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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Leeds Academic Health Partnership

Leeds Academic Health Partnership brings together leading expertise from all of Leeds’ NHS organisations and three of the city’s universities. The Partnership, one of the biggest of its kind in the UK, identifies, attracts and implements innovation and inward investment...

Application of natural language processing for identification of online hate on Twitter

Introduction Understanding hate crime is a priority for police forces across England and Wales. Since the EU referendum in June 2016, there has been a renewed emphasis on the importance of preventing hate crime and providing support for victims. The Home Office reported an increase of 29% in the number...

Data with the power to improve cancer care

The UK statistics on bowel cancer are clear. It is the fourth most common cancer in the UK, with over 41,000 new cases each year. Just under 16,000 people die each year from the disease, making it the second most common cause of cancer death. But behind these numbers lies another story – that diagnosis,...

Virtual Reality at Leeds

  Immersive technologies - including virtual, augmented and mixed reality - are radically changing the way we use technology. The University of Leeds is at the forefront of research in this area,...

Using population data to inform infrastructure investment

  So many of the services that we all take for granted – water, digital connectivity, transport, or energy – require  huge amounts of planning to get right. Because the systems underpinning these services are so complex, the business of making decisions about where to focus investment requires sophisticated...

HABITS

    The purpose of HABITS is to design improved policy to mitigate pollutant and inactivity related health burdens through new big data opportunities. Researchers at the University of Leeds will be working in partnership with Newcastle City Council to explore the potential...

Catch! – real time simulation of daily travel patterns

Introduction  The proliferation of smartphone ownership and app usage has enabled new forms of data collection about how people use transportation. Currently, data is collected via transport surveys which have small sample sizes, are time-consuming and often inaccurate. Smartphone technology has the...

Large-scale evolutionary analysis of the transcriptome of poison arrow frogs

Introduction The transcriptome (the sum total of all the messenger RNA molecules expressed from the genes of an organism) of poison arrow frogs has not been studied before. There are nocturnal and diurnal species of poison arrow frog, that differ greatly in appearance (Figure 1) making them an ideal...

Investigating factors behind low or zero household recycling rates in Leeds

Introduction There are large differences in the rates of household bin use in different parts of Leeds with a high level of contamination being seen in some areas. Assumed contributing factors include differences in housing infrastructure, transient populations including students in some areas and...

Dynamic data assimilation in agent-based models

Introduction Agent-based models (ABMs) play a useful role in social sciences, helping us to understand emergent patterns in social and environmental systems while retaining detail of the individuals. However, their predictive potential is limited, as calibration is often restricted to a one-shot approach....