- lightlogr-users - lists.lrz.de

Online course: Open and Reproducible Analysis of Light Exposure and Visual Experience Data
by Johannes Zauner Feb. 26, 2026

Feb. 26, 2026

Dear LightLogR users, Join us next Tuesday, 3 March 2026, for another round of our "Open and reproducible analysis of light exposure and visual experience data – Online course". If you have missed last year's beginner-level session or want a refresher, this one is for you. As an added bonus, participants will get a sneak peek at our next release for personal light exposure analysis: web-based GUI, robust, no coding required, still reproducible. Come have a look! Register here: https://tum-conf.zoom.us/webinar/register/WN_xGoHi1i_Sz2flC6-qGcLoQ#/regist… Who it’s for: Post-docs, PhD students, data scientists, and research-active academics working with wearable time-series data of light in R for light data (and distance, spectrum etc). Coming up: Beginner track with two live webinars (morning & evening, CET) to suit global time zones. Session length: 90 minutes (theory + live coding + Q&A). Certificate: Issued on completion. Prerequisites: Basic familiarity with R. No prior LightLogR experience required For more information, have a look at the course flyer in the attachment. All the best, The LightLogR team

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LightLogR Newsletter #02
by johannes.zauner＠tum.de Jan. 20, 2026

Jan. 20, 2026

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Open and reproducible analysis of light exposure and visual experience data: advanced course recordings online
by Johannes Zauner Dec. 16, 2025

Dec. 16, 2025

Dear all, Good news from the online course Open and reproducible analysis of light exposure and visual experience data. We are happy to report that the recordings for the first two advanced use cases are now online. You can find these and more under: https://tscnlab.github.io/LightLogR_webinar/ LightLogR Webinar tscnlab.github.io All the best Johannes

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Open and reproducible analysis of light exposure and visual experience data: Online course
by Johannes Zauner Sept. 19, 2025

Sept. 19, 2025

Dear colleagues, We invite you to join the Open and reproducible analysis of light exposure and visual experience data online course—a free, live series for researchers analyzing wearable light and visual experience data in R with the open-source LightLogR <https://tscnlab.github.io/LightLogR/> package. The series offers two tracks (Beginner and Advanced), each delivered as a two-part course via Zoom. To accommodate global time zones, every session will be offered twice on the same day. Register here <https://tum-conf.zoom.us/webinar/register/WN_xGoHi1i_Sz2flC6-qGcLoQ#/regist…> Beginner Track Tuesday, 7 October 2025 Wednesday, 4 March 2026 Topics: tidy data workflows, preprocessing, metric calculation, visualization, merging auxiliary data, and photoperiod analysis Advanced Track Tuesday, 9 December 2025 Wednesday, 6 May 2026 Topics: merging light with sleep and auxiliary streams, advanced visualizations, conditional metrics, time-zone handling, and spectral/distance measures Format 90-minute live webinars (introduction, demonstration, Q&A) Offered twice daily: 08:30–10:00 and 18:00–19:30 CET/CEST Dedicated Q&A with the package developer and maintainer Certificate of participation (micro-credential) awarded upon completion of both parts in a track These tutorials are practical, reproducible, and interactive, with ready-to-use code snippets and example datasets. Detailed learning outcomes are provided in the attached PDF. About the developer / instructor Johannes Zauner is a postdoctoral researcher in circadian data science at the Translational Sensory & Circadian Neuroscience Unit (MPS/TUM/TUMCREATE) <https://www.tscnlab.org/> at the Technical University of Munich and the Max Planck Institute for Biological Cybernetics. He holds a PhD in Human Biology and is currently focused on developing software tools for analyzing data from wearable light loggers. Best wishes, Manuel Spitschan PhD & Johannes Zauner PhD

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[lightlogr-users] LightLogR Newsletter #01
by johannes.zauner＠tum.de July 23, 2025

July 23, 2025

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[lightlogr-users] LightLogR Newsletter #01
by johannes.zauner＠tum.de July 23, 2025

July 23, 2025

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