Opportunity Information: Apply for PD 10 1263
Apply for PD 10 1263
- The National Science Foundation in the science and technology and other research and development sector is offering a public funding opportunity titled "Probability" 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 Sep 7, 2010.
- Applicants must submit their applications by Nov 7, 2015 October 23 through November 7, annually. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- 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:
This National Science Foundation (NSF) grant opportunity, titled "Probability" (Funding Opportunity Number PD 10 1263), supports research that advances both the fundamental theory of probability and its real-world applications. The program is aimed at strengthening core areas of modern probability while also encouraging work that connects probabilistic methods to other disciplines in science and engineering. In practice, that means proposals can be purely theoretical, strongly applied, or somewhere in between, as long as they contribute meaningfully to probability research and its broader impact.
The scope of supported research is broad and covers many major subfields. NSF explicitly lists discrete probability, stochastic processes, limit theory, interacting particle systems, stochastic differential equations (SDEs), stochastic partial differential equations (SPDEs), and Markov processes as representative areas of interest. These topics span work on random structures and combinatorial phenomena, time-evolving random systems, asymptotic behavior and scaling limits, probabilistic models motivated by physics and biology, and analytical and computational frameworks for random dynamical systems. A key emphasis is that probability research tied to applications in other areas of science and engineering is especially encouraged, signaling that interdisciplinary projects that use probability to address concrete problems (or that are motivated by them) are likely to be well aligned with the program.
In addition to research grants, the opportunity also addresses funding for conferences, workshops, and similar community activities such as summer or winter schools. For those kinds of proposals, principal investigators are directed to carefully follow NSF's separate solicitation "Conferences and Workshops in the Mathematical Sciences," which contains important guidance on what NSF expects in terms of content and proposal structure for event-based funding. The program also highlights an important planning requirement: conference and workshop proposals should be submitted about eight months before the requested start date, which effectively means organizers need to plan well in advance to meet NSF review and award timelines.
Administratively, this is a discretionary grant program under NSF's Science and Technology and other Research and Development activity category, and it falls under CFDA number 47.049 (Mathematical and Physical Sciences). The opportunity indicates that cost sharing or matching is not required, which generally simplifies budgeting and reduces institutional burden compared with programs that require committed matching funds. Eligibility is listed as unrestricted, meaning the opportunity is broadly open to applicant types, subject to any additional eligibility clarifications that might be stated in the full text of the solicitation.
The timeline information included in the source reflects an annual submission window, with proposals due by 5 p.m. local time during a late-October through early-November period. The listed window is October 23 through November 7, repeated annually, with dates shown historically as October 23, 2010 and November 7, 2010, and later as an annual cycle through November 7, 2015. The record also indicates an archive date of December 7, 2020, suggesting that the specific posting referenced is no longer active as a current standalone announcement, even though the NSF Probability program itself may continue under updated solicitations or program descriptions. For applicants trying to access the full announcement electronically, the notice points to NSF Grants.gov support via grantsgovsupport@nsf.gov, which is the appropriate contact for technical access issues rather than scientific or programmatic questions.
Overall, the opportunity is best understood as NSF's mechanism for investing in cutting-edge probability research across a wide range of theoretical and applied directions, while also supporting community-building events that help disseminate results, train researchers, and connect subfields. Applicants whose work bridges probability with other scientific or engineering areas, or who can clearly articulate how probabilistic theory advances understanding of complex systems, appear to be particularly well positioned within the stated priorities.
FAQs: NSF "Probability" Grant Opportunity (Funding Opportunity Number PD 10 1263)
What is this NSF grant opportunity?
This is a National Science Foundation (NSF) grant opportunity titled "Probability" (Funding Opportunity Number PD 10 1263). It supports research that advances the fundamental theory of probability as well as research that applies probabilistic ideas and methods to real-world problems.
What is the main goal of the program?
The program aims to strengthen core areas of modern probability while encouraging work that connects probabilistic methods with other disciplines in science and engineering. Proposals can be theoretical, applied, or a mix of both, as long as they contribute meaningfully to probability research and its broader impact.
Does the program support purely theoretical probability research?
Yes. The description explicitly indicates that proposals may be purely theoretical, strongly applied, or somewhere in between, provided they advance probability research in a meaningful way.
Does the program support applied or interdisciplinary probability research?
Yes. Probability research tied to applications in other areas of science and engineering is described as especially encouraged. Projects that use probability to address concrete problems (or are motivated by such problems) appear well aligned with the program emphasis.
What research areas and subfields are within scope?
The scope is broad. NSF lists representative areas including discrete probability, stochastic processes, limit theory, interacting particle systems, stochastic differential equations (SDEs), stochastic partial differential equations (SPDEs), and Markov processes.
Are discrete probability topics specifically included?
Yes. Discrete probability is explicitly listed as a representative area of interest.
Are stochastic processes and Markov processes included?
Yes. Stochastic processes and Markov processes are both explicitly included among the listed representative topics.
Are SDEs and SPDEs within the program scope?
Yes. Stochastic differential equations (SDEs) and stochastic partial differential equations (SPDEs) are explicitly listed as areas of interest.
Are interacting particle systems and limit theory included?
Yes. Interacting particle systems and limit theory are explicitly listed as representative areas supported by the program.
Does the opportunity fund conferences, workshops, or schools?
Yes. In addition to research grants, the opportunity addresses funding for conferences, workshops, and related community activities such as summer or winter schools.
Is there special guidance for conference or workshop proposals?
Yes. For conferences and workshops, principal investigators are directed to follow NSF's separate solicitation titled "Conferences and Workshops in the Mathematical Sciences," which provides guidance on expected content and proposal structure for event-based funding.
How far in advance should conference and workshop proposals be submitted?
The program highlights a planning requirement that conference and workshop proposals should be submitted about eight months before the requested start date.
Is cost sharing or matching required?
No. The opportunity indicates that cost sharing or matching is not required.
What is the CFDA number for this opportunity?
The opportunity is listed under CFDA number 47.049, associated with Mathematical and Physical Sciences.
What type of grant program is this, administratively?
It is described as a discretionary grant program under NSF's Science and Technology and other Research and Development activity category.
Who is eligible to apply?
Eligibility is listed as unrestricted, meaning it is broadly open to applicant types, subject to any additional eligibility details that might appear in the full solicitation text.
When are proposals due?
The timeline information reflects an annual submission window with proposals due by 5 p.m. local time during a late-October through early-November period. The window is described as October 23 through November 7, repeated annually (with historical examples provided for 2010 through 2015).
What time zone applies to the deadline?
The deadline is stated as 5 p.m. local time.
Is this particular posting still active?
The record indicates an archive date of December 7, 2020, which suggests the specific posting referenced is no longer active as a current standalone announcement. The text also notes that the NSF Probability program itself may continue under updated solicitations or program descriptions.
Where should applicants go for technical help accessing the announcement electronically?
For electronic access issues related to NSF Grants.gov, the notice points to NSF Grants.gov support at grantsgovsupport@nsf.gov. This contact is positioned for technical access support rather than scientific or programmatic questions.
What kinds of proposals seem particularly well aligned with the program priorities?
Based on the stated emphasis, projects that clearly advance probability theory and/or connect probabilistic methods to other scientific or engineering disciplines appear especially encouraged. Work that explains how probabilistic theory improves understanding of complex systems also seems strongly aligned.
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