Research projects

LIDA is co-producing research and innovation between the academic, commercial, government and third sector communities. Below are examples of projects conducted by researchers from LIDA and our partners.

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Quanticode: Intelligent infrastructure for quantitative, coded longitudinal data

QuantiCode was funded under the EPSRC Making Sense of Data call to develop data mining and visualization techniques that transform people’s ability to analyse quantitative and coded longitudinal data. Such data are common in many sectors. For example, health data is classified using a hierarchy of hundreds of thousands of...

Evaluation of the Methods and Management of Acute Coronary Events (EMMACE)

Cardiovascular disease is the leading cause of death in the UK and is responsible for over four million deaths per year in Europe. The Evaluation of the Methods and Management of Acute Coronary Events (EMMACE) studies are a suite of prospective cohort studies which are designed to improve our understanding of care and outcomes...

Survivorship and Multimorbidity Epidemiology

  Introduction Led by Dr Marlous Hall – the Survivorship and Multimorbidity Epidemiology...

Classification of primary brain tumours based on their predicted response to standard therapy

Stelios Theophanous, Dr Lucy Stead, Prof David Westhead - The University of Leeds. This work was supported by Wave 1 of The UKRI Strategic Priorities Fund under the EPSRC Grant EP/T001569/1, particularly the “Health” theme within that grant & The Alan Turing Institute Project overview Glioblastoma...

How and why do General Practice registers and ONS population estimates for Leeds differ?

Rizwana Uddin, Dr Nik Lomax, Dr Nick Hood - University of Leeds. This work was supported by Wave 1 of The UKRI Strategic Priorities Fund under the EPSRC Grant EP/T001569/1, particularly the “Digital Twins: Urban Analytics” theme within that grant & The Alan Turing. In 2017, GP Registers for Leeds counted 60,000...

Real-time Crowd Simulation Under Uncertainty using an Agent-Based Model and an Unscented Kalman Filter

Robert Clay, Prof Nick Malleson, Dr Minh Le Kieu, Dr Jon Ward - University of Leeds We wish to apply a novel data assimilation technique (Unscented Kalman Filtering) to our Agent Based Model `StationSim’ to test its efficacy in dealing with the uncertain and aggregated data used in Smart Cities Forecasting. Project...

Can robots learn to drive like humans? Using inverse reinforcement learning to imitate human driving in autonomous vehicles

Dr Kevin Minors, Dr Minh Le Kieu, Prof Alison Heppenstall - University of Leeds, and Dr Ed Manley - University College London   Exploring the effectiveness of inverse reinforcement learning as a method to imitate human driving in autonomous vehicles using a novel dataset. Introduction Autonomous...

Developing an algorithm to identify cryptic splice variants in whole exome datasets

Jodie England, Dr James Poulter, Prof Colin Johnson - University of Leeds. This work was supported by Wave 1 of The UKRI Strategic Priorities Fund under the EPSRC Grant EP/T001569/1, particularly the “Health” theme within that grant & The Alan Turing. A new tool for splice variant identification was applied...

Interpreting Spatial Flow Data; Visualization and Insight

Jodie England, Dr Nik Lomax and Dr Layik Hama - University of Leeds. This work was supported by Wave 1 of The UKRI Strategic Priorities Fund under the EPSRC Grant EP/T001569/1, particularly the “Digital Twins: Urban Analytics” theme within that grant & The Alan Turing. Project Background Big...

Detection of functional commuting zones with complex networks

Ivana Kocánová, Dr Nik Lomax, Prof Nick Malleson - University of Leeds Using the latest research of complex networks, we uncover inherent community structure within the city of Leeds, improving the understanding of the functional structure of the city. Project overview How we structure...