Start date

9th March 2020

End date

10th March 2020


10.00 am to 5.00 pm


Alan Turing Institute, British Library, 96 Euston Rd, London NW1 2DB


Neil Hall and Robert Davey (Earlham Institute),

Richard Morris (John Innes Centre),

Jon Rowe (Alan Turing Institute)

Background We are pleased to announce that the Alan Turing Institute (ATI) will host a workshop in partnership with the BBSRC-funded Designing Future Wheat research programme to explore the potential for innovative applications of data science and artificial intelligence to address problems relevant to the UK wheat community.

This two day workshop will bring members of the UK wheat community and data science researchers together to identify suitable and exciting biological problems (with associated datasets) that could be further developed and made ready for a future wheat-focussed Data Study Group (DSG). DSGs are week-long intensive interdisciplinary workshops which explore a small number of topics in greater depth to seed longer-term collaborations which could lead to joint publications or research proposals.

See here for more information https://www.turing.ac.uk/collaborate-turing/data-study-groups .

We hope to encourage wide participation from data scientists and the UK wheat community, including stakeholders from industry and government. Problems considered within scope for the workshop include, but are not limited to: wheat genomics and genetics, phenotyping, breeding, GxExM interactions, agronomy, wheat pests and disease interactions, impacts of climate change, sustainability and wheat as part of a healthy diet. We particularly want to encourage participation from members of the wider data science community who consider that they have relevant skills or experience that could be brought to bear on the areas listed above and might be interested to be involved in future DSGs as a challenge owner (Early Career Researcher) or as a potential PI.

There are limited spaces available and so please complete the short questionnaire to register your interest, your expertise and the reasons for wanting to participate. We also ask for a little information on the challenges or datasets that you would like to be considered or would be interesting to investigate.