Applied data science
The applied data science team uses data to uncover the patterns, causes, and effects of health and disease conditions, and how these link to health services, using the best techniques to increase the reliability of their findings.
Theme lead: Professor Yoav Ben-Shlomo
Team members
Dr Emily Eyles
Senior Research Associate, Quantitative Research
Dr Jessica Watson
GP and Doctoral Research Fellow
Dr Martha Elwenspoek
Research Fellow in Test Evaluation
Dr Rachel Perry
Senior Research Associate in Evidence Synthesis
Dr Rebecca Wilson
Senior Research Associate in Quantitative Research and Evidence Synthesis
Hannah Edwards
Senior Research Associate, Quantitative Research
Jialan Hong
Research Associate in Data and Quantitative Research
Joni Jackson
Senior Research Associate, Quantitative Research
Lauren Scott
Senior Research Associate, Quantitative Research/Evidence Synthesis
Professor Frank de Vocht
Applied Data Sciences Team Co-lead
Professor John Macleod
Professor in Clinical Epidemiology and Primary Care
Professor Kate Tilling
Applied data science workstream lead
Professor Tim Peters
Applied data science workstream lead
Professor Yoav Ben-Shlomo
Cross-cutting Methodological Theme LeadProjects
PASSPORT: Creating a school-specific physical activity portfolio
Research themes:
- Public health and prevention
Research teams:
- Applied data science
Rethinking children’s physical activity interventions at school: A new context-specific approach
Read the paperImproving review appointments for people with long-term conditions
Research themes:
- Integrated and optimal care
Research teams:
- Applied data science
- Behavioural and qualitative science
- Health economics
A proposal to embed patient and public involvement within qualitative data collection and analysis phases of a primary care based implementation study
Read the paper“Safety in numbers”: Have e-scooter schemes made roads safer for cyclists?
Research themes:
- Public health and prevention
Research teams:
- Applied data science
Risk of bicycle collisions and ‘safety in numbers’: a natural experiment using the local introduction of e-scooters in England
Read the paperDeveloping the South West Secure Data Environment (SDE)
Research themes:
- Health informatics
Research teams:
- Applied data science
- Communications
- Patient and public involvement
Identifying ‘low value’ operations that the NHS could reduce or stop
Research themes:
- Health informatics
- Integrated and optimal care
Research teams:
- Applied data science
- Evidence
- Health economics
Identifying potentially low value surgical care: A national ecological study in England
Read the paperEvaluating the use of non-GP health professionals in primary care
Research themes:
- COVID
- Integrated and optimal care
Research teams:
- Applied data science
- Behavioural and qualitative science
Additional Roles Reimbursement Scheme uptake, patient satisfaction, and QOF achievement: an ecological study from 2020–2023
Read the paper