computing; and human-computer interaction methods for the managed self-care setting (collaborative decision-support).