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No conference would be what it is without the support of those speaking, and EARL is no exception. Our speakers come from around the world to present their ideas and approaches. They represent companies of all sizes and give their time to share their knowledge and experience with attendees.

Bob Vaughan | Syngenta

Scientific End User Computing Lead at Syngenta, with a passion for technology, data, science, computers, early eighties video games, and just about everything else. B.Sc. Hons Molecular Biology & M. Res. Bioinformatics from University of Glasgow, former Curation Co-ordinator of the European Nucleotide Archive at the European Bioinformatics Institute.

Reconciling the Seemingly Disparate: Unifying R use in a scientifically diverse company

Syngenta is a leading agriculture company helping to improve global food security by enabling millions of farmers to make better use of available resources. It’s a global company with a broad range of science, from biology and genetics to chemicals, environmental data and modelling, safety profiling, agronomic data, manufacturing and engineering. Across all of these disciplines use of R (on the desktop, from the command line on servers and as part of backend for other systems) was common, but with no sharing of code, ideas or knowledge. We took a multi-faceted approach to addressing this, with a developer group being set up, presentations arranged, and then eventually the establishment of a central platform for R Studio and Shiny Server, allowing developers to write and execute their own code, share, review and discuss their code, and deploy code, data and models to end-users across Syngenta in web based user friendly applications. In additional to the practical provision of R Studio and Shiny with support from R Studio, Syngenta has also developed sets of standards and best practices for developers in conjunction with Mango Solutions, with this feeding into a more general objective of connecting computational scientists across the company and developing a broad based computational science capability.