Real life database

Data are essential for developing AI methods. The majority of studies collect data in the laboratories because collecting data in real life is much more difficult. However, in order to develop AI-based products for real life, it is necessary to train and/ or test AI methods on realistic data. Real life data, collected in Mad@Work, are unique in many aspects and will serve for improving AI methods for years after that project ends.

Long-term data from various sensors and self-reports on stress and stressors

Data should be anonymised and checked that real identities of the test subjects cannot be recovered

Companies and research organisations, developing AI methods

Data sharing agreements