Sep 09, 2020
- ZOOM Cloud Meetings
- Metting ID:8572571104
The COVID pandemic is one of the most recent demonstrations of the need to build large scale systems that allow responsible, secure sharing of healthcare data at large scale and analysed within short timeframes. COVID also demonstrated many of the limitations of current systems in delivering on the promise of truly large scale data sharing with high levels of automated analytics. So we have a gap between aspiration and reality. I will discuss, from a technical point of view, why this gap exists and suggest what it would take to bridge the gap, so we could mobilise data at national and perhaps international scale to gain insights in a timely way. Methods from AI will be essential to cope with the automation that this entails. I will draw on examples from Health Data Research UK, which is the UK’s research organisation for data intensive healthcare.
Chair of Applied Logic, Vice Principal and Head of College of Science & Engineering at the University of Edinburgh
David Robertson is Chair of Applied Logic, Vice Principal and Head of College of Science & Engineering at the University of Edinburgh. Prior to this he was Head of School of Informatics at Edinburgh, which is the largest UK computing science department in the UK in terms of research power. His computing research is on Artificial Intelligence, specialising in formal methods for coordination and knowledge sharing between (human/artificial) agents in distributed systems where a high degree of autonomy is expected in the components of the underlying system. This is one of the enablers for AI at large scale. Methods from his group have been applied to astronomy, simulation of consumer behaviour, emergency response and healthcare. He was a member of the Farr Institute for medical data sharing and was co-director of the Centre for Medical Informatics at the University of Edinburgh. He is currently Director of the Scottish node of Health Data Research UK. He chaired the executive of the UK Computing Research Committee (the expert panel of the British Computer Society and the Institution of Engineering and Technology) and has served on strategic advisory groups for the UK's Engineering and Physical Sciences Research Council, the Medical Research Council and Innovate UK. He is a member of the governance board for the Scottish Innovation Centre in Data Science and he was on the supervisory board for EIT Digital (the European Union's network for digital innovation).