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#/registr...> 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