Opportunity Information: Apply for 06 605
Apply for 06 605
- The National Science Foundation in the science and technology and other research and development sector is offering a public funding opportunity titled "SBE Doctoral Dissertation Research Improvement Grants" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 47.075 Social, Behavioral, and Economic Sciences.
- This funding opportunity was created on Jun 23, 2011 and posted on Sep 14, 2006.
- Applicants must submit their applications by replaced by NSF 11 547. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $2,500,000.00 to eligible and selected applicants.
- The number of recipients for this funding is limited to 300 candidate(s).
- Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification).
- Organization Limit Proposals may only be submitted by the following The student must be enrolled at a U.S. academic institution, but need not be a U.S. citizen. Proposals from women, minorities, and persons with disabilities are strongly encouraged. PI LimitThe proposal must be submitted by the dissertation advisor(s) on behalf of the graduate student who is at the point of initiating or already conducting dissertation research.
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Opportunity Summary:
The SBE Doctoral Dissertation Research Improvement Grants (DDRIG) program is a National Science Foundation (NSF) funding opportunity designed to strengthen the quality and impact of doctoral dissertation research in the social, behavioral, and economic sciences. It is administered across NSF units in the Social, Behavioral and Economic Sciences (SBE) Directorate, specifically through the Division of Behavioral and Cognitive Sciences (BCS), the Division of Social and Economic Sciences (SES), and the Division of Science Resources Statistics (SRS). The basic purpose is to provide targeted support that helps doctoral students carry out dissertation research that is more ambitious, more rigorous, or more feasible than it would be using typical university resources alone.
A key feature of this opportunity is that the funding is meant for expenses that are not normally available through a student’s home institution. In practice, that often includes costs tied to major data collection efforts, specialized research materials, access to unique datasets, fieldwork logistics, research-related travel, or other research infrastructure needs that can make a meaningful difference in the scope and quality of the dissertation. The program is also intended to enable field research away from the student’s campus, supporting work in settings where the relevant people, sites, archives, languages, environments, organizations, or social contexts are located. In other words, it is not simply a small add-on; it is structured to let students execute data gathering and research designs that otherwise might be scaled down or abandoned due to practical constraints.
Proposals are evaluated primarily on scientific merit. Reviewers look for the theoretical importance of the research question and whether the proposed data, methods, and overall design are well matched to answering that question. This means applicants need to show that the dissertation project is not only interesting, but also conceptually grounded and methodologically sound, with a clear plan for producing credible evidence. Because DDRIGs are housed across many different disciplinary programs, specific expectations can vary by field, but the core review emphasis remains the same: strong theory, strong methods, and a compelling contribution to knowledge.
The opportunity spans multiple NSF programs that accept dissertation improvement proposals. Within BCS, participating programs include Archaeology, Cultural Anthropology, Geography and Regional Science, Linguistics, and Physical Anthropology. Within SES, participating programs include Decision, Risk and Management Science; Economics; Law and Social Science; Methodology, Measurement, and Statistics; Political Science; Science, Technology, and Society; and Sociology. Within SRS, support is available through the Research on Science and Technology Surveys and Statistics Program. Each participating program may set its own practical rules, such as budget limits, proposal formatting, page limits, and the way proposals are reviewed, so applicants are expected to consult the specific program page and, when needed, communicate with the relevant program director or program officer for guidance.
Eligibility is structured in a way that reflects how NSF typically handles graduate student research funding. The doctoral student must be enrolled at a U.S. academic institution, but does not need to be a U.S. citizen. Importantly, the proposal is submitted by the dissertation advisor (or advisors) on behalf of the doctoral student, and it is intended for students who are initiating or already conducting dissertation research rather than those still in early coursework stages. NSF also notes that proposals from women, minorities, and persons with disabilities are strongly encouraged, reflecting the agency’s broader goals around broadening participation in science.
From an administrative standpoint, this is a discretionary grant program with an activity focus on science and technology and other research and development. The program historically anticipated a large number of awards (the listing cites an expected 300 awards) with an estimated total funding amount of about $2.5 million for the referenced cycle, and it does not require cost sharing or matching. The CFDA number associated with the opportunity is 47.075 (Social, Behavioral, and Economic Sciences).
Deadlines and target dates differ by program, and the announcement reflects a patchwork of annual due dates depending on discipline. Some programs list specific annual deadlines (for example, Political Science and Sociology have their own recurring dates), while Archaeology is noted as accepting proposals at any time. Because these timelines can change and are not uniform across the participating programs, the practical takeaway is that applicants should not rely on a single directorate-wide deadline; they should verify the correct submission window for their specific field and program. The announcement referenced here is an archived NSF publication (NSF 06-605) that was later replaced by NSF 11-547, so anyone applying should make sure they are using the current solicitation and current program guidance before preparing a submission.
Overall, the DDRIG opportunity is best understood as NSF support that helps a dissertation move from a solid plan to a truly well-executed research project, especially when that requires additional data collection, fieldwork, or specialized resources beyond what a department can usually provide. It is competitive and merit-based, but it is also explicitly designed to be accessible to doctoral researchers across a wide range of SBE disciplines, provided the project asks an important question and proposes a credible, well-justified approach to answering it.
FAQs: NSF SBE Doctoral Dissertation Research Improvement Grants (DDRIG)
What is the SBE Doctoral Dissertation Research Improvement Grants (DDRIG) program?
