Centre for Applied Data Science
Statistical and machine-learning methods for public services: transport planning, hospital demand, and school admissions modelling, built with the agencies that use them.
Research
Nine centres, each paired with the agencies, hospitals, and companies that use the work. Project lists are current; publications carry the centre that produced them.
Statistical and machine-learning methods for public services: transport planning, hospital demand, and school admissions modelling, built with the agencies that use them.
Lighter structures, longer-lasting tooling, and recycling routes for composites, working from the foundry and clean room on the Hillfort campus.
Salt-marsh restoration, oyster reef pilots, and the long-term monitoring dataset that underpins the regional shoreline plan.
How care moves through a region: discharge pathways, community nursing capacity, and the scheduling models that keep wards and homes in step.
Wages, training, and the labour market at the regional scale — measured from administrative data and tested against policy pilots.
Casework and research that travel together: the clinic's two hundred annual cases feed directly into reports on housing, asylum support, and access to justice.
Buses, bikes, and the street as a system: sensing pilots and models that city engineers can run themselves.
How people read, learn languages, and lose words — from classroom trials to aphasia therapy, with schools and speech clinics as partners.
Grid-scale storage, tidal array modelling, and the rural connections problem — tested on the energy loop that runs between both campuses.
Centres run contracted research, shared studentships, and equipment access. The fastest route is the contact form marked "research partnership" — it reaches the centre leads directly.