Opportunity Information: Apply for 11 505
Apply for 11 505
- The National Science Foundation in the science and technology and other research and development sector is offering a public funding opportunity titled "Collaborative Research in Computational Neuroscience" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 47.041 Engineering Grants 47.049 Mathematical and Physical Sciences 47.070 Computer and Information Science and Engineering 47.074 Biological Sciences 47.075 Social, Behavioral, and Economic Sciences 47.079 Office of International Science and Engineering 47.080 Office of Cyberinfrastructure 93.173 Research Related to Deafness and Communication Disorders 93.213 Research and Training in Complementary and Integrative Health 93.242 Mental Health Research Grants 93.273 Alcohol Research Programs 93.279 Drug Abuse and Addiction Research Programs 93.286 Discovery and Applied Research for Technological Innovations to Improve Human Health 93.853 Extramural Research Programs in the Neurosciences and Neurological Disorders 93.865 Child Health and Human Development Extramural Research 93.867 Vision Research.
- This funding opportunity was created on Jan 6, 2012 and posted on Nov 10, 2010.
- Applicants must submit their applications by Nov 2, 2012 Full Proposal Deadline(s) November 02, 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 $20,000,000.00 to eligible and selected applicants.
- The number of recipients for this funding is limited to 25 candidate(s).
- Eligible applicants include: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled Additional Information on Eligibility.
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Opportunity Summary:
The Collaborative Research in Computational Neuroscience (CRCNS) grant opportunity is a joint funding effort designed to support cross-disciplinary teams working at the intersection of neuroscience, computer science, mathematics, engineering, and related fields. The core goal is to advance understanding of how nervous systems are built and how they function, using computational theory, modeling, and data-driven methods. The program also explicitly encourages work that sheds light on mechanisms underlying nervous system disorders and on the computational principles and strategies that biological nervous systems use to process information, learn, and adapt. It is structured around the idea that major progress in neuroscience often requires collaborative projects that combine experimental data, computational modeling, and sophisticated analytical approaches.
This solicitation is supported by multiple participating organizations, primarily the National Science Foundation (NSF) and the National Institutes of Health (NIH), along with an international component involving Germanys Federal Ministry of Education and Research (BMBF). Because multiple agencies participate, the scientific scope is intentionally broad and can align with many different research areas represented across NSF and NIH programs, including engineering, mathematical and physical sciences, computer and information science, biological sciences, social and behavioral sciences, and several NIH neuroscience and health-related portfolios. Applicants are expected to align their project aims with the mission and interests of the most relevant participating organization, and the solicitation encourages prospective teams to contact the appropriate agency program staff listed in the announcement for guidance on fit, emphasis, and relevance before submission.
CRCNS accepts three main types of proposals. First are standard Research Proposals, which describe collaborative research projects that typically integrate computational methods with neuroscientific questions and data. Second are US-German Research Proposals, which support international collaborations in which US and German investigators work in parallel, with funding provided by the respective agencies on each side (US agencies funding the US team and BMBF funding the German team). Third are Data Sharing Proposals, which focus on enabling broader community access to valuable datasets and other research resources, recognizing that shared data, tools, and infrastructure can accelerate discovery and improve reproducibility across the field.
From an administrative and funding perspective, this is a discretionary grant opportunity in the science and technology research and development category. The estimated total funding listed is $20,000,000, with an expectation of around 25 awards. A cost sharing or matching requirement is indicated, meaning applicants need to pay close attention to the solicitation text to understand what cost sharing is required, allowable, or expected and under what conditions. Eligibility is described as unrestricted, broadly open to any type of entity, although applicants still need to follow any additional eligibility clarifications that may be included in the full solicitation. The opportunity was originally posted on November 10, 2010, and lists multiple full proposal deadlines across cycles, with the most recent deadline shown as November 2, 2012, reflecting a multi-year window for submissions under this publication.
Overall, CRCNS is aimed at teams that can bring computational rigor to complex questions about the nervous system, whether through modeling, theory, machine learning and statistical approaches, analysis of large-scale neural data, or development of computational frameworks that connect neural structure to function and behavior. It also supports efforts that make the field more collaborative and efficient through data and resource sharing. For applicants, the most important practical step is to shape the project around a clearly defined neuroscience problem where computational methods are essential, build a collaborative team with complementary expertise, and confirm alignment with the relevant NSF, NIH, or BMBF program priorities using the contact list provided in the solicitation (NSF Publication 11-505).
Frequently Asked Questions (FAQs): Collaborative Research in Computational Neuroscience (CRCNS)
What is the Collaborative Research in Computational Neuroscience (CRCNS) program?
CRCNS is a joint grant opportunity designed to fund cross-disciplinary research teams working at the intersection of neuroscience and computational disciplines. The program aims to advance understanding of how nervous systems are built and how they function by using computational theory, modeling, and data-driven approaches, often in close connection with experimental data.
What is the main goal of CRCNS?
