Opportunity Information: Apply for RFA DA 24 009

Leveraging Big Data Science to Elucidate the Mechanisms of HIV Activity and Interaction with Substance Use Disorder (R21 Clinical Trials Not Allowed) is a National Institutes of Health (NIH) discretionary grant funding opportunity (RFA-DA-24-009) designed to bring data-focused and computational researchers into HIV and addiction science. The core goal is to stimulate new, creative approaches for integrating and analyzing complex, heterogeneous datasets that span different types (for example, clinical, behavioral, biological, molecular, imaging, or other high-dimensional research data) and different scales (from cells and tissues to individuals and populations). The program is explicitly looking for projects that use modern computational, bioinformatics, statistical, and analytical methods to make it possible to ask questions that could not be addressed with traditional single-dataset or single-scale approaches. In practical terms, the intent is to encourage investigators to develop or apply advanced data science strategies that can reveal mechanisms underlying HIV activity and how those mechanisms intersect with substance use disorder, with an emphasis on generating previously inaccessible insights that advance understanding of addiction biology in the context of HIV.

The award mechanism is an NIH R21, which is typically used for exploratory and early-stage projects that test novel ideas, develop new tools, or generate proof-of-concept results rather than supporting large, long-term research programs. As stated in the title, clinical trials are not allowed under this opportunity, meaning applicants should not propose studies that meet NIH’s definition of a clinical trial (such as prospective assignment of human participants to an intervention to evaluate its effects on health-related outcomes). Instead, the opportunity is geared toward computational and data-driven research that can include secondary analyses, method development, integrative modeling, or other non-trial designs that leverage existing or newly assembled datasets to produce mechanistic insight. The expectation is that better integration and analysis across data types will illuminate how HIV-related biological activity and substance use disorder influence one another, potentially identifying pathways, interactions, or risk/response patterns that are otherwise hidden.

Funding is provided as a grant, with an award ceiling listed at $275,000. The posting includes an original closing date of 2023-08-10 and a creation date of 2023-02-23. The opportunity falls under the broad activity categories of education and health and references CFDA numbers 93.279 and 93.879. While the notice does not spell out the exact number of expected awards in the provided text, it does communicate the overall intent and the resource limit for individual awards through the ceiling amount.

Eligibility is broad and intentionally inclusive, spanning many kinds of institutions and organizations that can contribute strong data science and biomedical expertise. Eligible applicants include state, county, and local governments; special district governments; independent school districts; public and state-controlled institutions of higher education; private institutions of higher education; federally recognized Native American tribal governments; tribal organizations that are not federally recognized; public housing authorities/Indian housing authorities; and a range of nonprofit organizations (both with and without 501(c)(3) status) that are not institutions of higher education. For-profit organizations other than small businesses, small businesses, and other entities are also eligible. The announcement additionally highlights several categories of “other eligible applicants,” emphasizing participation from Alaska Native and Native Hawaiian Serving Institutions, AANAPISI institutions, Hispanic-serving institutions, Historically Black Colleges and Universities (HBCUs), Tribally Controlled Colleges and Universities (TCCUs), faith-based or community-based organizations, eligible federal agencies, regional organizations, U.S. territories or possessions, and even non-U.S. (foreign) organizations. Overall, the eligibility language signals an interest in drawing proposals from a wide range of communities and organizational types, including institutions that serve historically underrepresented populations, as well as organizations with specialized data resources or technical capacity.

Taken together, this FOA is essentially a call for innovative big data science that can connect the dots between HIV and substance use disorder through sophisticated integration of diverse datasets. The NIH is aiming to catalyze new analytical capabilities and computational frameworks that can open up mechanistic understanding and generate insights relevant to addiction biology in the context of HIV, while keeping projects in the exploratory, non-clinical-trial space that fits the R21 mechanism.

  • The National Institutes of Health in the education, health sector is offering a public funding opportunity titled "Leveraging Big Data Science to Elucidate the Mechanisms of HIV Activity and Interaction with Substance Use Disorder (R21 Clinical Trials Not Allowed)" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.279, 93.879.
  • This funding opportunity was created on 2023-02-23.
  • Applicants must submit their applications by 2023-08-10. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
  • Each selected applicant is eligible to receive up to $275,000.00 in funding.
  • Eligible applicants include: State governments, County governments, City or township governments, Special district governments, Independent school districts, Public and State controlled institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities/Indian housing authorities, Native American tribal organizations (other than Federally recognized tribal governments), Nonprofits having a 501 (c) (3) status with the IRS, other than institutions of higher education, Nonprofits that do not have a 501 (c) (3) status with the IRS, other than institutions of higher education, Private institutions of higher education, For-profit organizations other than small businesses, Small businesses, Others.
Apply for RFA DA 24 009

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Frequently Asked Questions (FAQs)

What is the name of this funding opportunity?

The opportunity is titled "Leveraging Big Data Science to Elucidate the Mechanisms of HIV Activity and Interaction with Substance Use Disorder (R21 Clinical Trials Not Allowed)."

Which agency is offering this grant?

This is a National Institutes of Health (NIH) discretionary grant funding opportunity.

What is the FOA number for this opportunity?

The FOA number is RFA-DA-24-009.

What is the main goal of the program?

The core goal is to stimulate new, creative approaches for integrating and analyzing complex, heterogeneous datasets to better understand mechanisms of HIV activity and how those mechanisms intersect with substance use disorder (SUD), with an emphasis on generating insights that are difficult or impossible to obtain using traditional single-dataset or single-scale approaches.

