I. Advancing technologies to improve delivery of pharmacological, gene editing, and other cargoes for HIV and SUD mechanistic or therapeutic research (R01- Clinical Trial Optional) RFA-DA-22-010
II. Accelerating the Pace of Drug Abuse Research Using Existing Data RFA-DA-22-037 and RFA-DA-22-028
III. Upcoming Funding Opportunity on Workshops on Computational and Analytical Research Methods
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I. Advancing technologies to improve delivery of pharmacological, gene editing, and other cargoes for HIV and SUD mechanistic or therapeutic research (R01- Clinical Trial Optional) RFA-DA-22-010
The purpose of this funding opportunity is to develop technologies to improve the delivery of pharmacological, gene editing, or other cargoes for HIV and SUD mechanistic research.
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II. Accelerating the Pace of Drug Abuse Research Using Existing Data RFA-DA-22-037 and RFA-DA-22-028
R01 - https://grants.nih.gov/grants/guide/rfa-files/RFA-DA-22-037.html
R21 - https://grants.nih.gov/grants/guide/rfa-files/RFA-DA-22-038.html
Next Application deadline: March 4, 2022
The purpose of this Funding Opportunity Announcement (FOA) is to invite applications proposing innovative analysis of existing social science, behavioral, administrative, and neuroimaging data to study the etiology and epidemiology of substance using behaviors (defined as alcohol, tobacco, prescription, and other substances) and related disorders, prevention of substance use and HIV, and health service utilization. This FOA encourages the analyses of public use and other extant community-based or clinical datasets to their full potential in order to increase our knowledge of etiology, trajectories of substance using behaviors and their consequences including morbidity and mortality, risk and resilience in the development of psychopathology, strategies to guide the development, testing, implementation, and delivery of high quality, effective and efficient services for the prevention and treatment of substance use disorder and HIV. Primary data collection is not allowed for applications in response to this FOA.
Posted Date: January 10, 2022
Funds Available and Anticipated Number of Awards: NIDA intends to commit $2 million in FY 2022 to fund 3-5 awards.
III. Upcoming Funding Opportunity on Workshops on Computational and Analytical Research Methods
The NIDA concept below may be of interest to you. FYI, a concept “describes the purpose, scope, and objectives of a potential funding opportunity. Concepts are posted to give interested researchers additional time to plan for application submissions. Approved concepts are usually developed into Requests For Applications (RFAs), Program Announcements that include set-aside funds (PASs), or Program Announcements with special receipt, referral and/or review considerations (PARs). The NACDA conducts most, but not all, NIDA concept clearances. Concepts may also be cleared through other public venues.”
Please feel free to share among your colleagues.
Workshops on Computational and Analytical Research Methods
Posted September 2021
Background
Neurocognitive studies have undergone transformative changes over the last decade. First, there has been a shift in the field towards pooling together smaller datasets (e.g., ENIGMA) or creating larger ones that are widely disseminated (e.g., Human Connectome Project, ABCD, HBCD). This shift has accelerated machine learning-based efforts towards prediction of substance use and psychiatric outcomes. Second, computational psychiatry has witnessed significant advances in explanatory modeling that seek to uncover neural computations underlying cognition, behavior, and associated dysfunction (e.g., reinforcement learning models applied towards dopamine’s role in reward learning and motivation). While major advancements have been made in the development of rigorous analytical and computational methods, their application in SUD research remains an area for further growth.
Goal
The purpose of this concept is to invite applications that disseminate analytical and computational methodologies and best practices through educational activities with hands-on research experience. The overall goals of this initiative are:
- Facilitating collaboration between clinical and computational researchers on SUD research
- Enhancing rigor and reproducibility towards better predictive models
- Broader application of sophisticated analytical and computational modeling approaches in SUD research
- Development of novel solutions to challenges faced in clinical application of computational psychiatry models
Primary: Vani Pariyadath, Ph.D., Chief, Behavioral and Cognitive Neuroscience Branch, Division of Neuroscience and Behavior
Elizabeth Hoffman, Ph.D., Scientific Program Manager (ABCD Project), Division of Extramural Research
The National Institute on Drug Abuse at the National Institutes of Health is an agency of the United States Department of Health and Human Services TO UNSUBSCRIBE: send email to listserv@list.nih.gov Copy and paste UNSUBSCRIBE NIDA_NEURO_SCIENCE-L
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