Bayes Research Group Remit
The Bayes Research Group develops and oversees the delivery of research-related programmes and projects within the Data-Driven Innovation (DDI) Programme and is responsible for delivery of the Research and Datasets objectives of the Bayes business case. It develops proposals for submission to the DDI Programme Board, cascading DDI ambition and priorities into delivery units across the University.Vision
To lead on data science and AI (DSAI) through cutting-edge research and provision of a broad range of datasets supporting this research, so as to enable the University of Edinburgh to be at the forefront of translational and multidisciplinary DSAI research by fostering collaboration across the University.Aims
To grow existing and develop new translational and multidisciplinary DSAI research activities that benefit target DDI sectors through cross-University collaboration.
To develop new DSAI research 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 research at the University to grow in terms of quantity and quality by attracting external investment.
To identify new opportunities for research collaboration via cross-disciplinary engagement, and liaise with other DDI hubs.
Joint strategic development, oversight, progress monitoring of the portfolio of programmes and projects pertaining to the Research and Datasets themes of the DDI Programme.
Networking and outreach within individual represented units, cascading DDI opportunities to broader communities, and bringing initiatives and priorities from these units to the group.
Facilitating access to DDI funding for their respective units via the development of proposals in line with DDI KPIs, and supporting cross-unit information sharing on research matters.
Ensuring new research initiatives are aligned with the strategies of Schools and Colleges, and comply with established University processes for research grant delivery and management.
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.