Name: Stop Making Spaghetti (Code) - Nicola Rennie, Lancaster University
Start: 2024-07-02T16:30:00+0200
End: 2024-07-02T16:50:00+0200

The Sched app allows you to build your schedule for the useR! Virtual Event. The virtual event is free; there is no cost to participate.

Virtual Tutorials will take place live on Zoom, and you must pre-register in order to participate. You will be able to use the chat and Q&A features in Zoom to ask the presenters questions. Please register by clicking on the link in the tutorial’s description.

Virtual Session Presentations will take place on YouTube Premier. Speakers will be available during the presentation to answer questions in the chat. The presentations can be found in this playlist.

Please note: This schedule is automatically displayed in Central European Summer Time (UTC+02:00). To see the schedule in your preferred timezone, please select from the drop-down located at the bottom of the menu to the right.

IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

The in-person program will take place in Salzburg, Austria, on 8-11 July. Please see the in-person schedule page for more information.

Tuesday July 2, 2024 16:30 - 16:50 CEST

YouTube Premier

With an increasing number of academic journals requiring authors to submit code, an increasing number of PhD students developing R packages, and more open source packages requiring maintenance, the list of R programming skills required of new quantitative PhD students is ever growing. Many of these PhD students don’t have backgrounds in computer science, but find themselves writing code and developing software on a daily basis. They don’t always have supervisors with backgrounds in computer science either. So how do we help students go from writing spaghetti code, to working with good software development practices? In this talk, I’ll outline what training is currently offered to PhD students, gaps that have been identified (often by students themselves), and a suggestion of how we can better prepare PhD students for quantitative research so that none of them say “If I knew then what I know now, I would have done things entirely differently.”

Speakers

Nicola Rennie

Lecturer in Health Data Science, Lancaster University

Nicola Rennie is a Lecturer in Health Data Science based within the Centre for Health Informatics, Computing, and Statistics at Lancaster Medical School. Her research interests include applications of statistics and machine learning to healthcare and medicine, communicating data through... Read More →

Tuesday July 2, 2024 16:30 - 16:50 CEST
YouTube Premier

Virtual Session Presentation, Community

Virtual useR! 2024

Nicola Rennie

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