We will train a cohort of 65 PhD students to tackle the challenge of Data Creativity for the 21st century digital economy. In partnership with over 40 industry and academic partners, our students will establish the technologies and methods to enable producers and consumers to co-create smarter products in smarter ways and so establish trust in the use of personal data. Data is widely recognised by industry as being the 'fuel' that powers the economy. However, the highly personal nature of much data has raised concerns about privacy and ownership that threaten to undermine consumers' trust. Unlocking the economic potential of personal data while tackling societal concerns demands a new approach that balances the ability to innovate new products with building trust and ensuring compliance with a complex regulatory framework. This requires PhD students with a deep appreciation of the capabilities of emerging technology, the ability to innovate new products, but also an understanding of how this can be done in a responsible way. Our approach to this challenge is one of Data Creativity - enabling people to take control of their data and exercise greater agency by becoming creative consumers who actively co-create more trusted products. Driven by the needs of industry, public sector and third sector partners who have so far committed £1.6M of direct and £2.8M of in kind funding, we will explore multiple sectors including Fast Moving Consumer Goods and Food; Creative Industries; Health and Wellbeing; Personal Finance; and Smart Mobility and how it can unlock synergies between these. Our partners also represent interests in enabling technologies and the cross cutting concerns of privacy and security. Each student will work with industry, public, third sector or international partners to ensure that their research is grounded in real user needs, maximising its impact while also enhancing their future employability. External partners will be involved in PhD co-design, supervision, training, providing resources, hosting placements, setting industry-led challenge projects and steering. Addressing the challenges of Data Creativity demands a multi-disciplinary approach that combines expertise in technology development and human-centred methods with domain expertise across key sectors of the economy. Our students will be situated within Horizon, a leading centre for Digital Economy research and a vibrant environment that draws together a national research Hub, CDT and a network of over 100 industry, academic and international partners. We currently provide access to a network of >80 potential supervisors, ranging from leading Professors to talented early career researchers. This extends to academic partners at other Universities who will be involved in co-hosting and supervising our students, including the Centre for Computing and Social Responsibility at De Montfort University. We run an integrated four-year training programme that features: a bespoke core covering key topics in Future Products, Enabling Technologies, Innovation and Responsibility; optional advanced specialist modules; internship and international exchanges; industry-led challenge projects; training in research methods and professional skills; modules dedicated to the PhD proposal, planning and write up; and many opportunities for cross-cohort collaboration including our annual industry conference, retreat and summer schools. Our Impact Fund supports students in deepening the impact of their research. Horizon has EDI considerations embedded throughout, from consideration of equal opportunities in recruitment to ensuring that we deliver an inclusive environment which supports diversity of needs and backgrounds in the student experience.

The IoT represents a convergence of ubiquitous computing and communication technologies, with emerging uses that actuate in the real world. No longer do ubiquitous computing systems simply sense and respond digitally, now they physically interact with the world, ultimately becoming embodied and autonomous. At the same time, the game is changing from one of privacy, where it is often (contestably) cited that "users don't care", to one of user safety, where users (along with regulators, governments, and other stakeholders) certainly do care. Likewise, industry needs to become aware that this shift also changes the legal basis under which companies need to operate, from one of disparate and often weakly enforced privacy laws, to one of product liability. The current widely adopted approach in which cloud services underpin IoT devices has already raised major privacy issues. Importantly in an actuated future, untrammelled communications implicating a plethora of heterogeneous online services in their normal operation also brings with it resilience challenges. We must ensure the integrity of actuating systems, which will require greater local autonomy alongside increased situated accountability to users. This problem applies in many areas: industrial control, autonomous vehicles, and smart cities and buildings, including the intimate and shared context of the home. This research seeks to address the challenge in the context of the home, where the network infrastructure protection is minimal, providing little or no isolation between attached devices and the traffic they carry. Scant attention has been paid by the research community to home network security, and its acceptability and usability, from the viewpoint of ordinary citizens. This research is also deeply rooted in pragmatism and recognises the 'real world, real time' conditions that attach to the IoT: - that the cyber security solutions currently being defined for IoT systems will not deal with legacy issues and will never achieve 100% adoption; - that extant businesses limit the period of time for which they will provide software and security updates (if they even remain in business); - that cyber security is an arms race and threats will continue to emerge in future; - and that the public will never become network security experts.

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.

