Learning Network for
Advanced
Behavioural
Data
Analysis
LABDA is an EU-funded Marie Skłodowska-Curie Actions (MSCA) doctoral network project under Horizon Europe, that brings together leading researchers in advanced movement behaviour data analysis at the intersection of data science, method development, epidemiology, public health, and wearable technology to train a new generation of creative and innovative public health researchers via training-through-research.
The main aims are, but are not limited to:
- Establish novel methods for advanced 24/7 movement behaviour data analysis of sensor-based data.
- Develop and use multi-modal data for predicting health risks.
- Facilitate the use and interpretability of the advanced methods for application in science, policy and society
With the help of available 24/7 movement behaviour data, the goal is to develop a network of researchers that can advance methodologies, collaborate and exchange knowledge, predict health risks, and, not least, provide a toolkit for better interpretability of advanced methods for researchers and society.
