Deadline: 7-Jan-23
The National Institutes of Health (NIH) invites grant applications that will establish validated virtual measures of sociocultural, biobehavioral and environmental mechanisms that underlie trajectories of substance use, substance use exposures, and substance use disorders.
Research Objectives
- HEAL seeks mechanistic research to develop and establish ecologically valid remote assessments to study developmental outcomes and trajectories of substance use exposures. Applications are encouraged to utilize a multilevel approach, leveraging data types at the physiological, behavioral, and/or observational levels, to ascertain developmental outcomes across multiple domains of influence, including but not limited to assessments of sociocultural, biobehavioral and environmental mechanisms.
- To this end, applications should select constructs that are well-defined within a mechanistic framework related to understanding developmental outcomes and establishing developmental models of substance use exposure. These approaches should seek to obtain high frequency data for deep phenotyping of infant cognition and other infant outcomes.
Goals
The goals of the funding announcement are to:
- Leverage existing technologies (e.g., phones, video conferencing, biosensors, mobile imaging) and virtual measures of child outcomes and environment to establish validated constructs of developmental mechanisms and trajectories of substance use exposure.
- Establish and validate tools, methods, and pipelines for data acquisition and analysis of virtual and home assessments for rapid deployment across broad contexts.
- Transform the makeup of study populations by expanding its representativeness and lowering the burden of families to participate in developmental cognitive neuroscience research studies.
Topics
Topics of interest include, but are not limited to:
- Development and validation of environmental, behavioral, clinical, and psychophysiological assessments to study children and their caregivers in their natural environments, including development of novel wearable technologies, measures of neurocognition, and biospecimen collections.
- Development and validation of psychosocial measures of real-time caregiver-infant interactions, including but not limited to methods for automatic coding and analysis of contingent and reciprocal dyadic behaviors.
- Development and validation of cross-modal, high frequency assessments of infant neurocognition, including but not limited to use of mobile imaging technologies paired with behavioral measures.
- Evaluation of construct validity of remote assessments by comparisons to the standard in-person assessments they replace.
- Development of innovative analytic tools and methods, including machine learning methods, that integrate multidimensional, dense data collected remotely and longitudinally.
Funding Information
- Application budgets may not exceed $500,000 direct costs annually.
- The total project period for an application submitted in response to this FOA may not exceed five years.
Eligibility Criteria
- City or township governments
- Native American tribal governments (Federally recognized)
- Public housing authorities/Indian housing authorities
- Special district governments
- Others
- State governments
- Small businesses
- Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education
- Native American tribal organizations (other than Federally recognized tribal governments)
- Independent school districts
- Public and State controlled institutions of higher education
- Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education
- County governments
- Private institutions of higher education
- For profit organizations other than small businesses
For more information, visit https://www.grants.gov/web/grants/view-opportunity.html?oppId=343169
