Opportunity Information: Apply for PD 12 7334

  • The National Science Foundation in the science and technology and other research and development sector is offering a public funding opportunity titled "Mathematical Biology" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 47.049 Mathematical and Physical Sciences.
  • This funding opportunity was created on Feb 18, 2015 and posted on May 14, 2012.
  • Applicants must submit their applications by Nov 16, 2015. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
  • The number of recipients for this funding is limited to 30 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.
Apply for PD 12 7334

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Opportunity Summary:

The National Science Foundation (NSF) Mathematical Biology Program (Funding Opportunity Number PD 12 7334) is a discretionary research grant opportunity that funds mathematically driven work with clear relevance to the biological sciences. At its core, the program is looking for proposals that do more than apply standard methods to biological data or systems. Competitive projects are expected to be mathematically innovative, meaning they introduce new theory, new modeling frameworks, or new computational and statistical approaches, and they tackle biological questions that are genuinely important to biologists. The emphasis is on research that advances applied and computational mathematics while also engaging directly with challenging biological problems, so the mathematics and the biology should meaningfully inform each other rather than sitting side by side.

A key feature of this program is how it fits within NSF's Division of Mathematical Sciences (DMS). Mathematical Biology overlaps with several DMS disciplinary programs, including areas that might traditionally be categorized under topology, probability, statistics, computation, and other branches of modern mathematics. If a proposal clearly aligns with one of those disciplinary programs, NSF advises applicants to submit to the most relevant disciplinary program, typically choosing the one with the earliest deadline, and then request co-review by Mathematical Biology as a secondary program. This is important because the review process depends heavily on timing and routing: proposals that belong in more than one place can be co-reviewed, but only if they arrive early enough to be included in all the relevant programs' review cycles. If timing does not work, NSF notes that a proposal might be reviewed by only a subset of programs or, in some cases, returned without review.

The program also draws a boundary around what it does not generally support within DMS pathways. Proposals that mainly use established mathematical, statistical, or computational tools to address biological questions, without pushing the mathematics forward in a significant way, are typically not considered a good fit for the DMS disciplinary programs. In other words, simply applying standard models or off-the-shelf methods to biological systems may not meet the bar for these mathematics-oriented review tracks, even if the biology is compelling. The Mathematical Biology Program is positioned for projects where new mathematical ideas, methods, or frameworks are part of the intellectual contribution.

Another major point is the program's strong cross-directorate footprint. Mathematical Biology interacts with all divisions in NSF's Directorate for Biological Sciences and also overlaps with multiple divisions in the Directorate for Engineering. Joint reviews are common, and NSF explicitly encourages investigators to talk with program officers on both the mathematics side and the relevant biology or engineering side to determine the best submission route and whether co-review makes sense. Practically speaking, this means applicants should treat the program as inherently interdisciplinary and should plan for a proposal narrative and team expertise that can satisfy both mathematical rigor and biological significance.

From an administrative standpoint, this is a grant mechanism under the broad category of Science and Technology and other Research and Development, with no cost sharing or matching requirement. The opportunity listed an expected 30 awards and is associated with CFDA number 47.049 (Mathematical and Physical Sciences). Eligibility is described as unrestricted (open to any type of entity), subject to any clarifications in the full announcement materials. The posting information indicates the opportunity was originally posted May 14, 2012, with an annual submission window listed around November 1 to November 15 (due by 5 p.m. local time), and historical dates show it later closed and was ultimately archived December 16, 2020. For applicants navigating access or technical issues with the announcement, NSF directs users to Grants.gov support at grantsgovsupport@nsf.gov.

Overall, the opportunity is best understood as funding for research that advances mathematics in ways that matter for biology, with careful attention to where and when a proposal is submitted inside NSF to ensure it reaches the right reviewers and is considered for co-review when appropriate.

NSF Mathematical Biology Program (PD 12 7334) - Frequently Asked Questions

What is the NSF Mathematical Biology Program (Funding Opportunity Number PD 12 7334)?

The NSF Mathematical Biology Program is a discretionary research grant opportunity that supports mathematically driven research with clear relevance to the biological sciences. The program targets projects where mathematics is not just a tool for analysis, but a central research contribution that advances applied and computational mathematics while tackling biologically meaningful questions.

What kind of work is the program trying to fund?

The program looks for projects that are mathematically innovative and biologically important. Competitive proposals are expected to introduce new mathematical theory, new modeling frameworks, or new computational/statistical approaches, and apply them to biological problems that biologists view as significant. The strongest projects show real two-way interaction: biology motivates the mathematics, and the mathematics changes what can be learned about the biology.

What does "mathematically innovative" mean in this program's context?

