Data Analysis in Chronobiology
Wed 16 Sept
|JIC Conference Centre
Mix and match workshops on data analysis in Chronobiology.
Time & Location
16 Sept 2026, 12:30 – 15:30
JIC Conference Centre, Norwich NR4 7UG, UK
About the event
Join us the day before clock club for a crash course on chronobiology-specific data analysis methods and tools!
We will be running four in-person workshops on the afternoon of Wednesday 16th of September. You can sign up for any one or two sessions but please check that you are not selecting clashing sessions. E.g. Do not select both workshops 1 and 2 as these both take place at the same time in different rooms. Please bring laptops with the relevant software pre-installed. You may also wish to bring your own data.
Workshop 1: Circadian Data in BioDare 2 1pm-2pm Andrew Millar - University of Edinburgh Andrew will introduce rhythm detection and period/phase/amplitude analysis, with a 'how-to' demonstration of BioDare2. In Q&A, we can briefly discuss your data, best if you have a login for https://biodare2.ed.ac.uk Workshop 2: Circadian Data in Desmos 1pm-2pm Pirita Paajanen - University of Helsinki Pirita will demonstrate how to make use of Desmos with circadian…
Tickets
Circadian Data in BioDare2
1pm-2pm Andrew Millar - University of Edinburgh Andrew will introduce rhythm detection and period/phase/amplitude analysis, with a 'how-to' demonstration of BioDare2. In Q&A, we can briefly discuss your data, best if you have a login for https://biodare2.ed.ac.uk
£0.00
Circadian Data in Desmos
1pm-2pm Pirita Paajanen - University of Helsinki Pirita will demonstrate how to make use of Desmos with circadian data. You will start to build intuition of the circadian processes, such as entrainment and period changes.
£0.00
LMER in R
2.30pm-3.30pm Billy Smith - Newcastle University In this workshop, we’ll be exploring how to implement and interpret linear mixed effects regression (LMER) models in chronobiological datasets. We’ll cover the advantages and use-cases of LMERs, how they work, assumptions they make of data, how to implement them in R, and how to interpret and report their outputs.
£0.00
Circular Statistics in R
2.30pm-3.30pm Hannah Rees - Aberystwyth University This workshop will give an overview of circular statistics and introduce some useful tools for visualising, analysing and interpreting these tricky data types in R.
£0.00
Total
£0.00
With thanks to our sponsors
