Bayes Centre

Research

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:

  1. Digital technology
  2. Robotics and autonomous systems
  3. 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

  1. AI for health and care,
  2. digital twinning technologies, and
  3. 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

Related Links

Edinburgh Futures Institute

Usher Institute

Easter Bush

National Robotarium

Turing@Edinburgh

Space and Satellites

The Alan Turing Institute

Our activities within the Alan Turing Institute involve colleagues from across the University, and are coordinated through the Bayes Centre, providing a focus for academic data science and AI research and connectivity to the Institute’s UK-wide community.

Business Informatics Cluster

The Business Informatics research cluster brings together world-leading academic expertise from the University of Edinburgh’s School of Informatics and Business School.

Digital Twinning Network

Digital twins are digital replicas of living, physical, or social systems that are updated with real-time data and can be used to analyse and predict their behaviour through simulation. They provide organisations with the capability to conduct experiments and anticipate future events, enabling better design, planning, and monitoring of complex systems.

Space Innovation Hub at Edinburgh

University of Edinburgh leading in space and satellites activities

Research Funding - News and updates

The latest funding news and updates of interest to researchers in the College of Science and Engineering

Research Team

Meet the Research Team

Collaborative Research

picture of books from an above angle
The Bayes Centre brings researchers in data science and AI from across the University together with the aim of creating exciting opportunities for fundamental and applied research, connecting them also to our national and international networks