Euclid is an ESA space telescope launching in July 2023, designed to understand the nature of dark energy and dark matter. To achieve this, Euclid will observe over a third of the sky with high resolution imaging and spectroscopy, which will establish “the” reference map of the extra-galactic celestial sphere for decades to come. The giant archive produced will be a goldmine to study the history of the formation and growth of galaxies over the age of the Universe, driving answers to many fundamental science questions on the co evolution of galaxies and supermassive black holes, the interaction between stars, gas, and galactic nuclei in galaxies at cosmic noon, and excelling in the discovery of rare objects including gravitational lenses. However, the richest gold veins are also the most difficult to exploit: the tools developed for Euclid’s primary science will not be enough to open the rich legacy for the astronomical community. We therefore propose ELSA to explore new methodologies and create cutting-edge pipelines, tools and algorithms. Our ambitious goal is to push the boundaries of spectroscopic analysis to the limits, uncovering hidden details of even the faintest and rarest galaxies measured by Euclid. We will leverage state of the art machine learning to efficiently handle the high-dimensional data and reveal the underlying physical processes they encode. This will need dedicated computing resources and highly motivated researchers versed in the most advanced techniques, that will work with our team of leading experts in the field of galaxy evolution to reveal the treasures preserved in the Euclid vault. Our machine learning will be supplemented by citizen science, enormously extending the reach of ELSA’s impact. ELSA will be a forge of knowledge and advanced tools that will not be confined within the boundaries of our teams, but shared with the whole scientific community and beyond to foster new projects and unforeseen discoveries.

Our project aims to reshape the landscape of AI in education, focusing on addressing bias and discrimination in learning analytics systems within Higher Education (UK), and setting up a Responsible AI framework that can serve as guidance to other HE institutions working on their data strategies. At the core of our initiative lies the Open University Analyse Dashboard (OUA), a predictive learning analytics system recognised globally for its impact. We delve into the complexities of algorithmic and human biases that may influence student success, investigating innovative interventions to foster a fair and inclusive learning environment. Our multifaceted approach encompasses five pillars: Fairness, Explainability, Transparency, Accountability, and Social Justice. Through rigorous analysis, we scrutinise the predictive model's performance across diverse student cohorts, examining potential biases based on gender, ethnicity, disability, socio-economic background, and previous qualifications. The goal is clear -- uncover biases and enhance the system's fairness, ensuring that every student receives equitable support. Transparency is a key focus, and we're pioneering a student dashboard that makes predictions visible not only to educators but also to students. Accountability is woven into our approach, investigating how tutors react to predictions and ensuring that interventions are unbiased across student profiles. Beyond the technical aspects, our commitment to Equality, Diversity, and Inclusion (EDI) is embedded in the project's DNA. We recognise the societal inequalities that exist and strive to mitigate biases in predictive learning analytics systems, thereby fostering an inclusive learning environment. The impact of our project extends far beyond the realms of academia. By ensuring fair and unbiased support systems, we aim to reduce awarding gaps, creating a level playing field for all students. Education, in our vision, becomes a catalyst for social justice, where opportunities are not bound by socio-economic factors or demographic characteristics. Through collaboration with regulatory bodies and engagement with the broader education community, we seek to disseminate knowledge, share best practices, and contribute to the ongoing discourse on responsible AI implementation. Our project is not just about algorithms; it's about empowering students, enhancing the educational experience, and creating a ripple effect of positive change in society. As we navigate the intricate intersection of technology and education, our mission is clear -- to create and share knowledge and pave the way for a more inclusive, fair, and transformative educational landscape.

OppAttune tracks the evolution of oppositional extreme ideologies and protectionist decision-making, develops an innovative attunement model and tests a series of interventions at the national and transnational levels which limit the spread of extremism. OppAttune revitalises trust in key democratic institutions. Its actions involve an on-line I-Attune self-test interactive to build democratic capacity across diverse publics. OppAttune will create an OppAttune Summer Academy for students and researchers (2025) and an OppAttune Winter Academy for practitioners and policymakers (2026). OppAttune provides micro, meso and macro level evidence-based recommendations and strategies designed to counter the potential of extreme narratives to disrupt democratic growth. It delivers this via a multi disciplinary consortium of 17 countries across the EU and its periphery. Democracies and the European project are under threat by extremism and lack of political and social dialogue. Existential insecurities arising out of economic and refugee-related crises have been exacerbated by Covid-19 to create re-bordering e.g., xenophobic-nationalism and re-shoring e.g., the localisation of production. Oppositional worldviews, narratives and dissensus within public debate are all vital to a functioning democracy. However destructive polarisation of oppositional us/them logic is at the core of the rise of extremist narratives. Disruptive actors polarise oppositional logic using disinformation, emotions, hot cognitions, conspiracy theories and mistrust to create new forms of direct action. This direct action is understood to many as direct democracy. This direct action cultivates unlikely coalitions creating attractive alternative on-line/off-line worlds which spread extreme narratives into the mainstream via deep rooted sociological and historical pathways. OppAttune will track, attune and limit extreme narratives to foreground EU transnational freedoms and multilateralism.

To build service systems that are larger than required, use more energy and are a hidden source of energy wastage. To develop a new, innovative RightSize Design Service to reduce oversizing of building services systems in complex buildings such as NHS hospitals, universities and schools.

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.