Forecasting emergency demand with open scheduling data
Ingrid Halvorsen, N. Fitzpatrick · Journal of Health Analytics, 2025
Research centre · Science & Environment
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.
Lead: Prof. Ingrid Halvorsen 24 members Founded 2016
Current projects
- Demand forecasting for regional hospitals
- Open transport data pipeline
- Fairness audits for admissions models
Students join projects through dissertations and doctoral places; partners through the contact form.
Publications
A fairness audit protocol for admissions models
Ingrid Halvorsen, D. Whitfield · Applied Data Review, 2024