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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Understanding genetic risk and the pathogenesis of Covid-19 through polygenic risk scores

New work looking at genetic risk and the links with inflammatory disease and COVID-19 will not only help predict those patients at more severe risk of Covid, but also provide a pathway for use in different clinical settings to improve patient care and ultimately save and extend lives. The first part of the work, looking at...

Improving ovarian cancer care through AI

A team of research fellows led by Professor Geoff Hall is developing AI tools to support ovarian cancer research in Leeds. The work aims to deliver the best possible care for ovarian cancer patients and is made possible thanks to a generous donation from Yorkshire businessman, Tony Bramall and his family, in memory of his daughter...

Multi-disease pathways

With improved care and treatment, more individuals are living longer after their heart attack. Unfortunately this means that the chance of developing other conditions over time after a heart attack has increased. Research to look at disease trajectories in these patients, to help prevent or interrupt fatal disease pathways is...

Farmer schemes to improve and maintain the environment

Uptake of schemes encouraging farmers to help improve and maintain the environment varies across England, the main factors influencing uptake are having previous experience and how many hectares are farmed. Project overview Most investigations into policy adoption by farmers rely on questionnaires and...

Dashboard created using R Shiny to investigate insights on a proposed motorbike ban in Hanoi

This project developed a dashboard using R Shiny in order to investigate insights regarding a proposed motorbike ban in Hanoi. The dashboard will be used as a tool to import findings of the Hanoi travel survey from 26,000 households from the wider research team, so that they can be communicated to the policy makers in...

WatPop: Inferring dwelling occupancy patterns and identifying tourist dwellings using high temporal resolution water metering data

Dwelling-level water consumption data are a useful tool to identify tourist dwellings and to infer their occupancy patterns, with tremendous potential as a timely indicator of tourism activity Project overview This 6-month research project is linked to a larger ongoing research project...

The Impact of COVID-19 on Cancer Referrals

This study investigated the geodemographic attributes of patients most affected by the drop in the urgent cancer referrals pathway during the pandemic. The COVID-19 pandemic had a detrimental impact on a wide range of healthcare delivery [1]. This included urgent cancer referrals which dropped by approximately...

Open access data for transport research: tools, modelling and simulation (OpenInfra) 

OpenStreetMap data has the potential to transform how transport infrastructure planning is done, yet currently its application for (accessible) active travel infrastructure planning is restricted due to the lack of more refined information about highway attributes. Project overview Dependence...

Transport behaviours and attitudes towards potential Hanoi motorbike ban 2030

Introduction Why is it that in a Megacity with 8 million people, 90% of the vehicles driven are motorbikes? What are the underlying factors influencing individuals’ travel behaviors and attitudes towards a proposed motorbike ban? What would be the impact of such a ban on the flows associated with other...

Comprehensive Spatial Modelling of the North (CoSMoNorth)

The CoSMoNorth project was introduced to build and calibrate a baseline urban simulation (or ‘digital twin’) of mobility and activity of the Northern Powerhouse region for further model development (i.e., new transport services), exploration and...