Context Social intelligence is an important aspect of human cognition making us capable of dealing with others' attitudes, intentions, feelings, personality, and expectations. Correspondingly, Artificial Social Intelligence is the area of Artificial Intelligence (AI) that aims at endowing machines with such social intelligence, i.e., with the ability to interact with their users in the same way as people interact with one another. While being driven by technological needs, Artificial Social Intelligence is an inherently interdisciplinary field that revolves around humans as much as it revolves around the building of machines. As a result, the proposed Centre for Doctoral Training (CD) is based on the collaboration between different experts in human behaviour - students will be trained by specialists ranging in expertise from neural, physiological, cognitive and psychological processes to verbal/nonverbal societal communication - and experts in AI methodologies. They will gain expertise and skills that will range from the synthesis of human/societal interactive behaviour to the distillation of knowledge from sensors and data. - Aims and objectives The goal of the CDT is to train the next generation of experts in Artificial Social Intelligence, young researchers and practitioners well versed not only in AI, but also in a range of fields spanning from Psychology/Social Science and Neuroscience to Human-Computer Interaction and Data Science. These different disciplines will come together to train the cohort in: a. Identifying principles and laws underlying social interactions between users and agents; b. Developing technological approaches that allow artificial agents to act as believable partners in social interactions involving human users; c. Integrating artificial agents into the wider technological infrastructures; d. Investigating human responses to artificial agents in a naturalistic, real-world social settings. Academic involvement will be in the form of the provision of courses across the topics listed above, advanced workshops and direct supervision in cutting edge research that is not necessarily (yet) part of the industrial workflow. - Applications and Benefits The proposed training approach will be in tight collaboration and co-creation with our industrial partners as the aim is to provide the students with the best of both the academic and industry worlds. Industrial involvement will be in the form of co-design and co-supervision of the PhD project as well as placements, usually over a period of 3 months. This will allow the students to co-create innovation through the PhD proposal and the development of specific, real-world industry problems. Such a tight interaction with industry will also be of advantage to the UK economy that will benefit from a pool of talent trained not only from a scientific and technological point of view, but also in terms of professional skills and experience necessary to operate in highly technological companies. Students will further benefit from wider social sciences training through the proposed partnership with the Scottish Graduate School for Social Sciences (SGSSS), a ESRC funded Doctoral Training Partnership (DTP) with a track record for excellence in Teaching, Cohort training and Knowledge Exchange and Impact. The outlined training model will inform AI approaches with the findings on human behaviour and, vice versa, AI technologies will be used to better understand and model human behaviour. Last, but not least, the emphasis on ethics and social issues is of great societal importance as AI-driven technologies play an increasingly important role in sensitive settings such as healthcare, assistance, education, law enforcement, etc.

PREMIERE will integrate challenges identified by the EPSRC Prosperity Outcomes and the Industrial Strategy Challenge Fund (ISCF) in healthcare (Healthy Nation), energy (Resilient Nation), manufacturing and digital technologies (Resilient Nation, Productive Nation) as areas to drive economic growth. The programme will bring together a multi-disciplinary team of researchers to create unprecedented impact in these sectors through the creation of a next-generation predictive framework for complex multiphase systems. Importantly, the framework methodology will span purely physics-driven, CFD-mediated solutions at one extreme, and data-centric solutions at the other where the complexity of the phenomena masks the underlying physics. The framework will advance the current state-of-the-art in uncertainty quantification, adjoint sensitivity, data-assimilation, ensemble methods, CFD, and design of experiments to 'blend' the two extremes in order to create ultra-fast multi-fidelity, predictive models, supported by cutting-edge experimental investigations. This transformative technology will be sufficiently generic so as to address a wide spectrum of challenges across the ISCF areas, and will empower the user with optimal compromises between off-line (modelling) and on-line (simulation) efforts so as to meet an a priori 'error bar' on the model outputs. The investigators' synergy, and their long-standing industrial collaborations, will ensure that PREMIERE will result in a paradigm-shift in multiphase flow research worldwide. We will demonstrate our capabilities using exemplar challenges, of central importance to their respective sectors in close collaboration with our industrial and healthcare partners. Our PREMIERE framework will provide novel and more efficient manufacturing processes, reliable design tools for the oil-and-gas industry, which remove conservatism in design, improve safety management, and reduce emissions and carbon footprint. This framework will also provide enabling technology for the design, operation, and optimisation of the next-generation nuclear reactors, and associated reprocessing, as well as patient-specific therapies for diseases such as acute compartment syndrome.

