Leveraging Big Data Science to Elucidate the Mechanisms of HIV Activity and Interaction with Substance Use Disorder (R21 - Clinical Trials Not Allowed) | RFA DA 21 041

Opportunity Information: Apply for RFA DA 21 041

The National Institutes of Health (NIH) grant opportunity titled "Leveraging Big Data Science to Elucidate the Mechanisms of HIV Activity and Interaction with Substance Use Disorder" (Funding Opportunity Number RFA-DA-21-041) is an R21 research grant designed to pull more data-driven and computational expertise into the HIV and addiction research space. Its core aim is to encourage investigators to create and apply new big-data methods that can connect and analyze information that is currently difficult to combine, such as datasets that differ in format, scale, timing, or biological level. The emphasis is on developing novel computational, bioinformatics, statistical, and analytical approaches that make it possible to ask questions that standard approaches cannot handle well, with the expectation that these advances will uncover previously inaccessible insights into addiction biology and its relationship to HIV activity.

A major theme of the announcement is integration across data types and scales. In practice, that means proposals are expected to go beyond analyzing a single dataset in isolation and instead introduce creative ways to link heterogeneous sources of information, potentially spanning molecular or omics data, clinical and behavioral measures, epidemiological and population-level data, and other complex data streams. The scientific motivation behind this is that HIV outcomes and substance use disorders often involve multi-level mechanisms and interacting factors, so more powerful integration and modeling strategies could reveal new mechanistic patterns, pathways, or signatures that are missed when data remain siloed. The FOA is essentially a call for methodological innovation that enables new forms of analysis rather than only incremental improvements on existing pipelines.

This opportunity uses the NIH R21 mechanism and is explicitly labeled "Clinical Trials Not Allowed," meaning the supported work should not include running clinical trials. Instead, the grant is meant for exploratory, early-stage projects that propose bold or high-impact computational strategies, including proof-of-concept demonstrations, development of new analytic frameworks, or validation of novel models using existing or appropriately collected non-trial data resources. The intended payoff is a clearer picture of how HIV activity and substance use disorder interact biologically and clinically, achieved through advanced data science rather than interventional clinical testing.

Eligibility for this funding opportunity is broad and includes many types of organizations. Eligible applicants listed include state, county, city or township 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; Native American tribal organizations that are not federally recognized tribal governments; public housing authorities and Indian housing authorities; nonprofits with or without 501(c)(3) status (other than institutions of higher education); for-profit organizations (other than small businesses); small businesses; and other categories. The announcement also highlights additional eligible applicant types such as Alaska Native and Native Hawaiian Serving Institutions; Asian American, Native American, and Pacific Islander Serving Institutions (AANAPISIs); eligible federal agencies; faith-based or community-based organizations; Hispanic-serving institutions; historically Black colleges and universities (HBCUs); Indian/Native American tribal governments other than federally recognized; non-U.S. entities (foreign organizations); regional organizations; tribally controlled colleges and universities (TCCUs); and U.S. territories or possessions. This wide eligibility scope signals an intent to bring in diverse institutional perspectives and technical talent, including groups that may be positioned to contribute unique datasets, community knowledge, or specialized computational capabilities.

From an administrative standpoint, the opportunity is categorized as discretionary funding and uses the grant funding instrument type. The funding activity category is listed under education and health, and the CFDA number provided is 93.279. The original closing date for applications was February 9, 2021, and the opportunity record indicates a creation date of December 28, 2020. While the provided listing does not specify an award ceiling or the expected number of awards, the main takeaway is that the program is structured to support exploratory, method-forward research that can meaningfully advance how complex HIV and substance use disorder data are integrated and analyzed.

Overall, this FOA is best understood as a targeted push to accelerate discovery by improving the tools and strategies used to learn from complex, multi-source datasets. The NIH is looking for proposals that use big data science to bridge gaps between different kinds of information, enabling analyses that can clarify biological mechanisms and interactions linking HIV activity with substance use disorder, without conducting clinical trials as part of the proposed work.

• 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.
• This funding opportunity was created on 2020-12-28.
• Applicants must submit their applications by 2021-02-09. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
• 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 21 041

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