The general project aims are: - Promote careers in space science and engineering to KS3 & KS4 students aged 11-16 with a particular focus on 15 year olds who are making choices about A levels; - To teach students about ongoing activities in the exploration of Mars and about the Mars surface environment; - To launch up to 200 unique student made Mars experiments to an altitude with conditions analogous to that at the Martian surface (30km altitude) and get them to analyse the results; - To publicly promote the launch and project aftermath to further spread the message, and to lay the foundations for a recurring national program. The expected overall impact includes: - Communicating the benefits of space science and engineering careers directly to students via the distributed material to encourage uptake of maths and science A-levels; - Engaging students with the concept of Mars science and exploration by tasking them to design experiments that will test the response of materials to a Mars like environment, or investigate the conditions found there; - Engaging students with the daily activities of space scientists and engineers to get them to consider a similar career; - Engaging with teachers on Mars planetary science and the potential careers paths for their students who are interested in science and engineering; - Engaging with the public on current UK Mars exploration activities.

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.

Our mission is to train the next generations of innovators in responsible, data-driven and knowledge-intensive human-in-the-loop AI systems. Our innovative, cohort-based training programme will deliver cohorts of highly trained PhD graduates with the skills to design and implement complex interactive AI pipelines solving societally important problems in responsible ways. While fully autonomous artificial intelligence dominates today's headlines in the form of self-driving cars and human-level game play, the key AI challenges of tomorrow are posed by the need for interactive knowledge-intensive systems in which the human plays an essential role, be it as an end-user providing relevant case-specific knowledge or interrogating the system, an operator requiring crucial information to be presented in an intelligible form, a supervisor requiring confirmation that the system's performance remains within acceptable limits, or a regulator assessing to what extent the system operates according to exacting standards concerning transparency, accountability and fairness. Each of these examples demonstrates a need for specific and meaningful interaction between the AI system and human(s). The examples also demonstrate the importance of knowledge for achieving human-level interaction, in addition to the data driving the machine learning aspect of the system. In close conversation with our industry partners we thus identified Interactive Artificial Intelligence (IAI) as a core sub-discipline of AI where the need for and deficit in advanced AI skills is abundantly evident while being homogeneous enough to have intellectual integrity and be taught and researched within the context of a single CDT. The most important aspects of the training programme are: - Knowledge-Driven AI and Data-Driven AI are core components treated in a close symbiotic relationship: the former uses knowledge in processes such as reasoning, argumentation and dialogue, but in such a way that data is treated as a first-class citizen; the latter starts from data but emphasises knowledge-intensive forms of machine learning such as relational learning which take knowledge as an additional input. - Human-AI Interaction is another core component addressing all human-in-the-loop aspects, overseen by a co-investigator from the human-computer interaction field. - Responsible AI is underpinning not just the taught first year but the students' doctoral training throughout all four years, overseen by two dedicated co-investigators with backgrounds in IT law and industrial codes of practice. Other skill requirements from stakeholders include: the ability to design and implement complete end-to-end systems; acquiring depth in some AI-related subjects without sacrificing breadth; the ability to work in teams of people with diverse skill sets; and being able to take on a role as "AI ambassadors" who are able to inspire but also to manage expectations through their in-depth understanding of the strengths and weaknesses of different AI techniques. The IAI training programme is designed to achieve this by strongly emphasising cohort-based training. Students will develop their projects and coursework within an innovative software environment which means easy integration of their work with that of others. This virtual hub is complemented by a physical hub where all cohorts are colocated -- together both hubs will strongly promote interaction both within and between cohorts: e.g., projects can aim at improving or extending software produced by the previous cohort, so that senior students can be involved in mentoring their juniors. In summary, the IAI training programme pulls together Bristol's unique and comprehensive strengths in doctoral training and AI to deliver highly trained AI innovators, equipping them with essential skills to deliver the interactive AI technology society requires to deal with current and future challenges.

The Communications sector is a vital component within the UK economy, with revenues in this area totalling around 129B. Recognised as a key enabler of telecommunications, broadcasting and ICT, communications is also poised to be a transformational technology in areas such as energy, the environment, health and transport. The UK is well placed to reap the full economic and social benefits enabled by communications and investment in a CDT, embracing the breath and reach of the discipline, will help to facilitate our economic recovery and growth and enhance our global standing.There is a serious and growing concern over the future availability of suitably skilled staff to work in the communications sector in the UK. International competition is fierce, with large investments being made by competitor countries in research and in the training of personnel. IT and telecoms companies in the UK are reporting difficulties in attracting candidates with the right skills. In this context, the National Microelectronics Institute and the IET have warned that the ICT sector is facing a growing recruitment crisis with little confidence that the problem will improve in the short or medium term. Various organisations (eg DC-KTN and Royal Academy of Engineering) with support from industry are addressing this issue but acknowledge that it cannot be achieved without relevant high quality under- and postgraduate degrees through which specialist skills can be obtained.To address this shortage, a new Centre for Doctoral Training (CDT) in 'Future Communication' is proposed. The University of Bristol has a world leading reputation in this field, focused on its Centre for Communications Research (CCR), but built on close collaboration between colleagues from Mathematics, Computer Science, Safety Systems and industry. Our vision is to establish a world-leading research partnership which is focused on demand and firmly footed in a commercial context, but with freedom to conduct academically lead blue skies research.The Bristol CDT will be focused on people: not just as research providers, but also as technology consumers and, importantly, as solutions to the UK skills shortage. It will develop the skilled entrepreneurial engineers of the future, provide a coherent advanced training network for the communications community that will be recognised internationally and produce innovative solutions to key emerging research challenges. Over the next eight years, the CDT will build on Bristol's core expertise in Efficient Systems and Enabling Technologies to engineer novel solutions, offering enhanced performance, lower cost and reduced environmental impact. The taught component of the Programme will build on our MSc programme in Communication Systems & Signal Processing, acknowledged as leading in the UK, complemented by additional advanced material in statistics, optimisation and Human-Computer Interaction. This approach will leverage existing commitment and teaching expertise. Enterprise will form a core part of the programme, including: Project Management, Entrepreneurship, Public Communication, Marketing and Research Methods. Through its research programme and some 50 new PhD students, the CDT will undertake fundamental work in communication theory, optimisation and reliability. This will be guided by the commercial imperatives from our industry partners, and motivated by application drivers in Smart Grid, transport, healthcare, military/homeland security, safety critical systems and multimedia delivery. While communications technology is the enabler it is humans that are the consumers, users and beneficiaries in terms of its broader applications. In this respect we will focus our research programme on the challenges within and interactions between the key domains of People, Power and Performance.

The vision of this project is to optimise the exploitation of space borne resources in future heterogeneous wireless comms systems by accelerating the deployment of new and higher mm-wave frequency bands for high data rate gateway links between satellite platforms and the terrestrial communication infrastructure. This will be achieved by virtue of a pioneering study that brings together expertise on wireless and satellite communication systems, mm-wave electronics and antennas, atmospheric propagation and digital channel modelling and characterisation. The urgent priority for new mm-wave bands in emerging sitcom systems is evidenced by ESA's TDP#5 mission involving a Q-band (38 GHz) beacon on board the ALPHASAT satellite, which provides a unique opportunity to experimentally characterise atmospheric fading at this frequency. Our world-leading consortium has exclusive access to all three UK-based receive ground stations for this mission as well as exclusive access to meteorological (incl. rain radar) and radiometric data at zero cost to the project.