Opportunity Information: Apply for RFA GM 14 011
Apply for RFA GM 14 011
- The National Institutes of Health in the health sector is offering a public funding opportunity titled "Modeling the Scientific Workforce (U01)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.859 Biomedical Research and Research Training.
- This funding opportunity was created on Dec 10, 2013 and posted on Dec 10, 2013.
- Applicants must submit their applications by Feb 4, 2014. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $1,000,000.00 to eligible and selected applicants.
- Each selected applicant is eligible to receive up to $250,000.00 in funding.
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education County governments Others (see text field entitled Additional Information on Eligibility for clarification) City or township governments Private institutions of higher education Small businesses Native American tribal organizations (other than Federally recognized tribal governments) Public housing authorities/Indian housing authorities State governments Native American tribal governments (Federally recognized) Independent school districts Special district governments Public and State controlled institutions of higher education For profit organizations other than small businesses Nonprofits that do not have 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 Asian American Native American Pacific Islander Serving Institutions (AANAPISISs) 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 not eligible to apply. Non domestic (non U.S.) components of U.S. Organizations are not eligible to apply. Foreign components, as defined in the NIH Grants Policy Statement, are not allowed.
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Opportunity Summary:
The National Institutes of Health (NIH) released this discretionary funding opportunity, RFA-GM-14-011, titled "Modeling the Scientific Workforce (U01)," to support the development of computational models that can explain and predict how the United States scientific workforce evolves over time. The core aim is to move beyond descriptive statistics and create modeling approaches that capture workforce dynamics such as entry into research careers, training and career progression, transitions between sectors or roles, and attrition. NIH is looking for models that can help decision-makers understand the consequences of different assumptions and policy choices, and that can be used as practical tools for planning and managing research training and workforce-related programs.
The opportunity uses a cooperative agreement mechanism (U01), which generally means the project is expected to involve substantial interaction with NIH staff during the life of the award. In practice, that typically signals an emphasis on delivering a usable modeling framework and maintaining alignment with NIH program needs, rather than operating as a purely investigator-directed research grant. The FOA highlights several intended uses for the resulting models: informing program development and management within NIH, helping to surface and prioritize questions that require additional research, and guiding what data should be collected or analyzed to answer those questions more effectively. In other words, NIH is funding work that can both generate insights now and shape future evidence-building efforts by identifying data gaps and proposing ways to fill them.
Funding for this announcement was relatively small and targeted. NIH anticipated making a single award, with an estimated total funding amount of $1,000,000. The award ceiling was listed as $250,000 (commonly interpreted as a per-year cap, depending on project period and budget structure), and there was no cost sharing or matching requirement. The activity category is health, and the relevant CFDA number is 93.859 (Biomedical Research and Research Training), which is consistent with NIH efforts focused on the biomedical research enterprise and its supporting pipeline.
Eligibility was broad across U.S.-based organizational types, including public and private institutions of higher education, nonprofits (both 501(c)(3) and non-501(c)(3) categories), for-profit organizations (including small businesses and other for-profits), and multiple levels of government entities such as state, county, city/township, special district governments, and certain housing authorities. The FOA also explicitly included a wide range of mission-focused and designated institution types and organizations, such as Historically Black Colleges and Universities (HBCUs), Hispanic-Serving Institutions, Tribally Controlled Colleges and Universities (TCCUs), Alaska Native and Native Hawaiian Serving Institutions, and Asian American and Native American Pacific Islander Serving Institutions (AANAPISIs), along with faith-based and community-based organizations, regional organizations, U.S. territories or possessions, and eligible federal agencies. At the same time, the announcement clearly excluded non-U.S. entities: foreign institutions could not apply, non-U.S. components of U.S. organizations were not eligible, and foreign components were not allowed under NIH policy definitions for this FOA.
Key administrative dates show this as a time-limited, archived opportunity. It was posted and created on December 10, 2013, with an original and current closing date of February 4, 2014, and it was archived on March 7, 2014. The sponsoring agency is NIH, and the full announcement was provided through an NIH grants guide link. For access or technical issues, the listed point of contact was the NIH Office of Extramural Research (OER) webmaster.
Overall, this grant opportunity was designed for teams capable of building rigorous, policy-relevant computational workforce models tied to the realities of the U.S. scientific and biomedical research ecosystem. The emphasis was on producing modeling tools and evidence that NIH could use to understand workforce behavior, test scenarios, improve program management, and make smarter decisions about what data to collect next to reduce uncertainty in future workforce planning.
Frequently Asked Questions (FAQs)
What is the funding opportunity called and what is its identifier?