Our goal is to create a world-class Centre for Doctoral Training (CDT) in fluid dynamics. The CDT will be a partnership between the Departments of Aeronautics, Bioengineering, Chemical Engineering, Civil Engineering, Earth Science and Engineering, Mathematics, and Mechanical Engineering. The CDT's uniqueness stems from training students in a broad, cross-disciplinary range of areas, supporting three key pillars where Imperial is leading internationally and in the UK: aerodynamics, micro-flows, and fluid-surface interactions, with emphasis on multi-scale physics and on connections among them, allowing the students to understand the commonalities underlying disparate phenomena and to exploit them in their research on emerging and novel technologies. The CDT's training will integrate theoretical, experimental and computational approaches as well as mathematical and modelling skills and will engage with a wide range of industrial partners who will contribute to the training, the research and the outreach. A central aspect of the training will focus on the different phenomena and techniques across scales and their inter-relations. Aerodynamics and fluid dynamics are CDT priority areas classified as "Maintain" in the Shaping Capabilities landscape. They are of key importance to the UK economy (see 'Impact Summary in the Je-S form') and there currently is a high demand for, but a real dearth of, doctoral-level researchers with sufficient fundamental understanding of the multi-scale nature of fluid flows, and with numerical, experimental, and professional skills that can immediately be used within various industrial settings. Our CDT will address these urgent training needs through a broad exposure to the multi-faceted nature of the aerodynamics and fluid mechanics disciplines; formal training in research methodology; close interaction with industry; training in transferable skills; a tight management structure (with an external advisory board, and quality-assurance procedures based on a monitoring framework and performance indicators); and public engagement activities. The proposed CDT aligns perfectly with Imperial's research strategy and vision and has its full support. The CDT will leverage the research excellence of the 60 participating academics across Imperial, demonstrated by a high proportion of internationally-leading researchers (among whom are 15 FREng, and, 4 FRS), 5*-rated (RAE) departments, and a fluid dynamics research income of 93M pounds sinde 2008 (with about 32% from industry) including a number of EPSRC-funded Programme Grants in fluid dynamics (less than 4 or 5 in the UK) and a number of ERC Advanced Investigator Grants in fluid dynamics (less than about 7 across Europe). The CDT will also leverage our existing world-class training infra-structure, featuring numerous pre-doctoral training programmes, high-performance computing and laboratory facilities, fluid dynamic-specific seminar series, and our outstanding track-record in training doctoral students and in graduate employability. The Faculty of Engineering has also committed to the development of bespoke dedicated space which is important for cohort-building activities, and the establishment of a fluids network to strengthen inter-departmental collaborations for the benefit of the CDT.

Advances in robotics and autonomous systems are changing the way space is explored in ever more fundamental ways. Both human and scientific exploration missions are impacted by these developments. Where human exploration is concerned, robots act as proxy explorers: deploying infrastructure for human arrival, assisting human crews during in-space operations, and managing assets left behind. As humans extend their reach into space, they will increasingly rely on robots enabled by artificial intelligence to handle many support functions and repetitive tasks, allowing crews to apply themselves to problems that call for human cognition and judgment. Where scientific exploration is concerned, robotic spacecraft will continue to go out into Earth orbit and the far reaches of deep space, venturing to remote and hostile worlds, and returning valuable samples and data for scientific analysis. The aim of FAIR-SPACE is to go beyond the-state-of-the-art in robotic sensing and perception, mobility and manipulation, on-board and on-ground autonomous capabilities, and human-robot interaction, to enable space robots to perform more complex tasks on long-duration missions with minimal dependence on ground crew. More intelligent and dexterous robots will be more self-sufficient, being able to detect and respond to anomalies on board autonomously and requiring far less teleoperation. The research will see novel technologies being developed for robotic platforms used in orbit or on planet surfaces, namely: future on-orbit robots tasked with repairing satellites, assembling large space telescopes, manufacturing in space, removal of space junk; and future surface robots, also known as planetary rovers, for surveying, observation, extraction of resources, and deploying infrastructure for human arrival and habitation; a further case study will target human-robot interoperability aboard the International Space Station. The research will merge the best available off-the-shelf hardware and software solutions with trail-blazing innovations and new standards and frameworks, aiming at the development of a constellation of space robotics prototypes and tools. This aims to accelerate the prototyping of autonomous systems in a scalable way, where the innovations and methodologies developed can be rapidly spun out for wide adoption in the space sector worldwide. FAIR-SPACE directly addresses two of the priorities in the Industrial Strategy Green Paper: robotics & artificial intelligence and satellite & space technologies. The clear commitment offered by the industrial partners demonstrates the need for establishing a national asset that will help translate academic outputs into innovative products/services. Our impact plan will ensure we can maximise co-working with user organisations, align our work with other programmes (e.g. InnovateUK) and effectively transfer our research outputs and technology to other sectors beyond space such as nuclear, deep mining and offshore energy. FAIR-SPACE will therefore not only help in wealth creation but also help develop a robotics UK community with a leading international profile.