NEASQC is devoted to the emergence of practical applications of quantum computing in its NISQ era, and to the construction of a strong community. NEASQC is use-case centric and organized around 10 real use cases (UC). These UC have been defined by the industrial members and validated by the academic members as NISQ compatible. Each use case will be investigated with a rigorous methodology by an integrated team made of at least one industrial and one academic: 1-Algorithm research and design 2-Development of a prototype software 3-Qualification of the prototype with real data on real or simulated NISQ device 4-Benchmark against state-of-the-art techniques. NEASQC is coordinated by Bull, the Atos subsidiary in charge of Quantum Computing, developer of the QLM/myQLM quantum programming platform. Bull will act as the integrator of NEASQC software deliverables and will guarantee their industrial quality. An important objective of our project is to build an active European community of applied QC. As such, much attention is paid to dissemination, with a significant number of actions toward a large number of end-user communities. The project will welcome associate end users all along. NEASQC will build quantum computing open source libraries out of the use case developments. These libraries will be delivered to the European QT community all along the project, through the project portal. A ready-to-install quantum programming environment (QPE) will be built and made available for free to the community, starting from year 2. NEASQC will work with the flagship funded hardware projects to ensure the QPE is compatible with their platforms. In particular, our libraries will be optimized for each platform. NEASQC does believe in HW/SW co-design, and will define a series of use-case specific benchmarks, to help guide the hardware effort toward the highest efficiency on applications

Technological advances have done, and will do, much to improve cybersecurity. But, a technological approach is only part of the solution - achieving digital security is inherently a socio-technical endeavour. By combining world-leading research with challenge fellows from across the social sciences, expert working groups, innovative approaches to networking and agile, industry-facing commissioning, the DiScriBe Hub+ will not only address the challenges faced by the ISCF Digital Security by Design (DSbD) initiative, but will fundamentally reshape the ways in which social sciences and STEM disciplines work together to address the challenges of digital security by design in the 21st Century. The core missions of the DiScriBe Hub+ are to provide interdisciplinary leadership to realise digital security by design by connecting social science to a hardware layer that rarely receives support or engagement from social science. This social science input will help to unleash the transformational potential that the hardware innovations within Digital Security by Design makes possible. The Hub+ has five main ways of doing this: 1) Running a series of deep engagements with DSbD stakeholders using techniques from the arts and humanities in order to elicit a shared view of 'Digital Security by Design Futures' 2) Conducting an innovative programme of interdisciplinary research to improve our understanding of the barriers and incentives around adoption of new secure architectures, business readiness levels and adoption, regulatory opportunities and challenges, and ways these are experienced and understood across diverse sectors; 3) Commissioning a range of agile, responsive, industry-facing projects and 'connecting capabilities' grants to address specific DSbD challenges; 4) Establishing a network of 'challenge fellows' tasked with synthesising research outcomes (core and commissioned), connecting insights to the wider Digital Security by Design initiative, and ensuring impact, alongside expert working groups comprising industry and researchers to tackle specific problems in a sharp, focussed way; and, 5) Building a community of social scientists, hardware engineers, software developers, industry and policy makers who are deeply engaged in applying a socio-technical lens to digital security by design. DiScriBe is unique in its focus on the benefits of connecting security architecture innovation with leading social science - and will provide a step change in how cybersecurity is treated as an inter-disciplinary, social as well as technical, problem. Many of the lessons on cross disciplinary working will be tested and embedded through close working with the Bristol Digital Futures Institute - a £70m investment in how our ways of working will need to change in the digital future. We have expert challenge fellows who are leading social scientists applying their work to cybersecurity for the first time. These fellows will also lead working groups on specific topics connecting industry, policy and academia, which in turn will lead to a range of open calls for commissioned industry-facing research. This research will be both theoretically rigorous within social science, while also remaining responsive and agile enough to meet the needs of the wider DSbD programme. As a consequence, a major outcome of DiScriBE will not only be a vibrant, new community, but novel insights that can be applied to the development and implementation of new security-related developments.

AI technologies have the potential to unlock significant growth for the UK financial services sector through novel personalised products and services, improved cost-efficiency, increased consumer confidence, and more effective management of financial, systemic, and security risks. However, there are currently significant barriers to adoption of these technologies, which stem from a capability deficit in translating high-level principles (of which there is an abundance) concerning trustworthy design, development and deployment of AI technologies ("trustworthy AI"), including safety, fairness, privacy-awareness, security, transparency, accountability, robustness and resilience, to concrete engineering, governance, and commercial practice. In developing an actionable framework for trustworthy AI, the major research challenge that needs to be overcome lies in resolving the tensions and tradeoffs which inevitably arise between all these aspects when considering specific application settings.For example, reducing systemic risk may require data sharing that creates security risks; testing algorithms for fairness may require gathering more sensitive personal data; increasing the accuracy of predictive models may pose threats to fair treatment of customers; improved transparency may open systems up to being "gamed" by adversarial actors, creating vulnerabilities to system-wide risks. This comes with a business challenge to match. Financial service providers that are adopting AI approaches will experience a profound transformation in key areas of business as customer engagement, risk, decisioning, compliance and other functions transition to largely data-driven and algorithmically mediated processes that involve less and less human oversight. Yet, adapting current innovation, governance, partnership and stakeholder relation management practice in response to these changes can only be successfully achieved once assurances can be confidently given regarding the trustworthiness of target AI applications. Our research hypothesis is based on recognising the close interplay between these research and business challenges: Notions of trustworthiness in AI can only be operationalised sufficiently to provide necessary assurances in a concrete business setting that generates specific requirements to drive fundamental research into practical solutions, with solutions which balance all of these potentially conflicting requirements simultaneously. Recognising the importance of close industry-academia collaboration to enable responsible innovation in this area, the partnership will embark on a systematic programme of industrially-driven interdisciplinary research, building on the strength of the existing Turing-HSBC partnership. It will achieve a step change in terms of the ability of financial service providers to enable trustworthy data-driven decision making while enhancing their resilience, accountability and operational robustness using AI by improving our understanding of sequential data-driven decision making, privacy- and security- enhancing technologies, methods to balance ethical, commercial, and regulatory requirements, the connection between micro- and macro-level risk, validation and certification methods for AI models, and synthetic data generation. To help drive innovation across the industry in a safe way which will help establish the appropriate regulatory and governance framework, and a common "sandbox" environment to enable experimentation with emerging solutions and to test their viability in a real-world business context. This will also provide the cornerstone for impact anticipation and continual stakeholder engagement in the spirit of responsible research and innovation.

