AI, data science and public health
Exploring the promise and challenges of AI and data in public health
This work brings together researchers from public health, mathematics, AI and related fields to build connections and bridge disciplinary gaps. We are interested in how these tools can support public health research, policy and practice, while addressing ethical, social and practical questions, including public trust in how data is used.
Activities and resources
Signals, trust and AI: Understanding public trust in healthcare institutions
Held in February 2026, this seminar explored public trust in healthcare and the use of health data.
Tomorrow’s Health Today: AI and Data Science explained
In April 2025, we co-hosted Tomorrow’s Health Today: AI and Data Science Explained with the UKHSA. The panel discussion, held as part of the Cambridge Festival, explored the real-world uses and limitations of AI in health.
Public views on AI and health data
We supported public involvement and engagement activity exploring healthcare data, AI and technology, helping researchers understand public priorities, concerns and expectations around trustworthy and inclusive innovation.