VIEW (Variability in Emotion and Wellbeing) Lab

Using idiographic, interdisciplinary, cross-cultural, and mixed methodological approaches, we investigate what makes people happy. We seek to advance the well-being of individuals through person-centric, multilevel, and cross-disciplinary lens.

Change is a part of human experience. We examine short-term affect, performance, and personality states fluctuations over time and the implications of such variability on individual outcomes. We use experience sampling methodology and daily diary studies to capture in-the-moment experiences of individuals. In the future, we plan to use measurement burst and sensor-based studies to further our investigation.   

We integrate statistical techniques, including multilevel modeling, text mining, machine learning, and network analysis, to capture nuanced, data-driven insights into workplace behavior. By leveraging big data and novel methodologies, we aim to refine and expand the science of well-being and organizational psychology.