Opportunity Information: Apply for RFA RM 22 023
Harnessing Data Science for Health Discovery and Innovation in Africa (DS-I Africa): Partnership for Innovation Research Projects is a National Institutes of Health (NIH) funding opportunity that supports data science and innovation-driven health research projects led by African institutions. It sits within a broader NIH Common Fund initiative focused on strengthening and expanding the role of data science in advancing health discovery and practical innovation across Africa. The award mechanism is a cooperative agreement (U01), which generally means the project is funded like a grant but with more substantial scientific or programmatic involvement from NIH compared to a standard research project grant. The opportunity is explicitly marked "Clinical Trial Not Allowed," so applicants are expected to propose research and development activities that do not meet NIH's definition of a clinical trial.
The emphasis of the program is on using data science approaches, along with engineering and biomedical insights, to generate new knowledge, tools, or methods that can improve health research and ultimately health outcomes in African contexts. The solicitation highlights that applications will be reviewed by panels requiring a broad mix of expertise, including data science, engineering, biomedical science, and global health, with attention to perspectives rooted in Africa. That is an important signal about what competitive applications likely need to demonstrate: not only technical novelty in analytics, computation, modeling, or data systems, but also clear relevance to health priorities and real-world constraints and opportunities in African settings.
From an eligibility standpoint, the opportunity is open to non-U.S. entities, including foreign organizations and foreign institutions, meaning African institutions can apply directly. At the same time, non-U.S. components of U.S. organizations are not eligible to apply as the applicant organization, which affects how U.S.-based institutions with overseas branches or units may participate. Foreign components (as NIH defines them in the NIH Grants Policy Statement) are allowed, which typically enables cross-border collaborations where appropriate, as long as the applicant organization meets the stated eligibility rules and the arrangement aligns with NIH policy.
Key administrative details include the funding opportunity number (RFA-RM-22-023), the activity category (Health), and the CFDA/Assistance Listing number (93.310). The original application due date listed for the opportunity was December 6, 2022, and the posting indicates an award ceiling of $250,000. The announcement also notes that the initiative has specific objectives and review criteria tied both to this RFA and to the larger DS-I Africa program, so applicants are expected to align their project design, outputs, and broader impact to those program-level goals rather than treating it as a generic data science research solicitation.Apply for RFA RM 22 023
- The National Institutes of Health in the health sector is offering a public funding opportunity titled "Harnessing Data Science for Health Discovery and Innovation in Africa (DS-I Africa): Partnership for Innovation Research Projects (U01 Clinical Trial Not Allowed)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.310.
- This funding opportunity was created on 2022-05-27.
- Applicants must submit their applications by 2022-12-06. (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 $250,000.00 in funding.
- Eligible applicants include: Others.
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FAQs: Harnessing Data Science for Health Discovery and Innovation in Africa (DS-I Africa): Partnership for Innovation Research Projects
What is this funding opportunity?
This opportunity is a National Institutes of Health (NIH) funding announcement titled "Harnessing Data Science for Health Discovery and Innovation in Africa (DS-I Africa): Partnership for Innovation Research Projects." It supports data science and innovation-driven health research projects that are led by African institutions and aligned with the broader DS-I Africa NIH Common Fund initiative.
What is the main goal of the program?
The program emphasizes using data science approaches, together with engineering and biomedical insights, to generate new knowledge, tools, or methods that strengthen health research and support practical innovation in African contexts. Projects are expected to be relevant to health priorities and real-world conditions in Africa.
Who is the funder?
The funder is the National Institutes of Health (NIH), and the opportunity sits within an NIH Common Fund initiative (DS-I Africa).
What type of award mechanism is used?
The award mechanism is a cooperative agreement (U01). This generally means the project is funded like a grant, but NIH will have more substantial scientific or programmatic involvement than it would under a standard research project grant.
Are clinical trials allowed under this opportunity?
No. The opportunity is explicitly marked "Clinical Trial Not Allowed." Applications should propose research and development activities that do not meet NIH's definition of a clinical trial.
What kinds of projects are a good fit based on the description?
Projects that apply data science methods (for example, analytics, computation, modeling, or data systems) in ways that advance health discovery and innovation in Africa. The description also stresses integrating engineering and biomedical perspectives and demonstrating relevance to health priorities and practical constraints in African settings.
What disciplines or expertise areas does the program emphasize?
The solicitation signals that applications will be reviewed by panels with broad expertise, including data science, engineering, biomedical science, and global health. It also notes attention to perspectives rooted in Africa, suggesting that strong applications should reflect African context and leadership.
Can African institutions apply directly?
Yes. The opportunity is open to non-U.S. entities, including foreign organizations and foreign institutions, which means African institutions can apply directly as the applicant organization (assuming they meet all stated eligibility rules).
Can U.S. institutions apply through their non-U.S. branches or components?
No. The information provided states that non-U.S. components of U.S. organizations are not eligible to apply as the applicant organization. This affects U.S.-based institutions that have overseas branches or units.
Are foreign components allowed in collaborations?
Yes. Foreign components (as NIH defines them in the NIH Grants Policy Statement) are allowed, which typically supports cross-border collaborations when appropriate, as long as the applicant organization meets eligibility requirements and the arrangement aligns with NIH policy.
What is the funding opportunity number?
The funding opportunity number is RFA-RM-22-023.
What is the activity category listed for this opportunity?
The activity category is Health.
What is the CFDA/Assistance Listing number?
The CFDA/Assistance Listing number is 93.310.
What is the application due date mentioned?
The original application due date listed is December 6, 2022.
What is the award ceiling stated in the posting?
The posting indicates an award ceiling of $250,000.
Does the program have objectives and review criteria beyond general data science research quality?
Yes. The announcement notes that the initiative has specific objectives and review criteria tied both to this RFA and to the larger DS-I Africa program. Applicants are expected to align project design, outputs, and broader impact with those program-level goals, rather than treating it as a generic data science research solicitation.
What should applicants keep in mind about competitiveness based on the review approach described?
The description suggests reviewers will look for both technical strength (novelty and rigor in analytics, computation, modeling, or data systems) and clear health relevance in African settings, including practical considerations and opportunities specific to local contexts, with meaningful perspectives rooted in Africa.
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