The core goal is to deepen scientific understanding of nervous system structure and function using computational methods. The solicitation also encourages research that helps explain mechanisms underlying nervous system disorders and clarifies the computational principles biological nervous systems use to process information, learn, and adapt.
What kinds of research does CRCNS emphasize?
CRCNS emphasizes research where computational rigor is central to solving neuroscience questions. Examples of encouraged approaches include computational theory, modeling, machine learning and statistical methods, analysis of large-scale neural data, and computational frameworks that connect neural structure to function and behavior. Projects are often collaborative and integrate experimental data with advanced computation and analytics.
Why is CRCNS described as collaborative and cross-disciplinary?
The program is structured around the idea that major progress in neuroscience often requires teams that combine complementary expertise. CRCNS is intended for projects that bring together experimental neuroscience, computational modeling, and sophisticated analytical approaches in a coordinated collaborative effort.
Which organizations participate in CRCNS?
The solicitation is supported by multiple participating organizations, primarily the National Science Foundation (NSF) and the National Institutes of Health (NIH). There is also an international collaboration component involving Germanys Federal Ministry of Education and Research (BMBF).
How broad is the scientific scope of CRCNS?
Because multiple agencies participate, the scientific scope is intentionally broad and may align with many research areas represented across NSF and NIH programs. The opportunity can connect to fields such as engineering, mathematical and physical sciences, computer and information science, biological sciences, social and behavioral sciences, and NIH neuroscience and other health-related portfolios.
How should applicants decide whether their project is a good fit?
Applicants are expected to align their project aims with the mission and interests of the most relevant participating organization. The solicitation encourages prospective teams to contact the appropriate agency program staff listed in the announcement to discuss fit, emphasis, and relevance before submitting.
What are the main types of proposals accepted under CRCNS?
CRCNS accepts three main proposal types: (1) Research Proposals, (2) US-German Research Proposals, and (3) Data Sharing Proposals.
What is a standard CRCNS Research Proposal?
A Research Proposal describes a collaborative research project that typically integrates computational methods with neuroscientific questions and data. These proposals commonly combine modeling and theory with experimental datasets and advanced analyses.
What is a US-German Research Proposal?
US-German Research Proposals support international collaborations where US and German investigators work in parallel. Funding is provided by the respective agencies: US agencies support the US team, while BMBF supports the German team.
How does funding work for the US and German teams in a US-German collaboration?
The US and German parts of the collaboration are funded by their respective funders. The US side is funded through the participating US agencies (such as NSF and/or NIH), and the German side is funded by BMBF.
What is a Data Sharing Proposal under CRCNS?
Data Sharing Proposals focus on enabling broader community access to valuable datasets and other research resources. The program recognizes that sharing data, tools, and infrastructure can accelerate discovery and strengthen reproducibility in computational neuroscience.
What is the grant category or type for CRCNS?
CRCNS is described as a discretionary grant opportunity in the science and technology research and development category.
How much funding is available through CRCNS?
The estimated total funding listed for the opportunity is $20,000,000.
How many awards does CRCNS expect to make?
The opportunity indicates an expectation of around 25 awards.
Is cost sharing or matching required for CRCNS?
A cost sharing or matching requirement is indicated. Applicants should closely review the solicitation text to understand what cost sharing is required, allowable, or expected, and under what conditions.
Who is eligible to apply for CRCNS?
Eligibility is described as unrestricted and broadly open to any type of entity. Applicants should still follow any additional eligibility clarifications that may be included in the full solicitation.
When was the CRCNS opportunity posted?
The opportunity was originally posted on November 10, 2010.
What are the proposal deadlines for CRCNS?
The listing references multiple full proposal deadlines across cycles. The most recent deadline shown is November 2, 2012, reflecting a multi-year window for submissions under this publication.
What solicitation number is associated with CRCNS?
The program is referenced as NSF Publication 11-505.
What practical steps are highlighted for a strong CRCNS application?
The solicitation emphasizes shaping the project around a clearly defined neuroscience problem where computational methods are essential, assembling a collaborative team with complementary expertise, and confirming alignment with relevant NSF, NIH, or BMBF priorities by contacting agency program staff listed in the solicitation.
Does CRCNS support research related to nervous system disorders?
Yes. The program explicitly encourages work that sheds light on mechanisms underlying nervous system disorders, alongside work focused on fundamental structure, function, and information-processing principles.
What role do experimental data and analytical methods play in CRCNS projects?
CRCNS is built around the idea that combining experimental data, computational modeling, and sophisticated analytical approaches can drive major advances. Many CRCNS projects are expected to integrate these components in a coordinated way.
Can CRCNS support projects focused on computational principles of learning and adaptation?
Yes. The solicitation explicitly encourages research on the computational principles and strategies that biological nervous systems use to process information, learn, and adapt.
Does CRCNS encourage projects that improve reproducibility and community access to research resources?
Yes. Data Sharing Proposals are specifically aimed at expanding community access to important datasets and resources, with the intent of accelerating discovery and improving reproducibility across the field.
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