In this context, "mathematically innovative" means the proposal contributes something meaningfully new on the mathematics side, such as new theory, original model structures, or novel computational and statistical methods. The program is not primarily aimed at projects that only apply existing, well-established methods to biological data or systems without substantially advancing the underlying mathematics.

Are proposals that mainly apply standard methods to biology a good fit?

Generally, no. The program description draws a boundary around projects that mainly use established mathematical, statistical, or computational tools to address biological questions without pushing the mathematics forward in a significant way. Even if the biological application is compelling, proposals built primarily around off-the-shelf approaches may not meet the expectations for mathematics-oriented review tracks within the Division of Mathematical Sciences (DMS).

How does this program fit within NSF's Division of Mathematical Sciences (DMS)?

The Mathematical Biology Program sits within NSF's DMS and overlaps with several DMS disciplinary programs. Relevant areas can include (as examples provided) topology, probability, statistics, computation, and other branches of modern mathematics. Because of this overlap, applicants may need to decide whether their proposal should be submitted to a specific DMS disciplinary program, with Mathematical Biology involved through co-review.

If my project aligns with a DMS disciplinary program, where should I submit?

If a proposal clearly aligns with a DMS disciplinary program, NSF advises submitting it to the most relevant disciplinary program and requesting co-review by Mathematical Biology as a secondary program. NSF also suggests typically choosing the disciplinary program with the earliest deadline to improve the chance that the proposal can be included in all relevant review cycles.

What is "co-review," and why does it matter?

Co-review refers to having a proposal reviewed by more than one program (for example, a DMS disciplinary program and Mathematical Biology). It matters because the best review alignment often requires input from multiple communities, especially for interdisciplinary proposals. The opportunity notes that co-review is possible, but it depends on timing and routing so the proposal reaches all relevant programs in time for their review processes.

How important is timing for co-review?

Timing is critical. The program description emphasizes that proposals can be co-reviewed only if they arrive early enough to be included in all the relevant programs' review cycles. If the timing does not work, the proposal may be reviewed by only a subset of programs or, in some cases, returned without review.

Can a proposal be returned without review?

Yes. The description explicitly notes that if timing and routing do not work for proposals that belong in more than one place, NSF may review the proposal only in a subset of programs or potentially return it without review.

How interdisciplinary is this program?

The program is strongly interdisciplinary. Mathematical Biology interacts with all divisions in NSF's Directorate for Biological Sciences and overlaps with multiple divisions in the Directorate for Engineering. Joint reviews are described as common, reflecting the expectation that funded work meaningfully connects mathematics with biology (and sometimes engineering).

Should applicants contact program officers before submitting?

Yes. NSF explicitly encourages investigators to talk with program officers on both the mathematics side and the relevant biology or engineering side. These conversations can help determine the best submission route and whether co-review makes sense for a particular project.

What should a strong proposal narrative emphasize?

Based on the program description, a strong narrative should emphasize both (1) mathematical rigor and innovation (new theory, frameworks, or methods) and (2) biological significance (questions that matter to biologists). The program also stresses that mathematics and biology should inform each other rather than being presented as two separate tracks placed side by side.

How many awards were expected under this opportunity?

The opportunity listed an expected 30 awards.

Is cost sharing or matching required?

No. The opportunity states there is no cost sharing or matching requirement.

What is the CFDA number associated with this opportunity?

The opportunity is associated with CFDA number 47.049 (Mathematical and Physical Sciences).

Who is eligible to apply?

Eligibility is described as unrestricted (open to any type of entity), subject to any clarifications in the full announcement materials.

When was the opportunity posted, and what were the due dates?

The posting information indicates the opportunity was originally posted on May 14, 2012. It lists an annual submission window around November 1 to November 15, due by 5 p.m. local time.

Is this opportunity still open?

The historical information provided indicates it later closed and was ultimately archived on December 16, 2020.

What should applicants do if they have technical issues accessing the announcement via Grants.gov?

NSF directs users to Grants.gov support for access or technical issues. The support email provided is grantsgovsupport@nsf.gov.

How should applicants decide between submitting to Mathematical Biology versus another DMS disciplinary program?

The description suggests using scientific fit and routing logistics together. If the work clearly fits a DMS disciplinary program, NSF advises submitting there and requesting co-review by Mathematical Biology. Because review depends heavily on timing and routing, NSF also notes that choosing the program with the earliest deadline can help ensure co-review across relevant programs remains feasible.

What is the main takeaway for applicants trying to route their proposal correctly?

The main takeaway is that both content and process matter: the project should advance mathematics in a way that matters for biology, and the proposal should be submitted in the right place (and early enough) to reach the intended reviewers and to be considered for co-review where appropriate.

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