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.
Local Data Spaces co-designed a series of 10 reports alongside 25 Local Authorities using secured data held within the ONS Secure Research Service (SRS), extending analysis to all Local Authorities in England. Project overview Local...
This project developed a ‘proof of concept’ community toolkit to visualise food environment accessibility for a deprived community in Bradford, empowering local policymakers and residents to collaborate through evidence-based decision making. Project overview Obesity...
Developing a classification of commercial and employment land use in England and Wales using location and time-series data Project overview Commercial areas and the businesses that inhabit them are not just an important addition to the vitality of urbanised areas but...
Providing health care professionals and hospital managers with interactive analytics for cancer outcomes and waiting time data. Project overview Cancer data such as survival outcomes and waiting times are routinely collected across hospitals. Whilst organisations...
First a mental ill health epidemic, then a pandemic affecting access to mental health services – how have mental health referrals been impacted? Project overview Mental health issues are prevalent...
Where in Bradford has been most vulnerable during the COVID-19 pandemic? Project overview With high levels of deprivation, ill-health, and many other risk factors, Bradford Metropolitan District is recognised as one of the most vulnerable and hardest-hit parts of the country during the...
Low birthweight has been a longstanding issue in Bradford, and a hard one to tackle; the ethnic-specific trends described in this study can help policy makers and practitioners focus prevention efforts appropriately. Project overview Low birthweight has been strongly associated with poor health...
Can machine learning accurately predict the likelihood that children require paediatric treatment in hospital? Project overview ...
Our work has produced a dashboard that identifies geographical areas which might experience increased isolation and exclusion as we leave the Covid-19 pandemic and lockdowns. Project overview ...
Published machine learning and other models do not accurately predict whether patients will be readmitted following discharge from the Intensive Care Unit (ICU) Project overview ...