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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Extracting actionable insights from free text police data

  Alex Coleman, Daniel Birks, Nick Malleson, Graham Farrell - University of Leeds Can creative writing catch criminals? When a crime occurs large amounts of information are captured within the narrative description of the incident. This data contains useful information that is not fully utilised...

Improving causal inference in real-world data analytics

Causal inference in real-world data is the pinnacle aim of applied data science, unfortunately, it is also the most challenging. New graphic methods - such as causal directed acyclic graphs (DAGs) - promise a revolution in the estimation of causal effects but are relatively unrecognised and untested in applied health and social...

FixMyStreet: Micro-geographies of civic engagement and neighbourhood environmental quality

Professor Alasdair Rae, University of Sheffield This project was funded through the Consumer Data Research Centre Innovation Fund, backed by the ESRC. Developed to drive innovative social science research across a broad range of disciplines...

PigSustain

Aims:   To use a multi-disciplinary, integrated systems approach to model and assess the resilience...

Melanoma and Big Data

Introduction All cancers are different. Some, arise from relatively well-understood changes (or mutations) in a patient’s genetic code. Melanoma, on the other hand, appears very differently in different people, making the task of understanding how the cancer works much harder. By gaining...

Identification of clinical factors associated with poor surgical outcomes in a primary care dataset

Introduction There are 310 million surgeries worldwide per year, there is a 1-5% short-term mortality and 20% post-surgical complications rate. Aims of the study are to statistically infer clinical factors associated with poor surgical outcomes and to overcome the limitations of missing data. Data...

Incentivising more sustainable transport choices using ICT services and smartphone

The problems of an oversaturated transport system and heavy reliance on single-occupancy car as a means of transport are well established. The consequences for the environment, energy demand (particularly where the car uses conventional petrol or diesel fuel) and for health, impact everyone. Many of the measures previously...

Analysis of police-recorded hate crime in Lancashire

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...

An area classification of consumer vulnerability in the UK

Introduction Some consumers are more vulnerable to marketing practices due to their personal traits such as age, health or household arrangements. For this study consumer vulnerability is defined as the risk that a consumer’s mental, physical or financial welfare may be damaged when engaging in a market interaction. While...

Early economic modelling and budget impact analysis of Prolaris® test to aid the treatment management decisions in prostate cancer patients

Introduction To accurately stratify patients with localized prostate cancer according to disease aggressiveness and mortality, Myriad Genetics Inc. developed Prolaris®, a prognostic test that directly measures tumour biology. Although numerous studies indicate that it has prognostic value and may...