There are strong economic and ethical arguments to improve inclusion across engineering and the physical sciences. As it is known that scientific potential does not segregate according to socially constructed lines of identity, and that diversity improves the quality of problem-solving and decision-making, the persistent low levels of diversity at the top of EPS subjects represents a severe loss of research output quality. The project In the two-year grant period eBase will define and create the trajectories that enable an individual's participation in larger strategic and centre grants. eBase employs innovative, evidence-based, "system-level" methods that leverage diversity to transform our approach. It represents a wholesale move from the entrenched current culture that will both accelerate the pace of change and up-scale our capabilities, resulting in an overall improvement in the quality of our science and our working experience. eBase is a cross-institution project and will operate as a "boundary" organisation: where its own research, analysis, and interventions, co-created by internal and external partners, will be integrated with knowledge from other initiatives to generate maximum value from the project. It will disseminate the research outputs to wide-ranging stakeholders including the learned societies and industry. Motivation The rationale for our approach is as follows: i) eye-wateringly few EPSRC large grants (>2.5M) are led by female or BME scientists, and to date, these extreme discrepancies have not been fully recognised or challenged; ii) the current system skews access to the significant financial rewards and kudos that large grants bring to recipients and their institutions; iii) focussing on this discrete problem will allow us to gain significant traction on driving institutional change within the two year grant term; iv) this emblematic high-level problem reports the effects of multiple constraints in the system, thus while being focussed, our study will reveal generic malfunctions that have wide-ranging inclusion implications for our institution and beyond. Team The eBase team is strongly interdisciplinary pulling together experts in gender and BME studies, systems theory, engineering and the physical sciences, human resources, academic development and policy reform. Our project will roll out three connected strands of work: research, innovation and dissemination. The research component will comprise an unbiased systems-based ethnographic study to identify structural and cultural features that restrict the path to big grant leadership, and to develop better integrated mechanisms to translate and embed our recommendations. The concurrent innovation strand will begin the institutional reform required to improve inclusion governance across the University. We will take a strictly evidence-based approach to inform our strategy for change that aims to facilitate implementation of our research findings. Dissemination of resources will include a peer-reviewed publication, reports, on-line recommendation documentation, and on-line training. The project will be outward facing and will work directly with other HEIs, companies, government scientist networks, UKRI, learned societies, the KTN network, regional and national governments. These external connections are vital as they provide a route to discover new examples of best-practice, to broadly disseminate our findings and to obtain critical feedback. A principal goal of our project will be to engage the wider community in our ambition to move beyond current practices toward a more evidence-based analytical approach that will deepen our understanding of the barriers to inclusion and open innovative support paths to effect change.

DATA-CENTRIC will fundamentally transform modern computational engineering through the development of algorithms that are accountable. This means algorithms capable of quantifying the uncertainty arising from computation itself, delivering simulations that are more transparent, traceable and at the same time more efficient. Crucial decisions in science, engineering, healthcare and public policy rely on established methodologies such as the Finite Element Method and the Stochastic Finite Element Method. However, the models that inform such decisions suffer from an inevitable loss of accuracy due to, and not limited to the following sources of uncertainty: a) time and cost constraints of running modern high-fidelity computer models, b) simplifying approximations necessary to translate mathematical models into computational models, and c) limited numerical precision inherent to any computer system. Therefore, there is a continuous risk of relying on unverified computational evidence, and the path from modelling to decision-making can be (inadvertently or unwillingly) obscured by the lack of accountability. DATA-CENTIC will solve this problem through Probabilistic Numerics, a framework that will enable decision-makers to monitor, diagnose and control the quality of computer simulations. Probabilistic Numerics treats computation as a statistical problem, thus enriching computation with a probabilistic measure of numerical error. This idea is gathering momentum, especially in the UK. However, theoretical development are still in their early stages and except for a few examples, it has not been applied to solve large-scale industrial problems. Consequently, it has not yet been adopted by industry. DATA-CENTRIC will bridge this gap. . The proposed approach will provide radically new insights into the Finite Element Method and the Stochastic Finite Element Method. In particular, it will produce new solutions to industrial problems in Biomechanics and Robust Design. This has the potential of transforming personalised medicine and high-value manufacturing and will open the door to new industrial applications.

DATA-CENTRIC will fundamentally transform modern computational engineering through the development of algorithms that are accountable. This means algorithms capable of quantifying the uncertainty arising from computation itself, delivering simulations that are more transparent, traceable and at the same time more efficient. Crucial decisions in science, engineering, healthcare and public policy rely on established methodologies such as the Finite Element Method and the Stochastic Finite Element Method. However, the models that inform such decisions suffer from an inevitable loss of accuracy due to, and not limited to the following sources of uncertainty: a) time and cost constraints of running modern high-fidelity computer models, b) simplifying approximations necessary to translate mathematical models into computational models, and c) limited numerical precision inherent to any computer system. Therefore, there is a continuous risk of relying on unverified computational evidence, and the path from modelling to decision-making can be (inadvertently or unwillingly) obscured by the lack of accountability. DATA-CENTIC will solve this problem through Probabilistic Numerics, a framework that will enable decision-makers to monitor, diagnose and control the quality of computer simulations. Probabilistic Numerics treats computation as a statistical problem, thus enriching computation with a probabilistic measure of numerical error. This idea is gathering momentum, especially in the UK. However, theoretical development are still in their early stages and except for a few examples, it has not been applied to solve large-scale industrial problems. Consequently, it has not yet been adopted by industry. DATA-CENTRIC will bridge this gap. . The proposed approach will provide radically new insights into the Finite Element Method and the Stochastic Finite Element Method. In particular, it will produce new solutions to industrial problems in Biomechanics and Robust Design. This has the potential of transforming personalised medicine and high-value manufacturing and will open the door to new industrial applications.

