Opportunity Information: Apply for RFA AI 12 027
Apply for RFA AI 12 027
- The National Institutes of Health in the health sector is offering a public funding opportunity titled "OMICS Technologies For Predictive Modeling of Infectious Diseases (U19)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.855 Allergy and Infectious Diseases Research 93.856 Microbiology and Infectious Diseases Research.
- This funding opportunity was created on Jun 8, 2012 and posted on Jun 8, 2012.
- Applicants must submit their applications by Oct 8, 2012. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $13,000,000.00 to eligible and selected applicants.
- The number of recipients for this funding is limited to 4 candidate(s).
- Eligible applicants include: Private institutions of higher education County governments Public housing authorities/Indian housing authorities Independent school districts Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education Native American tribal organizations (other than Federally recognized tribal governments) Public and State controlled institutions of higher education City or township governments For profit organizations other than small businesses Special district governments Native American tribal governments (Federally recognized) State governments Small businesses Others (see text field entitled Additional Information on Eligibility for clarification) Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education.
- Other Eligible Applicants include the following Alaska Native and Native Hawaiian Serving Institutions Eligible Agencies of the Federal Government Faith based or Community based Organizations Hispanic serving Institutions Historically Black Colleges and Universities (HBCUs) Indian/Native American Tribal Governments (Other than Federally Recognized) Regional Organizations Tribally Controlled Colleges and Universities (TCCUs) U.S. Territory or Possession Non domestic (non U.S.) Entities (Foreign Institutions) are eligible to apply. Non domestic (non U.S.) components of U.S. Organizations are eligible to apply. Foreign components, as defined in the NIH Grants Policy Statement, are allowed.
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Opportunity Summary:
The OMICS Technologies For Predictive Modeling of Infectious Diseases (U19) funding opportunity (Funding Opportunity Number RFA-AI-12-027) is a National Institutes of Health cooperative agreement aimed at pushing infectious disease research beyond descriptive biology and toward practical prediction. The central goal is to develop and validate predictive models that can forecast how infections begin, how they progress over time, and what outcomes they produce. Rather than focusing on single genes or isolated pathways, the opportunity emphasizes a systems-wide view of infection that treats disease as an evolving interaction between host and pathogen, shaped by complex molecular networks that change over time and across tissues and individuals.
A core feature of the program is its reliance on integrated datasets generated by multiple "omics" technologies. In this context, omics broadly refers to large-scale molecular measurements such as genomics, transcriptomics, proteomics, metabolomics, epigenomics, and related high-throughput platforms. The intent is that applicants will combine these kinds of data to map and analyze host-pathogen molecular interaction networks, then use those network architectures and dynamics to build models with real predictive value. The language of the announcement highlights both structure ("architecture") and change over time ("dynamics"), signaling that successful projects are expected to capture not only which molecules interact during infection, but also how those interactions shift as infection is initiated, as it advances, and as clinical outcomes diverge. The predictive models are expected to be more than exploratory; they are to be validated, meaning the work should include rigorous testing of model performance, ideally using independent datasets, prospective validation approaches, or other strong evaluation strategies appropriate to the disease and data types.
The award mechanism is a U19 cooperative agreement, which generally indicates a multi-project, team-oriented structure with substantial NIH programmatic involvement. In practice, this mechanism is often used when the agency expects active coordination, milestone-driven progress, data and resource sharing, and collaboration across disciplines such as infectious disease biology, clinical research, computational modeling, statistics, and systems biology. Because the instrument is a cooperative agreement rather than a standard grant, applicants should anticipate closer interaction with NIH staff in areas like project oversight, harmonization of approaches, and alignment with broader program goals.
Financially, the opportunity listed an estimated total funding amount of $13,000,000 with an expected number of awards of 4, suggesting relatively large, competitive awards intended to support comprehensive, multi-component efforts. There is no cost sharing or matching requirement. The activity category is Health, and the program is associated with CFDA numbers 93.855 (Allergy and Infectious Diseases Research) and 93.856 (Microbiology and Infectious Diseases Research), reflecting its placement within NIH's infectious disease research mission space, particularly within the National Institute of Allergy and Infectious Diseases (NIAID).
Eligibility was intentionally broad and included a wide range of organizations: public and private institutions of higher education, nonprofit and for-profit organizations (other than small businesses are explicitly noted as eligible, and small businesses are also included), and various levels of government such as state, county, city/township, special district governments, and eligible federal agencies. The announcement also called out multiple categories of institutions and community organizations, including Historically Black Colleges and Universities (HBCUs), Hispanic-serving institutions, Alaska Native and Native Hawaiian-serving institutions, tribally controlled colleges and universities, faith-based or community-based organizations, and tribal governments (federally recognized and other than federally recognized). Importantly, non-U.S. entities were eligible to apply, and foreign components of U.S. organizations were allowed as defined under NIH policy. This breadth aligns with the reality that strong infectious disease modeling efforts often require diverse populations, varied clinical settings, and global collaborations, especially when pathogens and outbreaks do not respect borders.
Key dates indicate that the opportunity was posted and created on June 8, 2012, with an original and current closing date of October 8, 2012, and an archive date of November 8, 2012. While the announcement itself is archived, its description captures an NIH priority that remains relevant: building validated predictive models from integrated, high-dimensional molecular data to better anticipate infectious disease trajectories and outcomes. For applicants at the time, this would have implied proposing well-integrated experimental and computational plans, generating or leveraging multi-omics datasets, explicitly modeling host-pathogen interaction networks, and demonstrating a clear path to validation and real-world predictive performance.
