Bayes Innovation Group Remit


The Bayes Innovation Group develops and oversees the delivery of innovation-related programmes and projects within the Data-Driven Innovation (DDI) Programme and is responsible for delivery of the Adoption and Entrepreneurship objectives of the Bayes business case. It develops proposals and projects for submission, cascading innovation ambition and priorities into delivery units across the University.


To lead on adoption of data science and AI (DSAI) across industry, public, and third sectors as well as on DSAI business creation through wide-ranging collaboration with external partners, so as to enable the University of Edinburgh to maximise the benefits of translating its excellence in research and education into real-world impact in partnership with external organisations.

  • To grow existing and develop new DSAI adoption and entrepreneurship activities that benefit target DDI sectors through collaboration within the University and with external partners. 

  • To develop new DSAI innovation bids which contribute to the delivery of, but are not limited to, the DDI Key Performance Indicators (KPIs).

  • To share information of DDI-relevant funding sources to enable DSAI innovation at the University to grow in terms of quantity and quality by attracting external investment.

  • To identify new opportunities for adoption and entrepreneurship initiatives across the University and with potential external partners, and liaise with other DDI hubs.

  • Strategic development, oversight, progress monitoring of the portfolio of programmes and projects pertaining to the Adoption and Entrepreneurship.

  • Networking and outreach within individual represented units, cascading DigiTech, Space & Satellites and Robotics & Autonomous Systems opportunities to broader communities, and bringing initiatives and priorities from these units to the group.

  • Management and coordination of engagement with external partners where DigiTech, Space & Satellites and Robotics & Autonomous Systems​ activities involve relationships with industry, public, and third sector organisations.

  • Facilitating access to funding for their respective units via the development of proposals in line with Bayes KPIs, and supporting cross-unit information sharing on innovation matters.

Representative Members

Group members have been selected, or nominated, in recognition of their expertise and willingness to contribute to cross-disciplinary opportunities.  Members will:

  • Play a representative role, taking responsibility for the cascade of information back to their home School/College/Unit in order to shape and inform local strategy and engagement with the Bayes Centre.    

  • Contribute to the development of Bayes (and often Data Driven Innovation) related initiatives, working with colleagues to share cross-disciplinary expertise and consider opportunities for further collaboration.

  • Share good practice, in support of DDI objectives assigned to CSE Schools and other cross-disciplinary opportunities.

  • Commit to sharing emerging School/College/Unit strategic priorities, and highlight opportunities for further collaboration.

Previous meeting

Bayes Innovation Group Meeting (Thursday, 23 December 2021, 10.00am - 11.30am)