Opportunity Information: Apply for PD 08 7335
Apply for PD 08 7335
- The National Science Foundation in the science and technology and other research and development sector is offering a public funding opportunity titled "Workforce Program in the Mathematical Sciences" 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 Sep 26, 2014 and posted on Jan 10, 2008.
- Applicants must submit their applications by Opportunity PD 08 7335 has been archived.. (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:
The National Science Foundation (NSF), through its Division of Mathematical Sciences (DMS), created the Workforce Program in the Mathematical Sciences to strengthen the long-term pipeline of U.S. talent in mathematics and statistics. Its overarching aim is to increase the number of well prepared U.S. citizens, nationals, and permanent residents who go on to successful careers in the mathematical sciences and in other disciplines supported by NSF. The program focuses on the full training pathway from undergraduate students through postdoctoral researchers, with a strong emphasis on education that is tightly connected to authentic research involvement rather than classroom-only experiences. A major theme running through the opportunity is that workforce growth is not just about producing more graduates, but about improving recruitment, retention, educational quality, and eventual placement into jobs across both academic and nonacademic sectors.
The program highlights three major priority areas. First is recruitment and retention, meaning projects that bring more students into mathematics and statistics and help them persist through key stages toward undergraduate and graduate degrees, with explicit interest in increasing both the number and diversity of participants. Second is educational breadth, which covers efforts to broaden what students learn and experience in undergraduate and graduate programs so they are prepared for a wider range of career options. This can include exposure to new content areas, interdisciplinary work, or training that reflects the reality of modern mathematical practice in industry, government, and academia. Third is professional development, aimed at helping undergraduates, graduate students, and postdoctoral associates build practical skills that improve employability, such as communication, collaboration, mentoring, teaching, leadership, and career preparation for roles outside traditional academic pathways.
A key feature of the opportunity is that it welcomes unsolicited proposals, meaning applicants can propose creative, custom-designed activities as long as they directly advance the program goals. These proposals are expected to be concrete and well justified. NSF expects proposers to clearly spell out the goals of the project, describe the new activities to be carried out, explain how those activities address the goals, and show how the approach differs from or meaningfully improves upon common practice. Proposals also need measurable outcomes, a credible evaluation plan that explains how success and progress will be assessed, and a budget that matches the scope of work. In other words, the program is looking for more than good intentions; it expects evidence-minded planning with accountability built in from the start.
Within unsolicited submissions, DMS signals special interest in activities with certain qualities. Competitive ideas are described as novel and potentially transformative, suggesting they could produce unusually strong outcomes rather than incremental gains. They should be portable, meaning other institutions could realistically replicate or adapt them, and sustainable, meaning they can continue after NSF funding ends rather than collapsing when the grant period is over. The program also values scale and influence, favoring projects likely to affect larger numbers of trainees and projects that could serve as national models for education-through-research approaches in the mathematical sciences.
Timing and process requirements are important. Unsolicited proposals are only accepted during an annual submission window, May 15 through June 15 (by 5 p.m. local time). Proposals submitted outside that window are returned without review, so planning around the submission period is essential. The program also advises prospective applicants to contact the relevant (cognizant) program director before submitting, which is a common NSF practice intended to confirm fit, avoid misunderstandings, and sharpen the project concept before formal review.
In addition to these flexible, unsolicited projects, the Workforce Program umbrella also encompasses several structured training mechanisms that operate under separate, specific solicitations with their own deadlines. These include Research Training Groups in the Mathematical Sciences (RTG), Mentoring through Critical Transition Points in the Mathematical Sciences (MCTP), Mathematical Sciences Postdoctoral Research Fellowships (MSPRF), Research Experiences for Undergraduates (REU) Sites, and Interdisciplinary Training for Undergraduates in Biological and Mathematical Sciences (UBM). The important takeaway is that applicants need to match the right vehicle to their idea: some concepts belong in the open unsolicited window, while others fit better under one of these established programs with dedicated guidance and timelines.
