NIH Weekly Funding Opportunities and Policy Notices
Notice NOT-GM-21-054 from the NIH Guide for Grants and Contracts
Notice NOT-DE-21-008 from the NIH Guide for Grants and Contracts
Notice NOT-OD-21-157 from the NIH Guide for Grants and Contracts
Notice NOT-OD-21-149 from the NIH Guide for Grants and Contracts
Funding Opportunity PAR-21-239 from the NIH Guide for Grants and Contracts. Reissue of PAR-18-755. The primary goal of the NIMH Career Transition Award for Tenure-Track Intramural Investigators (K22) Program (hereafter abbreviated as the NIMH Career Transition K22 Program) is to provide support for career intramural investigators at NIMH who aim to transition from the Division of Intramural Research Programs (DIRP) to an independent research faculty position in the extramural community. Applicants should have a demonstrated record of meritorious research in mental health-related fields
Notice NOT-DA-21-061 from the NIH Guide for Grants and Contracts
Notice NOT-OD-21-158 from the NIH Guide for Grants and Contracts
Funding Opportunity PA-21-260 from the NIH Guide for Grants and Contracts. This Funding Opportunity Announcement (FOA), issued by the National Institutes of Health (NIH) and the Centers for Disease Control and Prevention (CDC) invites eligible United States small businesses to submit Small Business Innovation Research (SBIR) grant applications. United States small businesses that have the research capabilities and technological expertise to contribute to the R and D mission(s) of the NIH and CDC awarding components identified in this FOA are encouraged to submit SBIR grant applications in response to identified topics (see PHS 2021-2 SBIR/STTR Program Descriptions and Research Topics for NIH, CDC, and FDA). This Parent Funding Opportunity Announcement requires that at least 1 clinical trial be proposed. The proposed project must be related to the programmatic interests of one or more of the participating NIH Institutes and Centers (ICs) based on their scientific missions.
Funding Opportunity PA-21-261 from the NIH Guide for Grants and Contracts. This Funding Opportunity Announcement (FOA), issued by the National Institutes of Health (NIH) invites eligible United States small businesses to submit Small Business Technology Transfer (STTR) grant applications. United States small businesses that have the research capabilities and technological expertise to contribute to the R and D mission(s) of the NIH awarding components identified in this FOA are encouraged to submit STTR grant applications in response to identified topics (see PHS 2021-2 SBIR/STTR Program Descriptions and Research Topics for NIH, CDC, and FDA). This Parent Funding Opportunity Announcement requires that at least 1 clinical trial be proposed. The proposed project must be related to the programmatic interests of one or more of the participating NIH Institutes and Centers (ICs) based on their scientific missions.
Funding Opportunity PA-21-262 from the NIH Guide for Grants and Contracts. This Funding Opportunity Announcement (FOA), issued by the National Institutes of Health (NIH) invites eligible United States small businesses to submit Small Business Technology Transfer (STTR) grant applications. United States small businesses that have the research capabilities and technological expertise to contribute to the R and D mission(s) of the NIH awarding components identified in this FOA are encouraged to submit STTR grant applications in response to identified topics (see PHS 2021-2 SBIR/STTR Program Descriptions and Research Topics for NIH, CDC, and FDA). This Parent Funding Opportunity Announcement does not accept clinical trials.
Funding Opportunity PA-21-259 from the NIH Guide for Grants and Contracts. This Funding Opportunity Announcement (FOA), issued by the National Institutes of Health (NIH), the Centers for Disease Control and Prevention (CDC), and the Food and Drug Administration (FDA), invites eligible United States small businesses to submit Small Business Innovation Research (SBIR) grant applications. United States small businesses that have the research capabilities and technological expertise to contribute to the R and D mission(s) of the NIH, CDC, and FDA awarding components identified in this FOA are encouraged to submit SBIR grant applications in response to identified topics (see PHS 2021-2 SBIR/STTR Program Descriptions and Research Topics for NIH, CDC, and FDA. This Parent Funding Opportunity Announcement does not accept clinical trials.
Funding Opportunity RFA-AI-21-041 from the NIH Guide for Grants and Contracts. The purpose of this Funding Opportunity Announcement is to investigate innate immune cell effector functions and innate immune memory as a means to prevent HIV infection and/or establishment of disease. Exploratory research from basic molecular mechanisms, translational work, and clinical research examining innate memory are encouraged.
Funding Opportunity PAR-21-264 from the NIH Guide for Grants and Contracts. Reissue of RFA-MH-19-240. This Funding Opportunity Announcement (FOA) solicits proposals for research projects that will apply computational approaches to develop parametrically detailed behavioral assays across mental-health relevant domains of function. These projects should focus on behavior in humans and test computational models in healthy subjects. For future applications, NIMH is particularly interested in behavioral measures, models, and parameters that have the potential for back-translation from humans to animals, especially for pre-clinical therapeutics development. NIMH is also interested in models that can be extended to clinical populations in the future.
Funding Opportunity PAR-21-263 from the NIH Guide for Grants and Contracts. Reissue of RFA-MH-19-242.This Funding Opportunity Announcement (FOA) solicits proposals for research projects that will use computational approaches to test the validity of dimensional constructs in the NIMH Research Domain Criteria matrix (or similar constructs based on comparable criteria). Some elements of the RDoC matrix have been updated since its first release, but a thorough data-driven validation that broadly explores, compares, and validates the constructs within the matrix has not been performed. This FOA seeks research that addresses the following questions: do the different domains of behavior segregate from each other? How much do they rely on distinct vs. overlapping neural circuits? What are the relationships between domains, constructs and subordinate subconstructs, both in terms of their correlational structure and their underlying neural circuitry? By answering these questions, proposals will test integrative models of functioning and identify dysregulation in psychopathology-related mechanisms that may cut across traditional diagnostic categories and may change over time. This FOA seeks to promote projects where the computational and the experimental components are well-integrated. The ultimate goal is to advance translational research that will identify novel classification approaches and/or treatment targets, and lead to more effective and timely interventions for serious mental illness.
Notice NOT-CA-21-094 from the NIH Guide for Grants and Contracts
Notice of Special Interest (NOSI): High Priority Areas in Placental Research for Healthy Pregnancies
Notice NOT-HD-21-040 from the NIH Guide for Grants and Contracts
Notice NOT-OD-21-156 from the NIH Guide for Grants and Contracts
Funding Opportunity PA-21-265 from the NIH Guide for Grants and Contracts. This FOA issued by AHRQ invites grant applications for funding to conduct Large Research Projects (R01) that propose to advance the base of knowledge for detection, prevention, and reduction of Healthcare-Associated Infections (HAIs). This FOA describes the broad areas of HAI research for which funds are available to support Large Research Projects.
Notice NOT-DA-21-048 from the NIH Guide for Grants and Contracts
Funding Opportunity RFA-AG-22-022 from the NIH Guide for Grants and Contracts. This Funding Opportunity Announcement (FOA) will use the NIH Phased Innovation Award mechanism ((R21/R33) to develop novel transformative artificial intelligence/machine learning (AI/ML) strategies and computer automation to integrate, extract, and interpret multi-omic (i.e., genome, epigenome, transcriptome, proteome, metabolome, microbiome, phenome) data sets from human exceptional longevity (EL) cohorts and multiple non-human species that display wide variation in life span and decipher the relationships between DNA, RNA, proteins, metabolites, and other cell variables, as well as links to disease risks and exceptionally healthy aging.