Opportunity Information: Apply for RFA DA 16 009
Apply for RFA DA 16 009
- The HHS-NIH11 in the education, environment, health, income security and social services sector is offering a public funding opportunity titled "NIH Blueprint Training in Computational Neuroscience: From Biology to Model and Back Again (T90/R90)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.113, 93.121, 93.213, 93.242, 93.273, 93.279, 93.286, 93.361, 93.853, 93.865, 93.866, 93.867,.
- This funding opportunity was created on Jan 13, 2016 and posted on Jan 13, 2016.
- Applicants must submit their applications by Mar 18, 2016. (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 $500,000.00 in funding.
- Eligible applicants include: State governments, 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.
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Opportunity Summary:
The NIH Blueprint Training in Computational Neuroscience: From Biology to Model and Back Again (T90/R90) grant opportunity (RFA-DA-16-009) is a discretionary NIH training initiative designed to build a strong pipeline of scientists who can work comfortably across both experimental neuroscience and computational approaches. It sits under the NIH Blueprint for Neuroscience Research, a coordinated effort spanning 13 NIH Institutes and Centers, and its central purpose is to speed progress in neuroscience by supporting training programs that are genuinely interdisciplinary rather than siloed into either wet-lab biology or purely theoretical modeling.
This FOA supports integrated research education and research training programs at two key stages: undergraduate and predoctoral. The intent is to create structured programs that teach trainees how to move back and forth between biological questions and computational methods, meaning they are trained to take observations from neural systems, translate them into quantitative or mechanistic models, and then use those models to guide new experiments or refine hypotheses. In practice, programs funded under this mechanism are expected to blend hands-on experimental neuroscience with training in the theoretical and technological toolkit of computational neuroscience, which can include areas like modeling, data analysis, and computation-driven hypothesis testing.
The funding mechanism is a T90/R90, which is commonly used by NIH to support linked education (often more curriculum- and program-structure focused) and research training components (often more trainee- and mentored-research focused) within one coordinated program. The overall emphasis is on creating a coherent training environment, not just funding individual students. While the opportunity summary provided does not list all program requirements, the core message is that NIH is looking for programs that can credibly train researchers who understand both the biology of the nervous system and the computational methods needed to analyze, model, and interpret complex neural data.
Eligible applicants are broad and include state governments, public and state-controlled institutions of higher education, federally recognized Native American tribal governments, public housing/Indian housing authorities, other Native American tribal organizations, and nonprofits both with and without 501(c)(3) status (as long as they are not institutions of higher education in those nonprofit categories). The sponsoring agency is the U.S. Department of Health and Human Services, National Institutes of Health (listed as HHS-NIH11). The FOA is associated with multiple CFDA numbers (93.113, 93.121, 93.213, 93.242, 93.273, 93.279, 93.286, 93.361, 93.853, 93.865, 93.866, 93.867), reflecting the Blueprint’s cross-institute participation and the multi-institute nature of the initiative.
Key administrative details from the source include an original and current closing date of March 18, 2016, with a posted and creation date of January 13, 2016. The award ceiling is listed as $500,000. The number of expected awards is not specified in the provided data. Overall, the opportunity is best understood as NIH Blueprint support for institutions or organizations that can deliver a coordinated, high-quality training pathway producing computationally fluent neuroscientists who can connect biological experiments with modeling and advanced quantitative approaches.
FAQs: NIH Blueprint Training in Computational Neuroscience: From Biology to Model and Back Again (T90/R90) (RFA-DA-16-009)
What is this grant opportunity?
This opportunity is the NIH Blueprint Training in Computational Neuroscience: From Biology to Model and Back Again (T90/R90) funding opportunity announcement (FOA) with identifier RFA-DA-16-009. It is a discretionary NIH training initiative intended to build a strong pipeline of scientists who can work across experimental neuroscience and computational approaches.
What is the main goal of the program?