The SBE DDRIG program is a National Science Foundation (NSF) funding opportunity intended to strengthen the quality and impact of doctoral dissertation research in the social, behavioral, and economic sciences. It provides targeted support so dissertation projects can be more ambitious, more rigorous, or more feasible than would be possible using typical university resources alone.
Which NSF directorate and divisions administer the DDRIG program?
The opportunity is administered across NSF units in the Social, Behavioral and Economic Sciences (SBE) Directorate. It runs through the Division of Behavioral and Cognitive Sciences (BCS), the Division of Social and Economic Sciences (SES), and the Division of Science Resources Statistics (SRS).
What is the main purpose of a DDRIG award?
The basic purpose is to improve dissertation research by supporting expenses and research activities that materially improve the project’s execution, such as enabling more substantial data collection, stronger research designs, or fieldwork that would otherwise be limited by practical constraints.
What kinds of expenses is DDRIG funding meant to cover?
DDRIG funding is meant for dissertation research expenses that are not normally available through a student’s home institution. Examples described include major data collection costs, specialized research materials, access to unique datasets, fieldwork logistics, and research-related travel, along with other research infrastructure needs tied to executing the dissertation.
Is the DDRIG intended to fund routine costs that a university typically covers?
No. A key feature is that the funding is intended for costs not normally available through the student’s institution. The program is framed as targeted support to fill gaps that can otherwise force dissertation research to be scaled down.
Does DDRIG support field research away from the student’s campus?
Yes. The opportunity is explicitly intended to enable field research away from campus, particularly in settings where relevant people, sites, archives, languages, environments, organizations, or social contexts are located.
How are DDRIG proposals evaluated?
Proposals are evaluated primarily on scientific merit. Reviewers focus on the theoretical importance of the research question and whether the proposed data, methods, and overall design are well matched to answering that question. Across disciplines, the core emphasis remains strong theory, strong methods, and a compelling contribution to knowledge.
Do expectations vary by discipline or program?
Yes. While the main review emphasis is consistent (theory, methods, and contribution), the opportunity spans many disciplinary programs, and practical expectations can vary by field and by participating program.
Which BCS programs participate in DDRIG?
Within BCS, participating programs include Archaeology, Cultural Anthropology, Geography and Regional Science, Linguistics, and Physical Anthropology.
Which SES programs participate in DDRIG?
Within SES, participating programs include Decision, Risk and Management Science; Economics; Law and Social Science; Methodology, Measurement, and Statistics; Political Science; Science, Technology, and Society; and Sociology.
Which SRS program supports DDRIG-related proposals?
Within SRS, support is available through the Research on Science and Technology Surveys and Statistics Program.
Do participating programs have different rules for budgets, formatting, or page limits?
Yes. Each participating program may set its own practical rules, including budget limits, proposal formatting, page limits, and the way proposals are reviewed. Applicants are expected to consult the relevant program’s guidance and, when needed, communicate with the appropriate program director or program officer.
Who is eligible to receive support under DDRIG?
Eligibility is structured around NSF’s typical approach to graduate student research funding. The doctoral student must be enrolled at a U.S. academic institution. The student does not need to be a U.S. citizen.
Who submits the DDRIG proposal to NSF?
The proposal is submitted by the dissertation advisor (or advisors) on behalf of the doctoral student.
Is DDRIG meant for students still in early coursework, or for students conducting dissertation research?
It is intended for students who are initiating or already conducting dissertation research, rather than students who are still in early coursework stages.
Does NSF encourage proposals from specific groups?
Yes. NSF notes that proposals from women, minorities, and persons with disabilities are strongly encouraged, reflecting broader goals to broaden participation in science.
Is this a discretionary grant program, and what is the activity focus?
Yes. From an administrative standpoint, it is a discretionary grant program with an activity focus on science and technology and other research and development.
How many awards and how much total funding are associated with the referenced cycle?
The listing cited an expected 300 awards with an estimated total funding amount of about $2.5 million for the referenced cycle.
Is cost sharing or matching required?
No. The opportunity does not require cost sharing or matching.
What is the CFDA number for this opportunity?
The CFDA number associated with the opportunity is 47.075 (Social, Behavioral, and Economic Sciences).
Are there uniform deadlines across all DDRIG programs?
No. Deadlines and target dates differ by program, and the announcement describes annual due dates that vary by discipline. Some programs list specific recurring dates, while at least one program (Archaeology) is described as accepting proposals at any time. Applicants should verify the correct timeline for their specific program.
What should applicants do to confirm the correct deadline?
Applicants should consult the specific participating program’s information and verify the submission window for their discipline, rather than relying on a single SBE-wide deadline.
Is the referenced announcement current?
The announcement referenced is an archived NSF publication (NSF 06-605) that was later replaced by NSF 11-547. Applicants should make sure they are using the current solicitation and current program guidance before preparing a submission.
In practical terms, how should someone think about what DDRIG enables?
DDRIG is best understood as NSF support that helps a dissertation move from a solid plan to a well-executed research project, particularly when the project requires additional data collection, fieldwork, or specialized resources beyond what a department can usually provide.
Is the DDRIG competitive?
Yes. The program is described as competitive and merit-based, with proposals evaluated primarily on scientific merit.
What makes a strong fit for DDRIG based on the review emphasis described?
Based on the criteria described, a strong fit is a dissertation project that asks an important, theoretically motivated question and proposes a credible, well-justified research design with appropriate data and methods to answer that question.
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