The UKRI Centre for Doctoral Training in "Application of Artificial Intelligence to the study of Environmental Risks" will develop a new generation of innovation leaders to tackle the challenges faced by societies across the globe living in the face of environmental risk, by developing new methods that exploit the potential of Artificial Intelligence (AI) approaches to the proper analysis of complex and diverse environmental data. It is made of multiple departments within Cambridge University, alongside the British Antarctic Survey and a wide range of partners in industry and policy. AI offers huge potential to transform our ability to understand, monitor and predict environmental risks, providing direct societal benefit as well as potential commercial opportunities. Delivering the UN 2030 Sustainable Development Agenda and COP 21 Paris Agreement present enormous and urgent challenges. Population and economic growth drive increased demands on a planet with finite resources; the planet's biodiversity is suffering increasing pressures. Simultaneously, humanity's vulnerabilities to geohazards are increasing, due to fragilities inherent in urbanisation in the face of risks such as floods, earthquake, and volcanic eruptions. Reliance on sophisticated technical infrastructures is a further exposure. Understanding, monitoring and predicting environmental risks is crucial to addressing these challenges. The CDT will provide the global knowledge leadership needed, by building partnership with leaders in industry, commerce, policy and academia in visionary, creative and cross-disciplinary teaching and research. Vast and growing datasets are now available that document our changing environment and associated risks. The application of AI techniques to these datasets has the potential to revolutionise our ability to build resilience to environmental hazards and manage environmental change. Harnessing the power of AI in this regard will support two of the four Grand Challenges identified in the UK's Industrial Strategy, namely, to put the UK at the forefront of the AI and data revolution and to maximise the advantages for UK industry from the global shift to clean growth. The students in the CDT will be trained in a broad range of aspects of the application of AI to environmental risk in a multi- disciplinary and enthusing research setting, to become world-leaders in the arena. They will undertake media training activities, public engagement, and training in the delivery of policy advice as well as the development of entrepreneurial skills and an understanding of the approach of business to sustainability. Discussion of the broader societal, legal and ethical dimensions will be integral to this training. In this way the CDT will seed a new domain of AI application in the UK that will become a champion for the subject globally.

We are in a biodiversity crisis. A million species of plants and animals are threatened with global extinction, and wildlife populations across much of the planet have been dramatically reduced, perhaps by as much as a half in recent decades. This is of profound concern because biodiversity underpins human existence. Biodiversity provides the foundation of our economies, livelihoods, food security, health and quality of life. Increasing numbers of people, organisations and governments recognise the need to reverse the perilous state of our ecological inheritance. However, while there is unprecedented willingness to act, what we do not know is what will work most effectively to renew biodiversity and ensure continued delivery of its benefits. The Renewing biodiversity through a people-in-nature approach (RENEW) programme will develop solutions to the renewal of biodiversity. We will work, with a sense of urgency, to reshape understanding and action on biodiversity renewal across scales, creating knowledge at the cutting edge of global debates and policy development, and influencing national institutions, communities and individuals. We know that understanding of, and action on, renewal must take a step change and we will focus on the agency of people in nature, both as part of the problem and as the solution. We focus on a set of challenges: how popular support for biodiversity renewal can be harnessed; how populations that are disengaged, disadvantaged, or disconnected from nature can benefit from inclusion in solutions development; how renewal activities can be designed and delivered by diverse sets of land-managers and interest groups; and how biodiversity renewal can most effectively be embedded in finance and business activities (as has occurred with carbon accounting and climate change). This sits alongside the scientific and technical development necessary to underpin solutions options. Biodiversity renewal is a complex and whole system problem. The solutions require the creation of a new kind of inclusive and diverse research community, one that transcends traditional boundaries between the disciplines needed to tackle the environmental crises of the Anthropocene. Solutions also need to address the inequalities and lack of diversity found in current renewal practices. RENEW has therefore prioritised partnership building, to allow us to combine research with experiment, learning, sharing, outreach and impact, across relevant organisations and wider communities. Our approach means that practical impact is guaranteed. With the National Trust as co-owners of RENEW, we will have significant reach through their membership, outreach programs and public voice. Alongside other key partners in RENEW, our links are responsible for or have influence over much of the UK landscape in which biodiversity renewal activities need to occur. We will use the many landscape-scale nature activities currently underway (or planned in the near future) to develop learning, as if they were 'real time' experiments. The UK is one of the most biodiversity depleted countries in the world. Our ways of working in RENEW, the knowledge we develop, and the solutions we propose, will be of international importance. The lessons we learn will enable future biodiversity researchers and practitioners around the world to do better science, and deliver fairer outcomes.