Research programmes at the Bayes Centre will promote best practice in data ethics and information governance
The Bayes Centre fosters data-driven innovation within and beyond the University of Edinburgh, capitalising on existing strengths across the College of Science and Engineering
Through collaborative cutting-edge research in data science and Artificial Intelligence (AI) and the provision of wide-ranging datasets and high-performance computing capabilities, the Centre will enable the University to be at the forefront of the ‘data revolution.’
As part of the ambition to position Edinburgh and South East Scotland as the Data Capital of Europe, the Bayes Centre attracts world-leading scientists to its state-of-the-art facilities, in order to grow collaboration with existing research expertise across our academic disciplines.
Our translational research and development (R&D) strategy focuses on delivering impact from data science and AI in three key areas:
- Digital technology
- Robotics and autonomous systems
- Space and satellites
Our focus is on the mathematical, computational, and engineering underpinnings of these technologies that are widely applicable in a lot of other key sectors such as healthcare, finance, infrastructure, tourism, agriculture, and the public sector. We work closely together with the other hubs in the Data-Driven Innovation Programme – the Edinburgh Futures Institute, the Usher Institute, Easter Bush, and the National Robotarium to connect the University’s research expertise in key technical subjects to the challenges of other sectors.
Our current translational R&D strategy focuses on three priority areas
- AI for health and care,
- digital twinning technologies, and
- trustworthy AI
Building on key expertise from across the University in areas such as AI and machine learning, data science, statistics, cybersecurity, blockchain, quantum computing, robotics, sensors, IoT, supercomputing, satellite data, and geo- and biotechnology.
The focus for academically-led research initiatives in these areas is Turing@Edinburgh, hosted by the Bayes Centre, which provides opportunities to all University researchers and students. But we also host specific activities and programmes, such as the Space and Satellites programme and Business Informatics. You can find out more about the Bayes Research Team and these activities below.
Industrial partners wishing to engage with the Bayes community should contact Director of Innovation, Director of Commercialisation and Industry Engagement Jim Ashe.
For University staff and students requiring further information relating to the Bayes Research Group please visit Bayes Intranet