For reference and full details, the funding announcement was hosted on the NIH grants site at http://grants.nih.gov/grants/guide/rfa-files/RFA-AI-12-027.html, and NIH Office of Extramural Research (OER) provided webmaster contact points for access and linking issues (FBOWebmaster@OD.NIH.GOV).
Frequently Asked Questions (FAQs)
What is the name of this funding opportunity?
The opportunity is titled OMICS Technologies For Predictive Modeling of Infectious Diseases (U19).
What is the Funding Opportunity Number (FON)?
The Funding Opportunity Number is RFA-AI-12-027.
What type of award mechanism is being used?
This opportunity uses a U19 cooperative agreement mechanism.
What does a U19 cooperative agreement generally imply for applicants?
A U19 typically supports a multi-project, team-oriented effort and involves substantial NIH programmatic involvement. Applicants should expect closer interaction with NIH staff around oversight, coordination, harmonization of approaches, milestone-driven progress, and alignment with broader program goals.
What is the central goal of the program?
The central goal is to develop and validate predictive models that can forecast how infections begin, how they progress over time, and what outcomes they produce.
How is this program different from studies focused on single genes or isolated pathways?
The program emphasizes a systems-wide view of infection, treating disease as an evolving interaction between host and pathogen shaped by complex molecular networks that change over time and across tissues and individuals, rather than focusing on a single molecular component.
What scientific approach is emphasized in this opportunity?
The opportunity emphasizes integrating data from multiple "omics" technologies to map and analyze host-pathogen molecular interaction networks, then using these network architectures and dynamics to build models with practical predictive value.
What does "omics" mean in this funding announcement?
In this context, "omics" refers to large-scale molecular measurements and high-throughput platforms, including examples such as genomics, transcriptomics, proteomics, metabolomics, epigenomics, and related technologies.
Are applicants expected to combine multiple omics data types?
Yes. The program relies on integrated datasets generated by multiple omics technologies, with the intent that applicants will combine these data types to support network analysis and predictive modeling.
What kinds of networks are applicants expected to study?
Applicants are expected to study host-pathogen molecular interaction networks, focusing on both their architecture (structure) and dynamics (how they change over time).
Does the program require capturing how infection changes over time?
Yes. The announcement highlights network dynamics, signaling that projects are expected to capture how molecular interactions shift as infection is initiated, as it advances, and as clinical outcomes diverge.
Are the predictive models expected to be validated, or can they be purely exploratory?
The models are expected to be validated, not purely exploratory. The work should include rigorous testing of model performance, ideally using independent datasets, prospective validation approaches, or other strong evaluation strategies appropriate to the disease and data types.
What is meant by moving beyond "descriptive biology" in this program?
The program aims to push infectious disease research beyond describing biological components and toward practical prediction, meaning models that can meaningfully forecast disease initiation, progression, and outcomes.
What is the estimated total funding amount for this opportunity?
The estimated total funding amount listed is $13,000,000.
How many awards were expected?
The opportunity listed an expected number of 4 awards.
Is cost sharing or matching required?
No. The announcement states there is no cost sharing or matching requirement.
What is the activity category for this opportunity?
The activity category is Health.
Which CFDA numbers are associated with this program?
The program is associated with CFDA numbers 93.855 (Allergy and Infectious Diseases Research) and 93.856 (Microbiology and Infectious Diseases Research).
Which NIH institute is this opportunity associated with?
Based on the infectious disease mission space and the RFA identifier, the opportunity is positioned within the National Institute of Allergy and Infectious Diseases (NIAID) context.
Who was eligible to apply?
Eligibility was broad and included public and private institutions of higher education, nonprofit and for-profit organizations (including small businesses), and multiple levels of government such as state, county, city/township, special district governments, and eligible federal agencies.
Are minority-serving institutions and community-based organizations included in the eligibility categories?
Yes. The announcement specifically called out organizations including HBCUs, Hispanic-serving institutions, Alaska Native and Native Hawaiian-serving institutions, tribally controlled colleges and universities, and faith-based or community-based organizations.
Are tribal governments eligible?
Yes. The announcement included tribal governments (federally recognized) and tribal governments (other than federally recognized) as eligible entities.
Are non-U.S. entities eligible to apply?
Yes. The announcement states that non-U.S. entities were eligible to apply.
Are foreign components of U.S. organizations allowed?
Yes. The announcement allows foreign components of U.S. organizations as defined under NIH policy.
When was the opportunity posted?
The opportunity was posted and created on June 8, 2012.
What was the closing date for applications?
The original and current closing date listed was October 8, 2012.
Is this funding opportunity still open?
No. The announcement is archived, with an archive date of November 8, 2012.
Where can the full funding announcement be found?
The funding announcement was hosted on the NIH grants site at: http://grants.nih.gov/grants/guide/rfa-files/RFA-AI-12-027.html
Is there a contact for access or linking issues related to the announcement?
NIH Office of Extramural Research (OER) provided a webmaster contact for access and linking issues: FBOWebmaster@OD.NIH.GOV.
What kinds of disciplines or expertise does this opportunity implicitly encourage?
Because the program centers on integrated omics datasets, host-pathogen network analysis, and validated predictive modeling under a cooperative agreement structure, it implicitly encourages collaboration across areas such as infectious disease biology, clinical research, computational modeling, statistics, and systems biology.
What sort of project scope does the funding level and award mechanism suggest?
The combination of an estimated $13,000,000 total funding level, an expected 4 awards, and a U19 cooperative agreement suggests relatively large, comprehensive, multi-component efforts that integrate experimental and computational work and support coordination and sharing expectations typical of cooperative agreements.
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