The opportunity is titled "Modeling the Scientific Workforce (U01)" and the Funding Opportunity Announcement (FOA) identifier is RFA-GM-14-011.
Which federal agency is sponsoring this opportunity?
The sponsoring agency is the National Institutes of Health (NIH).
What is the main purpose of this grant?
The core purpose is to support the development of computational models that can explain and predict how the United States scientific workforce evolves over time. The intent is to move beyond descriptive statistics and toward modeling approaches that capture key workforce dynamics.
What kinds of workforce dynamics are the models expected to address?
The FOA highlights modeling workforce dynamics such as entry into research careers, training and career progression, transitions between sectors or roles, and attrition from the workforce.
Why is NIH funding modeling work rather than descriptive analysis?
NIH is looking for models that can help decision-makers understand likely consequences of different assumptions and policy choices. The emphasis is on practical, predictive frameworks that can be used for planning and management, not just summarizing past trends.
How does NIH expect to use the resulting models?
The FOA describes several intended uses: informing NIH program development and management, helping surface and prioritize workforce questions that require additional research, and guiding what data should be collected or analyzed to answer those questions more effectively.
What does the U01 mechanism mean for this opportunity?
This FOA uses a cooperative agreement mechanism (U01). In general, that indicates substantial interaction with NIH staff during the life of the award and an expectation of maintaining alignment with NIH program needs while delivering a usable modeling framework.
Is this award intended to be a large multi-award program?
No. Funding was described as relatively small and targeted, and NIH anticipated making a single award.
What is the estimated total funding amount for this FOA?
NIH estimated a total funding amount of $1,000,000 for this announcement.
What is the award ceiling?
The award ceiling was listed as $250,000. The FOA information commonly leads applicants to interpret this as a per-year cap depending on project period and budget structure, but the figure provided in the opportunity summary is $250,000.
Is cost sharing or matching required?
No. The opportunity states there is no cost sharing or matching requirement.
What is the activity category for this opportunity?
The activity category is health.
What CFDA number is associated with this opportunity?
The CFDA number listed is 93.859, "Biomedical Research and Research Training."
Who is eligible to apply?
Eligibility is broad across U.S.-based organizational types. It includes public and private institutions of higher education, nonprofit organizations (including 501(c)(3) and non-501(c)(3)), for-profit organizations (including small businesses and other for-profits), and various government entities (state, county, city/township, special district governments, and certain housing authorities).
Are designated institution types (like HBCUs or HSIs) included in the eligible applicants?
Yes. The FOA explicitly includes a wide range of mission-focused and designated institution types and organizations, including Historically Black Colleges and Universities (HBCUs), Hispanic-Serving Institutions, Tribally Controlled Colleges and Universities (TCCUs), Alaska Native and Native Hawaiian Serving Institutions, and Asian American and Native American Pacific Islander Serving Institutions (AANAPISIs).
Are faith-based and community-based organizations eligible?
Yes. The eligibility list explicitly includes faith-based and community-based organizations.
Are U.S. territories or possessions included as eligible applicants?
Yes. The FOA includes U.S. territories or possessions in the eligibility language.
Are federal agencies eligible to apply?
Yes. The eligibility list includes eligible federal agencies.
Are foreign institutions allowed to apply?
No. The announcement excludes non-U.S. entities. Foreign institutions could not apply.
Can a U.S. organization apply if the work is conducted by a non-U.S. component?
No. Non-U.S. components of U.S. organizations were not eligible under this FOA.
Are foreign components allowed under NIH policy for this FOA?
No. Foreign components were not allowed under NIH policy definitions for this FOA.
When was this opportunity posted?
It was posted (and created) on December 10, 2013.
What was the application closing date?
The original and current closing date listed was February 4, 2014.
Is this opportunity still open?
No. It is a time-limited, archived opportunity. It was archived on March 7, 2014.
Where was the full announcement provided?
The full announcement was provided through an NIH Grants Guide link (as referenced in the opportunity description).
Who was listed as the point of contact for access or technical issues?
The listed point of contact for access or technical issues was the NIH Office of Extramural Research (OER) webmaster.
What kind of teams is this opportunity best suited for?
Based on the stated goals, it is best suited for teams capable of building rigorous, policy-relevant computational workforce models grounded in the realities of the U.S. scientific and biomedical research ecosystem and oriented toward usable planning and decision-support tools.
What is the practical output NIH appears to be seeking?
The FOA emphasizes producing modeling tools and evidence that NIH can use to understand workforce behavior, test scenarios, improve program management, and make more informed choices about what data to collect next to reduce uncertainty in future workforce planning.
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