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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Modelling the Joint Effects of Dense Temporal Datasets on Outcomes

This project uses newly constructed functional statistical models to uncover the underlying effects that pollution and lifestyle has on COPD hospital admissions. Project overview Using pollution and gym activity data we aim to uncover the links between these variables and COPD hospital admissions....

Developing simulations of smart cities

Incorporating real-time data into agent-based crowd simulations using dynamic data assimilation   Project overview  We...

Low Carbon Cities: creating a road map for retrofitting the Leeds social housing stock

Our model helps organisations decide on the best retrofit strategy to improve the quality of their housing stock. Project overview Domestic energy use accounts for a quarter of all greenhouse gas emissions produced by the UK. In order to meet the 2050 net zero target, retrofitting the existing...

Can changing school admissions systems improve educational equality in the UK?

Modelling the school admissions system exposes educational inequalities but also highlights ways these can be addressed. Project overview Every September a new cohort of students move from primary to secondary school, however, in Bradford and across the country, many students are not offered a...

Assessing the presence of e-food deserts in the UK

Inequality in access to healthy and affordable food seems to increase when analysing the impact of groceries delivery systems’ availability, especially between remote rural areas and urban areas. Project overview Food deserts are areas where residents might experience physical...

Simulating capability to reduce transport energy emissions and associated social vulnerabilities

Developed a microsimulation at the household and individual level using a Monte Carlo Sampling process in R to analyse travel behaviour and transport demand in England. Project overview There is a policy gap between emitted emissions in the transport sector and targets the government has set –...

The Application of Rasch Measurement Theory to Guide Consumer Product Design

Rasch measurement theory provides an innovative way in which to extract insightful information from consumer data Project overview Procter & Gamble is one of the largest consumer goods companies worldwide – specialising in a range of healthcare, homecare and hygiene products. Consumer research...

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...