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 Caroline Skirrow
Senior Research Associate in Quantitative Applied Health Research
Dr Emily Eyles
Senior Research Associate, Quantitative Research
Dr Jessica Watson
GP and Doctoral Research Fellow
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 Yoav Ben-Shlomo
Cross-cutting Methodological Theme LeadProjects
The Bristol Evaluation of Advertising Restrictions (BEAR) study: Findings from the baseline data
Research themes:
- Public health and prevention
Research teams:
- Applied data science
- Behavioural and qualitative science
- Health economics
Assessing exposure to outdoor advertisement for products high in fat, salt and sugar (HFSS); is self-reported exposure a useful exposure metric?
Read the paperIdentifying which children are most at risk of post-concussion syndrome
Research themes:
- Healthier childhoods
Research teams:
- Applied data science
- Evidence
Factors related to adverse long-term outcomes after mild traumatic brain injury in children: a scoping review
Read the paperSupporting younger people with multiple long-term conditions to live well
Research themes:
- Integrated and optimal care
Research teams:
- Applied data science
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 paper