The Emotional Well-being and Economic Burden Research Network (EMOT-ECON) is a new initiative to advance research and generate new knowledge about the impact of economic burden of disease on emotional well-being.
The Family Well-being Research Network (FAM-NET) aims to support and advance research on the measurement of family well-being and pediatric quality of life, by funding new areas of study, supporting and mentoring the next generation of scholars, and providing education and resources for researchers.
Our M3EWB Network: Mechanisms Underlying Mind-Body Interventions & Measurement of Emotional Well-Being aims to (1) provide resources that assist in defining and measuring EWB across the life course and (2) engage interdisciplinary research that investigates the mechanisms through which mind-body interventions (e.g., yoga, deep breathing) promote EWB.
The Network for Emotional Well-being and Brain Aging (NEW Brain Aging) aims to identify the role of emotional wellbeing (EWB) in health of older adults, identifying and testing mechanisms by which brain aging influences EWB, and how EWB may impact risk for and progression of Alzheimer’s Disease and related dementias
The Plasticity of Well-Being Network aims to refine and test key concepts that advance the study of emotional well-being as well as to develop innovative measures of the key pillars of well-being.
The Network for Emotional Well-being: Science, Practice, and Measurement brings together leading experts from UCSF, UC Berkeley, and Harvard to create a cohesive transdisciplinary network of scientists interested in EWB. We are a collaborative initiative of research scientists funded by the National Institutes of Health to advance the scientific understanding and measurement of emotional well-being. Our goal is to enhance empirical rigor and consensus around the conceptual definition and measurement approaches, to promote synergy across methods and study paradigms, and to catalyze mechanistic intervention-relevant research that can yield reliable pathways for improving EWB.