What kinds of research approaches is NIH trying to encourage here?

The program is explicitly looking for modern computational, bioinformatics, statistical, and analytical methods that can integrate data across types (for example, clinical, behavioral, biological, molecular, imaging, or other high-dimensional data) and across scales (from cells and tissues to individuals and populations).

Is this opportunity focused on new data collection or existing data?

The description emphasizes computational and data-driven research that can include secondary analyses, method development, integrative modeling, or other non-trial designs that leverage existing or newly assembled datasets to produce mechanistic insight.

What does "big data science" mean in the context of this FOA?

In this FOA, "big data science" refers to advanced strategies for integrating and analyzing complex, heterogeneous, and often high-dimensional datasets (potentially spanning clinical, behavioral, biological, molecular, imaging, and other data) in ways that enable new mechanistic questions and previously inaccessible insights about HIV and SUD interactions.

What is the relationship between HIV and substance use disorder that this FOA wants to study?

The intent is to reveal mechanisms underlying HIV-related biological activity and how those mechanisms intersect with substance use disorder, potentially identifying pathways, interactions, or risk/response patterns that may be hidden without multi-dataset and multi-scale integration.

What grant mechanism is being used?

The award mechanism is an NIH R21.

What does an NIH R21 generally support?

An R21 is typically used for exploratory and early-stage projects that test novel ideas, develop new tools, or generate proof-of-concept results, rather than supporting large, long-term research programs.

Are clinical trials allowed under this FOA?

No. As stated in the title, clinical trials are not allowed.

What does "clinical trials not allowed" mean for project design?

Applicants should not propose studies that meet NIH's definition of a clinical trial, such as the prospective assignment of human participants to an intervention to evaluate its effects on health-related outcomes. The FOA is oriented toward computational and data-driven research that stays outside of clinical trial designs.

What kinds of projects might fit if clinical trials are not allowed?

Based on the description, projects may include secondary analyses, computational method development, integrative modeling, and other advanced analytic approaches that leverage existing or newly assembled datasets to generate mechanistic insights into HIV activity and its interaction with SUD.

What types of datasets are mentioned as relevant?

The FOA references complex, heterogeneous datasets spanning different types, including clinical, behavioral, biological, molecular, imaging, and other high-dimensional research data.

What does the FOA mean by integrating data across different "scales"?

It means linking and analyzing data that span levels of biological and population organization, ranging from cells and tissues to individuals and populations.

What is the funding ceiling for an award?

The award ceiling listed is $275,000.

Does the provided information state how many awards NIH expects to make?

No. The provided text notes that the notice does not spell out the exact number of expected awards, but it does communicate an individual award ceiling amount.

What are the activity categories associated with this opportunity?

The opportunity falls under the broad activity categories of education and health.

Which CFDA numbers are referenced?

The opportunity references CFDA numbers 93.279 and 93.879.

What are the key dates listed in the posting?

The posting includes a creation date of 2023-02-23 and an original closing date of 2023-08-10.

Who is eligible to apply?

Eligibility is broad and includes many institution and organization types, including various levels of government, educational institutions, tribal governments and organizations, public housing authorities/Indian housing authorities, nonprofit organizations (with or without 501(c)(3) status) that are not institutions of higher education, for-profit organizations other than small businesses, small businesses, and other eligible entities.

Are state, county, or local governments eligible?

Yes. State, county, and local governments are listed as eligible applicants.

Are colleges and universities eligible?

Yes. Eligible applicants include public and state-controlled institutions of higher education and private institutions of higher education.

Are tribal entities eligible?

Yes. Federally recognized Native American tribal governments are eligible, and tribal organizations that are not federally recognized are also included.

Are nonprofits eligible even if they do not have 501(c)(3) status?

Yes. The eligibility list includes nonprofit organizations with and without 501(c)(3) status (as long as they are not institutions of higher education, as described in the eligibility language provided).

Are for-profit organizations eligible?

Yes. For-profit organizations other than small businesses, as well as small businesses, are listed as eligible.

Are faith-based or community-based organizations eligible?

Yes. Faith-based or community-based organizations are highlighted among "other eligible applicants."

Are organizations in U.S. territories or possessions eligible?

Yes. U.S. territories or possessions are specifically mentioned among the "other eligible applicants."

Are foreign (non-U.S.) organizations eligible?

Yes. Non-U.S. (foreign) organizations are explicitly mentioned as eligible in the provided description.

Does this FOA encourage participation from institutions serving historically underrepresented populations?

Yes. The announcement highlights categories such as HBCUs, Hispanic-serving institutions, Tribally Controlled Colleges and Universities (TCCUs), and other serving institutions (for example, Alaska Native and Native Hawaiian Serving Institutions and AANAPISI institutions), signaling interest in proposals from a wide range of communities and organizational types.

What is the intended scientific impact of this program?

The intent is to catalyze advanced analytical capabilities and computational frameworks that can open up mechanistic understanding of HIV activity and its intersection with substance use disorder, producing insights relevant to addiction biology in the context of HIV.

Who is this FOA trying to bring into HIV and addiction science?

It is designed to bring data-focused and computational researchers into HIV and addiction science.

What is the practical emphasis of the projects supported by this FOA?

The practical emphasis is on developing or applying advanced data science strategies that make it possible to ask and answer questions that could not be addressed using traditional approaches limited to single datasets or single scales.

What is explicitly out of scope based on the information provided?

Clinical trials are out of scope. Projects should not include prospective assignment of human participants to an intervention to evaluate effects on health-related outcomes, as described in the NIH clinical trial definition referenced in the text.

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