LIDA has run a number of well attended, successful events and workshops to increase collaboration across the university in a range of data science related areas. Our approach has been to develop and expand LIDA’s Research and Innovation Programmes and Communities. These continue to bring together researchers from a range of disciplines and prioritise research funding e.g. recent EPSRC AI calls, along with knowledge exchange (seminar series), partnerships development (e.g. strategic partnership with Asda) and capacity building (e.g. British Antarctic Survey Hackathon).
Over 100 people have joined the LIDA Communities and Programmes, many joining more than one. Current memberships of each Community and Programme are: Health (53), Societies (54), Environment (50), Statistical Data Science (75), Artificial Intelligence (66), Immersive Technologies (31), and Data Science Infrastructures (41).
LIDA has run a number of well attended, successful events and workshops to increase collaboration across the university in a range of data science related areas
Over the past year, LIDA supported a research portfolio of 68 projects worth £90m. During this period, we contributed to the award of 9 research grants totalling almost £ 18m and a further 14 grant applications (value of £10m) awaiting results. All research grant applications that LIDA supported ranged across our expertise in Health, Societies and Environment for various funders, with a wealth of different partners across the public, private and third sectors.
9 grants were awarded in this period totalling £17.6m, some of the projects included...
BRC (£13m) - The National Institute for Health & Care Research Leeds Biomedical Research Centre (NIHR Leeds BRC) is an infrastructure award to the Leeds Teaching Hospital NHS Trust in partnership with the University of Leeds and the University of York. The NIHR Leeds BRC has been funded to address the urgent clinical challenges of an ageing population and the reality that patients do not live with just one disease but multiple conditions with a vision to improve health and wellbeing by accelerating diagnosis, enabling early treatment that is personalised for each patient and, where possible, prevent disease and infection.
Health Outcomes in Haematological Conditions (£745k) - Health related quality of life and resource needs of survivors of leukaemia and life-threatening haematological disorders in young people (working acronym is currently LIFE). The project is part of the wider CHORAL research programme: CHORAL – Child Health Outcomes Research at Leeds with the research funding from Leeds Hospitals Charity. The principal investigators are Professor Adam Glaser and Professor Richard Feltbower. The aim of the project is to increase understanding of the late consequences of survival of life-threatening haematological conditions of childhood. This work will inform the development of local, regional and national health care delivery programmes.
DynAIRx (£850k) - aims to develop new, easy to use, AI and data visualization tools that help GPs & pharmacists treat patients who are living with multiple long-term health conditions. The project is a collaboration between mathematicians, computer scientists and clinicians at the Universities of Leeds, Liverpool, Manchester and Glasgow, and three NHS organisations. DynAIRx is funded by the National Institute for Health Research (NIHR). The Leeds investigators are Professor Roy Ruddle, Dr Sam Relton and Professor Andy Clegg.
Making visualization scalable for explaining machine learning classification models (£570k) - The MAVIS project has been funded by the EPSRC “Enabling human centred decision making through data visualisation” call, and aims to develop and evaluate new techniques that will enable visualization to scale to the large/complex data that is commonplace in explainable AI. The team is very cross-disciplinary, drawing together experts from four schools. The investigators are Professor Roy Ruddle (Computing), Dr Nishant Ravikumar (Computing), Dr Mahdi Rezaei (Transport Studies), Leonid Bogachev (Statistics) and Arjun Khara (Design).
More research projects can be found under the Research Communities and Programmes.