Current sound design does not have a spatial component: architects design buildings or public spaces so that the same sound is either everywhere or nowhere. We count on headphones for getting personal, high quality soundscapes, even in augmented/virtual/mixed reality applications. Our society, however, manages light differently: a theatre director can populate a scene with focused or diffused light, a spotlight that follows a character, alternation of light and shadows. This is possible because centuries of optical science have given us tools that can shape light beams: we call the simplest lenses, but these can be assembled to form telescopes, microscopes etc. Adding a 3D holographic image of a crown on a £5 note is now as easy as getting good fish and chips in Brighton. The difference between sound and light design is even more apparent in television/computer displays: we use special materials (liquid crystals) to compose lights of different nature, shaping them in what we perceive as 3D landscapes, even one for each observer. Conversely, there is no such a thing as a 3D display for acoustics, and this is probably the main reason why immersive experiences and videogames are mainly designed for visual feedback. Medical and industrial applications, which are based on transducer arrays, often require costly and bulky electronics and are difficult to scale up. Designers simply don't have the right tools. In this fellowship, I will exploit my research on meta-materials (i.e., materials designed and engineered to have acoustic properties not present in nature) to create these tools. If my research is successful, at the end of the 3 years we will have very thin DIY acoustic lenses that can be assembled in acoustic "telescopes" and "microscope" objectives, but also speakers that deliver personalised messages to passing users (like in the movie "Minority Report"). We will have windows that let the air through, but not the noise of the air-conditioning unit. We will have a new type of VR/AR environments, incorporating localised music and long-range haptics (like in "Iron Man"), available to the UK creative industries for early adoption. We will have diagnostic and therapeutic applications based on ultrasound with a simple 3D printer. To achieve this result, I will partner with selected industrial stakeholders (in UK and abroad), through workshops and short feasibility studies, to explore what lies beyond our everyday acoustics and how this can be applied to the benefit of UK companies. I will even build devices that have no optical counterpart, but that can manipulate sound with a precision beyond our perception. And you will able to see them in action, because I will be active in public engagement to facilitate their uptake. At the end of the three years, we will have a new way of designing, thinking and experience sound. We will have on sound the same control we now have on light.

SUSTAIN is an ambitious collaborative research project led by the National Steel Innovation Centre at Swansea University to transform the productivity, product diversity and environmental performance of the steel supply chain in the UK. Working with Warwick Manufacturing Group and the University of Sheffield, the SUSTAIN Manufacturing Hub will lead grand challenge research projects of carbon neutral steel and ironmaking and smart steel processing. Carbon neutral steel making will explore how we can transition the industry from using coal as its primary energy source to a mix of waste materials, renewable energy and hydrogen. Smart steel processing will examine how digital technology and sensors can be used to increase productivity and also explore how a transformation in the way in which steel is processed can add significant value and create new markets, in particular construction, whilst expanding the opportunities afforded by advanced steel products in the electrification of vehicular transport. The UK steel businesses cover different market sectors and are all engaged in this project committing >£13M in supporting funds. Tata Steel lead work on strip steel products used in automotive (inc electrical steels for generators and motors construction) and packaging applications. British Steel produce long products for key sectors such as rail transport and construction. Liberty Specialty produce unique steels for sectors such as aerospace and nuclear power, Sheffield Forgemasters manufacture products for power generation, defence and civil nuclear industries, and Celsa make section steels and reinforcement primarily for construction. This represents a key element of advanced materials that underpin a large proportion of the UK manufacturing sector. The increasing diversity and lower carbon intensity of UK made steel products together with greater productivity and efficiency will thus benefit the whole of UK manufacturing and create opportunities for manufacturing to make inroads into traditional areas for example by driving offsite manufactured construction alternatives to traditional low skill labour intensive routes. Steel is the world's most used and recyclable advanced material and this project aims to transform the way it is made. This includes approaches both to use and re-use it and harness opportunities to turn any waste product into a value added element for another industry. To illustrate, a steel plant produces enough waste heat to power around 300,000 homes. New materials can trap this heat allowing it to be transported to homes and offices and be used when required without the need for pipes. This then makes the manufacturing site an embedded component of the community and is clearly a model applicable to any other high energy manufacturing operation in other sectors. We will at each stage explore how our discoveries in transforming steel can be mapped onto other key foundation materials sectors such as glass, petrochemicals and cement. Implementation of the research findings will be facilitated via SUSTAIN's network of innovation spokes ensuring that high quality research translates to highly profitable and competitive processes.