News & Events
Join us for workshops, seminars, and collaborative events exploring light's impact on health and well-being.
KNUST / TUM-Ghana delegation
Our team visited Kwame Nkrumah University of Science and Technology, Kumasi (KNUST) in Ghana, supported by the Technical University of Munich Global Incentive Fund (TUM GIF).
Together with our collaborators we explored an extensive dataset on everyday light exposure they collected in Ghana as part of the MeliDos project and discussed how we can bridge key knowledge gaps around light's impact on circadian and ocular health.
Interactive Workshop on Visual Experience
We are committed to building solutions that foster broad collaboration and big impact! On 26 March 2025, we opened our first collaborative workshop, joined by colleagues from across the globe.
We sat down for an engaging conversation about how we collect and analyse data currently and about future directions. From smart watches to contact lenses fitted with sensors, our session highlighted a shared need for standardization and a privacy-first mindset when approaching data collection and storage.
GLEE Kicks Off
The GLEE team assembled in our Munich office to celebrate the launch of our new project. With big goals, the team dove headfirst into reimagining how light exposure data is collected, stored, processed, and analyzed.
In keeping with our focus on light, we closed the day with a visit to Luisa Baldinucci's multi-sensory installation "Afterglow" at Haus der Kunst - much more to come, stay tuned!
LightLogR Tutorial
Ever thought about how you can streamline your data into meaningful insights for research and clinical practice?
Join GLEE's Johannes Zauner PhD for a hands-on tutorial guiding you through LightLogR - an open-source R package for the analysis of personal light exposure data. Learn how to convert data formats, validate logging data, generate metadata, and visualize your findings.
LightLogR implements the following features:
- Conversion of common file formats
- Validation of light logging data
- Generation of data and metadata files
- Calculation of common parameters
- Semi-automated analysis and visualization
- Integration of data into a unified database for cross-study analyses