Impact Case Studies

LIDA works with a range of academic and industry partners on diverse projects that vary greatly in length and scope. As a relatively new institution, many of our exciting, challenging projects are ongoing, but some are already demonstrating impact in both the wider world and within academia.

Below is a selection of stories demonstrating the diversity of our research output over the past three years across Health and Societies (some feature in both sections due to the overlapping nature of the work). To view all research projects

See all research projects

Local Data Spaces

Healthy Choices, Healthy Lives

Children’s Urgent Care Provided in the Right Place Every Time

Isolation and Exclusion in a Social Distancing Covid World

AuguR: a scalable open-source interactive cancer analytics web application

Bradford’s mental ill health epidemic

Building and analysing cohorts within the OMOP common data model

Spatial analysis of the COVID-19 pandemic in Bradford Metropolitan District

Models of readmission to intensive care units perform poorly

Low birthweight and ethnicity in the Bradford Better Start area

Classification of primary brain tumours based on their predicted response

General Practice registers and ONS population estimates for Leeds differ

Developing an algorithm for cryptic splice variants in whole exome datasets

Synthetic Population Estimation and Scenario Projection

Healthy Choices, Healthy Lives

New insights into workplace and retail dynamics for England and Wales

Isolation and Exclusion in a Social Distancing Covid World

Spatial analysis of the COVID-19 pandemic in Bradford Metropolitan District

Low birthweight and ethnicity in the Bradford Better Start area

General Practice registers and ONS population estimates for Leeds differ

Real-time Crowd Simulation Under Uncertainty using an Agent-Based Model

Can robots learn to drive like humans?

Interpreting Spatial Flow Data; Visualization and Insight

Detection of functional commuting zones with complex networks

Translation Difficulty Estimation

Synthetic Population Estimation and Scenario Projection

Data Assimilation on probabilistic Agent-Based Models

Forecasting the future of Policing

Health

AI can identify heart disease from an eye scan

Local Data Spaces

Healthy Choices, Healthy Lives

Children’s Urgent Care Provided in the Right Place Every Time

Isolation and Exclusion in a Social Distancing Covid World

AuguR: a scalable open-source interactive cancer analytics web application

Bradford’s mental ill health epidemic

Building and analysing cohorts within the OMOP common data model

Spatial analysis of the COVID-19 pandemic in Bradford Metropolitan District

Models of readmission to intensive care units perform poorly

Low birthweight and ethnicity in the Bradford Better Start area

Classification of primary brain tumours based on their predicted response

General Practice registers and ONS population estimates for Leeds differ

Developing an algorithm for cryptic splice variants in whole exome datasets

Synthetic Population Estimation and Scenario Projection

Societies

Healthy Choices, Healthy Lives

New insights into workplace and retail dynamics for England and Wales

Isolation and Exclusion in a Social Distancing Covid World

Spatial analysis of the COVID-19 pandemic in Bradford Metropolitan District

Low birthweight and ethnicity in the Bradford Better Start area

General Practice registers and ONS population estimates for Leeds differ

Real-time Crowd Simulation Under Uncertainty using an Agent-Based Model

Can robots learn to drive like humans?

Interpreting Spatial Flow Data; Visualization and Insight

Detection of functional commuting zones with complex networks

Translation Difficulty Estimation

Synthetic Population Estimation and Scenario Projection

Data Assimilation on probabilistic Agent-Based Models

Forecasting the future of Policing

Environment