PROJECT SUMMARY/ABSTRACT
This U24 application is written in response to RFA-AT-20-003 to establish a high-priority research network on
emotional well-being (EWB). While psychological research on well-being has dramatically increased over the
past 15 years, virtually all of this work has been descriptive and has not emphasized the “how” of well-being:
How might well-being be cultivated? In addition, virtually all of the extant work on the correlates of individual
differences in well-being has used responses on retrospective questionnaires as the primary tool to assess
well-being. While there have been exciting findings, particularly relating individual differences in well-being to
various indices of physical health, many questions remain and methodological limitations plague the validity of
this work. This U24 network will assemble a highly multi-disciplinary group of 10 investigators across 3 (or
more in the future) institutions to significantly advance our understanding of the “how” of EWB, identify the core
plastic constituents of EWB, specify and/or develop robust measures of these constituents at biological,
behavioral and experiential levels of analysis and characterize the plasticity of these constituents. The
measurement strategy will ultimately focus on the development of technology-based passive measures of
EWB that require no explicit user input and are highly scalable. The network will also focus its efforts on the
development and evaluation of programs to train EWB and will assess whether such programs might serve as
prevention strategies. The network will consist of scientists and scholars from a broad range of fields including
psychology, neuroscience, electrical and computer engineering, population health and biology, computer
science and the humanities. These scientists and scholars will focus on the following major aims: Aim 1: To
arrive at a core consensus of the minimal set of constituents that can be described and measured at biological,
behavioral and experiential levels that constitute the plastic elements of EWB and to specify already existing
measures and /or develop novel measures of each of these constructs at each level of analysis. Aim 2: Using
the active measures described in Aim 1, to develop passive measures using digital technologies of at least two
of the core constituents of well-being. Aim 3: To develop pilot projects specifically focusing on prevention
strategies for learning well-being in various samples. The network will train new investigators and bring
established investigators into this new field, disseminate a framework for understanding the plasticity of well-
being, a toolbox of measures for assessing the plasticity of components of well-being, and several pilot
datasets that showcase the novel passive and field-friendly biological measures. In these ways, the network
will dramatically accelerate progress in the nascent field of EWB.