The UK Foundation Industries (Glass, Metals, Cement, Ceramics, Bulk Chemicals and Paper), are worth £52B to the UK economy, produce 28 million tonnes of materials per year and account for 10% of the UK total CO2 emissions. These industries face major challenges in meeting the UK Government's legal commitment for 2050 to reduce net greenhouse gas emissions by 100% relative to 1990, as they are characterised by highly intensive use of both resources and energy. While all sectors are implementing steps to increase recycling and reuse of materials, they are at varying stages of creating road maps to zero carbon. These roadmaps depend on the switching of the national grid to low carbon energy supply based on green electricity and sustainable sources of hydrogen and biofuels along with carbon capture and storage solutions. Achievement of net zero carbon will also require innovations in product and process design and the adoption of circular economy and industrial symbiosis approaches via new business models, enabled as necessary by changes in national and global policies. Additionally, the Governments £4.7B National Productivity Investment Fund recognises the need for raising UK productivity across all industrial sectors to match best international standards. High levels of productivity coupled with low carbon strategies will contribute to creating a transformation of the foundation industry landscape, encouraging strategic retention of the industries in the UK, resilience against global supply chain shocks such as Covid-19 and providing quality jobs and a clean environment. The strategic importance of these industries to UK productivity and environmental targets has been acknowledged by the provision of £66M from the Industrial Strategy Challenge Fund to support a Transforming Foundation Industries cluster. Recognising that the individual sectors will face many common problems and opportunities, the TFI cluster will serve to encourage and facilitate a cross sectoral approach to the major challenges faced. As part of this funding an Academic Network Plus will be formed, to ensure the establishment of a vibrant community of academics and industry that can organise and collaborate to build disciplinary and interdisciplinary solutions to the major challenges. The Network Plus will serve as a basis to ensure that the ongoing £66M TFI programme is rolled out, underpinned by a portfolio of the best available UK interdisciplinary science, and informed by cross sectoral industry participation. Our network, initially drawn from eight UK universities, and over 30 industrial organisations will support the UK foundation industries by engaging with academia, industry, policy makers and non-governmental organisations to identify and address challenges and opportunities to co-develop and adopt transformative technologies, business models and working practices. Our expertise covers all six foundation industries, with relevant knowledge of materials, engineering, bulk chemicals, manufacturing, physical sciences, informatics, economics, circular economy and the arts & humanities. Through our programme of mini-projects, workshops, knowledge transfer, outreach and dissemination, the Network will test concepts and guide the development of innovative outcomes to help transform UK foundation industries. The Network will be inclusive across disciplines, embracing best practice in Knowledge Exchange from the Arts and Humanities, and inclusive of the whole UK academic and industrial communities, enabling access for all to the activity programme and project fund opportunities.

Overview: We propose a Centre for Doctoral Training in Data Science. Data science is an emerging discipline that combines machine learning, databases, and other research areas in order to generate new knowledge from complex data. Interest in data science is exploding in industry and the public sector, both in the UK and internationally. Students from the Centre will be well prepared to work on tough problems involving large-scale unstructured and semistructured data, which are increasingly arising across a wide variety of application areas. Skills need: There is a significant industrial need for students who are well trained in data science. Skilled data scientists are in high demand. A report by McKinsey Global Institute cites a shortage of up to 190,000 qualified data scientists in the US; the situation in the UK is likely to be similar. A 2012 report in the Harvard Business Review concludes: "Indeed the shortage of data scientists is becoming a serious constraint in some sectors." A report on the Nature web site cited an astonishing 15,000% increase in job postings for data scientists in a single year, from 2011 to 2012. Many of our industrial partners (see letters of support) have expressed a pressing need to hire in data science. Training approach: We will train students using a rigorous and innovative four-year programme that is designed not only to train students in performing cutting-edge research but also to foster interdisciplinary interactions between students and to build students' practical expertise by interacting with a wide consortium of partners. The first year of the programme combines taught coursework and a sequence of small research projects. Taught coursework will include courses in machine learning, databases, and other research areas. Years 2-4 of the programme will consist primarily of an intensive PhD-level research project. The programme will provide students with breadth throughout the interdisciplinary scope of data science, depth in a specialist area, training in leadership and communication skills, and appreciation for practical issues in applied data science. All students will receive individual supervision from at least two members of Centre staff. The training programme will be especially characterized by opportunities for combining theory and practice, and for student-led and peer-to-peer learning.