For review and final funding decisions, NSF applies its standard merit review framework, including Intellectual Merit and Broader Impacts, but the announcement emphasizes two additional lenses that are especially central here. One is the integration of research and education: NSF is explicitly looking for efforts that connect discovery-driven research with training and learning, leveraging academic environments where people can function simultaneously as researchers, educators, and students. The other is integrating diversity into programs and activities. Broadening participation is not treated as optional; the announcement underscores NSF commitment to enabling participation by women and men, underrepresented minorities, and persons with disabilities as essential to the strength of science and engineering. Proposals that build participation into the project design, rather than treating it as an add-on, align best with the stated priorities.
From the administrative details provided, this opportunity was offered as a discretionary NSF grant program under CFDA 47.049 (Mathematical and Physical Sciences). It listed unrestricted eligibility in general terms (open to entity types unless otherwise limited in the full text), did not require cost sharing or matching, and originally operated with annual May to June submission windows. The specific listing provided is archived (PD 08-7335), meaning that while it reflects the program’s goals and structure at the time, applicants should rely on the current NSF program pages and active solicitations for up-to-date deadlines, requirements, and contacts.
Frequently Asked Questions (FAQs): NSF DMS Workforce Program in the Mathematical Sciences
1) What is the NSF Workforce Program in the Mathematical Sciences?
The Workforce Program in the Mathematical Sciences is an NSF Division of Mathematical Sciences (DMS) effort designed to strengthen the long-term U.S. talent pipeline in mathematics and statistics. Its overall goal is to increase the number of well-prepared U.S. citizens, nationals, and permanent residents who move into successful careers in the mathematical sciences and other NSF-supported disciplines.
2) What is the main purpose of this program?
The program aims to grow the mathematical sciences workforce in a way that goes beyond simply increasing the number of graduates. It emphasizes recruitment, retention, educational quality, and job placement across both academic and nonacademic sectors, with training that is closely tied to authentic research involvement.
3) Who is the program ultimately trying to support?
The program focuses on strengthening the training pathway from undergraduate students through postdoctoral researchers, with the goal of producing a stronger pipeline of U.S. talent in mathematics and statistics.
4) What stages of training does the program cover?
It spans the full pathway from undergraduate education through graduate training and postdoctoral development, with an emphasis on experiences that integrate research and education rather than relying only on classroom-based instruction.
5) What kinds of project goals align with this opportunity?
Projects align well when they clearly strengthen the workforce pipeline by improving recruitment and persistence, expanding educational breadth to better match modern career realities, and/or building professional skills that help trainees succeed in a wide range of careers.
6) What are the three main priority areas of the program?
The opportunity highlights three major priorities:
- Recruitment and retention: bringing more students into mathematics and statistics and supporting persistence toward degrees, with explicit interest in increasing both the number and diversity of participants.
- Educational breadth: broadening what students learn and experience so they are prepared for a wider range of careers (including interdisciplinary work and exposure to modern practice in industry, government, and academia).
- Professional development: developing practical skills such as communication, collaboration, mentoring, teaching, leadership, and career preparation beyond traditional academic pathways.
7) Does the program require research involvement, or can projects be classroom-only?
The program places a strong emphasis on education that is tightly connected to authentic research involvement. While the details of any one project can vary, the overall framing favors education-through-research approaches rather than classroom-only experiences.
8) Are unsolicited proposals allowed?
Yes. A key feature is that it welcomes unsolicited proposals. That means applicants can propose custom-designed activities, as long as they directly advance the program goals and are concrete, well justified, and accountable.
9) What does NSF expect in an unsolicited proposal for this program?
NSF expects proposers to clearly describe:
- The project goals
- The new activities to be carried out
- How those activities address the goals
- How the approach differs from or meaningfully improves on common practice
- Measurable outcomes
- A credible evaluation plan showing how progress and success will be assessed
- A budget that matches the scope of work
10) What makes an unsolicited proposal more competitive under this program?
DMS indicates special interest in activities that are:
- Novel and potentially transformative (not just incremental improvements)
- Portable (other institutions could realistically replicate or adapt them)
- Sustainable (able to continue after NSF funding ends)
- Influential at scale (likely to affect larger numbers of trainees and/or serve as a national model)
11) What does "portable" mean in this context?
"Portable" means the approach is designed so that other institutions could realistically replicate it or adapt it in their own settings, rather than being so unique to one campus or department that it cannot be transferred.
12) What does "sustainable" mean for this opportunity?
