LaBLab is all about the methodology around intensive longitudinal data, with special attention to modeling change. Most of our work is related to well-being and a major focus is on understanding and developing intensive longitudinal modeling approaches for clinical practice. Given this focus, we find it important to not only collect data about affect and symptoms, but also the context around us, such as our social environment and social interactions.
Modeling intensive longitudinal data comes with conceptual challenges, such as how to best conceptualize mental disorders, which receive specific attention in our lab. Furthermore, we do not stop at analyzing data, but find it very important that the models and conceptual thinking get translated into (visual) feedback that can be used in clinical practice in a comprehensible way for researchers, therapists and patients. You can click on our photo’s to see our other supervisors and collaborators and continue clicking to find out more about our individual research projects.