The central goal is to speed progress in neuroscience by supporting training programs that are genuinely interdisciplinary, rather than separated into wet-lab biology on one side and purely theoretical modeling on the other. The focus is on preparing researchers who can connect biological experiments with modeling, data analysis, and computation-driven hypothesis testing.
What is the NIH Blueprint for Neuroscience Research?
The NIH Blueprint for Neuroscience Research is a coordinated effort spanning 13 NIH Institutes and Centers. This FOA sits under the Blueprint umbrella and reflects a cross-institute approach to advancing neuroscience through shared initiatives like interdisciplinary training.
What kinds of programs does this FOA support?
The FOA supports integrated research education and research training programs. The emphasis is on structured, coordinated programs that create a coherent training environment, rather than simply funding individual students without an integrated program structure.
At what trainee stages does the FOA focus?
The FOA focuses on two stages: undergraduate and predoctoral training. Programs are expected to provide integrated experiences appropriate to these training levels.
What does "From Biology to Model and Back Again" mean in practice?
It means trainees should be taught to move back and forth between biological questions and computational methods: taking observations from neural systems, translating them into quantitative or mechanistic models, and then using those models to guide new experiments or refine hypotheses.
What scientific areas are included under computational neuroscience training in this FOA?
The description highlights computational neuroscience toolkits that can include modeling, data analysis, and computation-driven hypothesis testing, paired with hands-on experimental neuroscience training.
What is the T90/R90 mechanism?
T90/R90 is an NIH mechanism commonly used to support linked components within one coordinated program: an education-oriented component (often focused on curriculum and program structure) and a research training component (often focused on mentored research and trainee development). The intent is to support an integrated training environment.
Is the emphasis on individual trainee funding or on building a program?
The emphasis is on creating a coherent training environment through a coordinated program. The FOA is framed as supporting programs that can credibly train interdisciplinary computational neuroscientists, not simply supporting isolated individuals.
Who is the sponsoring agency?
The sponsoring agency is the U.S. Department of Health and Human Services, National Institutes of Health (listed as HHS-NIH11).
Who is eligible to apply?
Eligible applicants include: state governments; public and state-controlled institutions of higher education; federally recognized Native American tribal governments; public housing/Indian housing authorities; other Native American tribal organizations; and nonprofits with or without 501(c)(3) status (in the nonprofit categories noted, as long as they are not institutions of higher education).
Are nonprofits eligible even if they do not have 501(c)(3) status?
Yes. The provided eligibility description states that nonprofits are eligible both with and without 501(c)(3) status, with the caveat noted that these nonprofit categories are eligible as long as they are not institutions of higher education.
What is the award ceiling?
The award ceiling is listed as $500,000.
How many awards will be made?
The number of expected awards is not specified in the provided information.
What are the key dates for this FOA?
The posted and creation date is January 13, 2016. The original and current closing date is March 18, 2016.
What does it mean that this is a discretionary NIH training initiative?
Based on the description provided, "discretionary" signals that this is a targeted NIH training initiative under the NIH Blueprint, designed specifically to strengthen interdisciplinary training capacity in computational neuroscience.
What CFDA numbers are associated with this FOA?
The FOA is associated with multiple CFDA numbers: 93.113, 93.121, 93.213, 93.242, 93.273, 93.279, 93.286, 93.361, 93.853, 93.865, 93.866, and 93.867. This reflects the multi-institute participation and cross-institute nature of the NIH Blueprint.
Why are there multiple CFDA numbers listed?
The information provided explains that the multiple CFDA numbers reflect the Blueprint's cross-institute participation and the multi-institute nature of the initiative.
What kind of outcomes is NIH looking for from funded programs?
The FOA is oriented toward producing computationally fluent neuroscientists who can connect biological experiments with modeling and advanced quantitative approaches, and who can integrate experimental observations with computational interpretation and hypothesis refinement.
What is the overall "best understanding" of the opportunity based on the summary provided?
It is NIH Blueprint support for institutions or organizations capable of delivering a coordinated, high-quality training pathway that produces scientists comfortable working across experimental neuroscience and computational modeling/data analysis, and able to translate between biology and computational approaches.
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