Opportunity Information: Apply for 15 583
Apply for 15 583
- The National Science Foundation in the science and technology and other research and development sector is offering a public funding opportunity titled "Science of Science and Innovation Policy 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 26, 2015 and posted on Jun 26, 2015.
- Applicants must submit their applications by Sep 29, 2015. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $100,000.00 to eligible and selected applicants.
- The number of recipients for this funding is limited to 5 candidate(s).
- Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification).
- Who May Submit Proposals Proposals may only be submitted by the following Universities and Colleges Doctoral Degree granting universities and colleges accredited in, and having a campus located in, the U.S. acting on behalf of their faculty members. Such organizations are also referred to as academic institutions. Who May Serve as PI The PI must be the advisor of the doctoral student or a faculty member at the U.S. university where the doctoral student is enrolled. The doctoral student will be the Co PI.
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Opportunity Summary:
The National Science Foundation (NSF) Science of Science and Innovation Policy (SciSIP) Doctoral Dissertation Research Improvement Grants (DDRIG) opportunity supports dissertation projects that strengthen the evidence base behind science and innovation policy. The core idea is to fund research that improves how policymakers and research leaders understand, measure, and make decisions about science and innovation systems, especially when resources are limited and tradeoffs are unavoidable. Projects funded under this opportunity are expected to contribute knowledge that is useful beyond a single case, such as broadly applicable models, frameworks, analytical tools, datasets, or metrics that can inform real-world science and innovation policy decisions.
SciSIP DDRIGs specifically focus on improving the quality and reach of a doctoral student’s dissertation research by paying for research expenses that are difficult to cover through normal university support. Typical examples include substantial data gathering, specialized data acquisition, fieldwork, and research conducted away from the student’s home campus. This mechanism is not meant to fund the student’s general support: it does not pay for cost of living, stipends, or tuition. Strong proposals clearly explain why the requested resources are essential to producing a better dissertation and, most importantly, how the resulting knowledge advances the science of science and innovation policy rather than only addressing a narrow disciplinary question.
In terms of the kinds of research SciSIP wants to see, the program emphasizes work that builds the scientific foundations of science policy itself. That can include developing behavioral or decision-oriented theories of how science and innovation operate, creating conceptual and computational models that can be reused across multiple policy settings, or designing methodologies to analyze science, technology, and innovation data and communicate results to different audiences. A major theme is improving data and measurement: proposals that create, enhance, or validate datasets, indicators, and metrics related to knowledge creation and innovation are encouraged, especially when they demonstrate practical feasibility for collecting and analyzing data inside organizations where innovation happens (for example, universities, firms, labs, or public agencies). The broader SciSIP program also values interdisciplinary approaches, meaning proposals that integrate perspectives and methods across fields such as economics, sociology, political science, network science, computational social science, bibliometrics, and public policy, among others.
The program also signals priorities around broadening participation in science and engineering by encouraging submissions that involve or support groups and institutions that have been underrepresented in NSF funding and in the research workforce. This includes encouragement for proposals connected to junior faculty, women, other underrepresented minorities, Research Undergraduate Institutions, and EPSCoR states. While this broader participation emphasis is program-wide, DDRIG proposals can align with it by thoughtfully addressing who benefits from the research, what communities are included in the data and analysis, and how the project helps widen participation or understanding of participation in science and innovation.
Administratively, this is a discretionary federal grant opportunity (Funding Opportunity Number 15-583) in the science and technology research and development category, under CFDA 47.075 (Social, Behavioral, and Economic Sciences). NSF expected to make about 5 awards under this posting, with an estimated total funding amount of $100,000. The award floor listed is $20,000, and there is no cost-sharing or matching requirement. For eligibility, proposals must be submitted by U.S.-accredited, U.S.-campus doctoral degree-granting universities and colleges, acting on behalf of their faculty. A key requirement is that the Principal Investigator (PI) must be the doctoral student’s advisor or another faculty member at the U.S. university where the student is enrolled, and the doctoral student is listed as the Co-PI. The posted date for this specific opportunity was June 26, 2015, with a closing date of September 29, 2015, and an archive date of October 10, 2029, indicating the announcement remains accessible as a historical record even after the submission window has passed.
Overall, this opportunity is best understood as targeted dissertation support for doctoral research that produces policy-relevant science about science and innovation. Competitive applications make a clear case that the dissertation will generate generalizable insights, tools, or data that improve how science and innovation policy is analyzed and designed, and that the requested funds directly enable research activities that would otherwise be out of reach.
Frequently Asked Questions (FAQs): NSF SciSIP Doctoral Dissertation Research Improvement Grants (DDRIG)
What is the NSF SciSIP DDRIG opportunity?
