Our research group develops the analytics to extract longevity- and health-related information from longitudinal multiscale data that include real life activity data. The analytics are designed to allow the automated integration of context information for the interpretation of activity data. This emerging research field of "semantic activity analytics" applies interpretable and responsible AI to develop person-, context- and situation-aware decision support systems. As spoken language in real life environments contains large amounts of information on social, intellectual, spatial, physical, emotional or cultural engagement, they are of central importance to our research.