"Sustainable" means the activities are designed to keep going after the NSF funding period ends, rather than disappearing once the grant concludes.
13) Is the program focused only on academic careers?
No. A repeated theme is preparation for successful careers in both academic and nonacademic sectors. The educational breadth and professional development priorities explicitly reflect the reality that many trainees pursue careers outside traditional academic pathways.
14) When can unsolicited proposals be submitted?
Unsolicited proposals are accepted only during an annual submission window: May 15 through June 15 (by 5 p.m. local time). Proposals submitted outside that window are returned without review.
15) What happens if a proposal is submitted outside the May 15 to June 15 window?
Proposals submitted outside the stated submission window are returned without review, so timing is critical.
16) Should applicants contact NSF before submitting?
Yes. The program advises prospective applicants to contact the relevant (cognizant) program director before submitting. This is intended to confirm fit, reduce misunderstandings, and improve the project concept prior to formal review.
17) Are there other related NSF training programs under the same umbrella?
Yes. In addition to unsolicited proposals, the Workforce Program umbrella includes several structured training mechanisms that operate under separate solicitations with their own deadlines and rules.
18) Which structured training mechanisms are mentioned?
The opportunity references the following mechanisms:
- Research Training Groups in the Mathematical Sciences (RTG)
- Mentoring through Critical Transition Points in the Mathematical Sciences (MCTP)
- Mathematical Sciences Postdoctoral Research Fellowships (MSPRF)
- Research Experiences for Undergraduates (REU) Sites
- Interdisciplinary Training for Undergraduates in Biological and Mathematical Sciences (UBM)
19) How do applicants decide whether to submit an unsolicited proposal or use a structured mechanism?
The key guidance is to match the right vehicle to the idea. Some concepts fit the flexible unsolicited window, while others align better with one of the established mechanisms (RTG, MCTP, MSPRF, REU Sites, UBM) that have dedicated solicitations and timelines.
20) What review criteria does NSF use for this program?
NSF applies its standard merit review criteria, including Intellectual Merit and Broader Impacts. The announcement also emphasizes two additional lenses that are central to this opportunity: integrating research and education, and integrating diversity into programs and activities.
21) What does the program mean by integrating research and education?
The program is explicitly looking for efforts that connect discovery-driven research with training and learning. It highlights leveraging academic environments where participants can function simultaneously as researchers, educators, and students.
22) How important is diversity and broadening participation in this opportunity?
Broadening participation is treated as essential, not optional. The announcement underscores NSF commitment to enabling participation by women and men, underrepresented minorities, and persons with disabilities, and it favors proposals that build participation into the project design rather than treating it as an add-on.
23) Is cost sharing or matching required?
No. The administrative details provided state that cost sharing or matching was not required for this opportunity.
24) What CFDA number is associated with this program?
This opportunity was offered as a discretionary NSF grant program under CFDA 47.049 (Mathematical and Physical Sciences).
25) What does the listing being "archived" mean for applicants?
The listing provided is archived (PD 08-7335). That means it reflects the program goals and structure as described at the time of the listing, but applicants should rely on current NSF program pages and active solicitations for up-to-date deadlines, requirements, and contact information.
26) Is eligibility restricted?
The information provided describes eligibility as unrestricted in general terms (open to entity types unless otherwise limited in the full text). For current eligibility details, applicants should check the active NSF program materials.
27) What kinds of outcomes does NSF expect projects to define?
The program expects measurable outcomes and a credible evaluation plan. In practice, that means proposals should specify how progress and success will be assessed, rather than relying on general intentions or unmeasured activities.
28) What is NSF looking for beyond "good intentions"?
The announcement emphasizes evidence-minded planning and accountability from the start: clear goals, clearly described activities, measurable outcomes, a real evaluation plan, and a budget that fits the proposed scope.
29) Does the program prefer projects with broader influence?
Yes. The program values scale and influence, including projects likely to affect larger numbers of trainees and projects that could serve as national models for education-through-research approaches in the mathematical sciences.
30) Where should applicants look for the most current deadlines and instructions?
Because the provided listing is archived, applicants should consult current NSF program pages and active solicitations to confirm the latest deadlines, requirements, and program contacts.
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