The National Science Foundation (NSF) Science of Science and Innovation Policy (SciSIP) Doctoral Dissertation Research Improvement Grants (DDRIG) opportunity supports doctoral dissertation projects that strengthen the evidence base behind science and innovation policy. The emphasis is on research that helps policymakers and research leaders better understand, measure, and make decisions about science and innovation systems, especially when resources are limited and tradeoffs are unavoidable.
What is the main goal of this grant?
The main goal is to improve the quality and reach of a doctoral student's dissertation by supporting research expenses that are often difficult to cover through normal university funding. Funded projects are expected to produce knowledge that is useful beyond a single case, such as broadly applicable models, frameworks, analytical tools, datasets, or metrics that can inform real-world science and innovation policy decisions.
What kinds of dissertation projects fit this program best?
Projects are a good fit when they advance the science of science and innovation policy itself, rather than only answering a narrow disciplinary question. The program emphasizes work that builds scientific foundations for science policy, including generalizable theories, models, methodologies, datasets, indicators, and metrics that can be reused across multiple policy settings.
Does the research need to be generalizable beyond a single case study?
Yes. Projects funded under this opportunity are expected to contribute knowledge that is useful beyond a single case. Examples include reusable models or frameworks, analytical tools, datasets, or measurement approaches that can inform science and innovation policy decisions in multiple contexts.
What types of costs is the DDRIG intended to cover?
SciSIP DDRIGs are intended to cover research expenses that are difficult to fund through typical university support. Examples mentioned include substantial data gathering, specialized data acquisition, fieldwork, and research conducted away from the student's home campus.
What types of costs are not supported by this grant?
This mechanism is not meant to fund a student's general support. It does not pay for cost of living, stipends, or tuition.
How should a strong proposal justify the requested budget?
Strong proposals clearly explain why the requested resources are essential to producing a better dissertation. They also make a clear case that the work advances the science of science and innovation policy, not only a narrow question within a single discipline.
What research themes does SciSIP emphasize?
The program emphasizes research that builds scientific foundations for science and innovation policy. This can include behavioral or decision-oriented theories of how science and innovation operate, conceptual and computational models that can be used across different policy settings, and methodologies for analyzing science, technology, and innovation data and communicating results to different audiences.
Is data and measurement a priority area?
Yes. A major theme is improving data and measurement. Proposals that create, enhance, or validate datasets, indicators, and metrics related to knowledge creation and innovation are encouraged, especially when they show practical feasibility for collecting and analyzing data inside organizations where innovation happens (such as universities, firms, labs, or public agencies).
Are interdisciplinary projects encouraged?
Yes. The broader SciSIP program values interdisciplinary approaches. The opportunity highlights integrating perspectives and methods across fields such as economics, sociology, political science, network science, computational social science, bibliometrics, and public policy, among others.
How does the opportunity address broadening participation in science and engineering?
The program encourages submissions that involve or support groups and institutions underrepresented in NSF funding and in the research workforce. This includes encouragement for proposals connected to junior faculty, women, other underrepresented minorities, Research Undergraduate Institutions, and EPSCoR states. DDRIG proposals can align with this emphasis by thoughtfully addressing who benefits from the research, what communities are included in the data and analysis, and how the work helps widen participation or understanding of participation in science and innovation.
What is the funding opportunity number and program classification information?
This is a discretionary federal grant opportunity with Funding Opportunity Number 15-583, in the science and technology research and development category, under CFDA 47.075 (Social, Behavioral, and Economic Sciences).
How many awards did NSF expect to make under this posting?
NSF expected to make about 5 awards under this posting.
What was the estimated total funding amount?
The estimated total funding amount listed was $100,000.
What is the minimum (floor) award amount?
The award floor listed is $20,000.
Is cost sharing or matching required?
No. There is no cost-sharing or matching requirement listed for this opportunity.
Who is eligible to submit a proposal?
Proposals must be submitted by U.S.-accredited, U.S.-campus doctoral degree-granting universities and colleges, acting on behalf of their faculty.
Who should be listed as the Principal Investigator (PI) and Co-PI?
A key requirement is that the Principal Investigator (PI) must be the doctoral student's advisor or another faculty member at the U.S. university where the student is enrolled. The doctoral student must be listed as the Co-PI.
When was this opportunity posted, and what were the key dates?
The posted date for this specific opportunity was June 26, 2015. The closing date was September 29, 2015. The archive date is October 10, 2029, indicating the announcement remains accessible as a historical record even after the submission window has passed.
Is this opportunity still open for submission?
Based on the provided dates, the closing date was September 29, 2015, so the submission window referenced in this posting has already passed. The archive date (October 10, 2029) indicates the listing remains accessible as a record.
What makes this opportunity different from general dissertation funding?
This opportunity is framed as targeted dissertation research improvement support. It focuses on enabling specific research activities (like data acquisition, fieldwork, or off-campus research) that would otherwise be out of reach, and it prioritizes outputs that improve how science and innovation policy is analyzed and designed through broadly useful insights, tools, or data.
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