Writing Computational Models that are FAIR and VRAI

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• Dr Dominic Orchard; Institute of Computing for Climate Science, University of Cambridge, and University of Kent
• Tuesday 19 November 2024, 11:00-12:00
• Chemistry Dept, Unilever Lecture Theatre and Zoom.

If you have a question about this talk, please contact Vichawan (Print) Sakulsupich.

Whilst mathematics has long been held as the language of science, computer code has rapidly become another such language; programming is now a critical tool in the scientist’s toolbox, not least for data analysis but also for the construction of complex models. The inherent and accidental complexity of such models can however stymie their use as a vehicle for both effectively communicating ideas and efficiently computing predictions. In this talk, I will discuss some general practical principles for ensuring that computer models can have more impact and value, both for yourself and the scientific community. I’ll use the established concept of FAI Rness (first applied to data): that computer models should be Findable, Accessible, Interoperable, and Reusable. To this I add my own perspective, that models should also be VRAI : Verifiable, Reproducible, Auditable, and Interpretable. Along the way I will talk about our work at ICCS applying such principles with earth and climate scientists and discuss our recent research on programming tools and systems to make it easier to develop FAIR and VRAI models.

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CAS UnionRoad is inviting you to a scheduled Zoom meeting.

Topic: CAS seminar: Dr Dominic Orchard Time: Nov 19, 2024 11:00 AM London

Join Zoom Meeting https://us02web.zoom.us/j/86167918145?pwd=iUbWnUiGzsG1qXb44kPI0Kkl64dsic.1

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This talk is part of the Centre for Atmospheric Science seminars, Chemistry Dept. series.

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