10:00 - 12:00
The Food Standards Agency publishes food outlet data online for all local authorities across England. Join NIHR-funded researchers as we reveal how complete and accurate these data are; how we’ve been working to preserve these data and to make them even more useful; and to discuss what’s next, including how we can help make the data work better for you.
Heather Brown (Senior Lecturer Health Economics), Population Health Sciences Institute, Newcastle University
Heather will be discussing our field validation work in Gateshead and Northumberland and what this means for future evaluation work. She will also be discussing a preliminary evaluation of Newcastle’s planning guidance to promote a healthy environment.
Claire Batey (Policy and Business Communications Business Partner), Newcastle City Council
Claire Works on Health and Wellbeing policy and primarily on Healthy Cities. Claire will be discussing why is it important to be able to evaluate the food environment.
Tom and Tom will be presenting their work developing methods to cache large volumes of local authority food outlet data, and for automatic classification of takeaway outlets by cuisine type.
Who should attend?
This workshop is designed for policymakers, and those working in planning, public health and environmental health in local and national government, including Public Health England (regional and national).
10:00-10:30: Presentation by Heather Brown (Newcastle University), “Field validity and spatial accuracy of the Food Standard Agency Food Hygiene Rating data and a preliminary evaluation of the Newcastle Supplementary Planning Guidance”
10:30-11:00: Presentation by Tom Burgoine & Tom Bishop (University of Cambridge), “Automatic classification of takeaway food outlet cuisine type using computerised methods: a feasibility study”
11:10-11:30: Presentation by Claire Batey (Newcastle City Council)
11:30-11:50: Roundtable discussions
- How might these data be useful for you? e.g. agenda setting, monitoring, evaluation
- What are the limitations of these data?
- How could these data be made more useful? e.g. accessibility, transformation, supplementing with new information, further characterisation