Opportunity Information: Apply for 08 586

  • 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" 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 Jul 15, 2009 and posted on Mar 4, 2009.
  • Applicants must submit their applications by archived replaced by PD 09 7626. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
  • The funding agency has allocated a total of $8,000,000.00 to eligible and selected applicants.
  • Each selected applicant is eligible to receive up to $750,000.00 in funding.
  • The number of recipients for this funding is limited to 20 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 Universities and two and four year colleges (including community colleges) located and accredited in the US, acting on behalf of their faculty members and non profit organizations in the US. Proposals from individuals, for profit organizations or foreign organizations will not be accepted. However, individual researchers (not associated with any institution) and researchers at ineligible organizations (including foreign universities and colleges, private sector research firms and consultants, and national laboratories) may be included on proposals from eligible institutions through subawards or as consultants. PI Limit For the purposes of this solicitation, senior personnel include the PI, any co PIs, and any other researchers actively involved in the scientific or technical management of the project. It does not include students, postdoctoral researchers, or consultants who provide specific expertise on a limited portion of the project.
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Opportunity Summary:

The National Science Foundation (NSF), through its Directorate for Social, Behavioral and Economic Sciences (SBE), offered this grant opportunity to build and strengthen a field known as the Science of Science and Innovation Policy (SciSIP). The basic idea behind SciSIP is to fund foundational research that helps explain, measure, and predict how investments in science and engineering research turn into real-world outcomes, including economic benefits, social impacts, and other tangible and intangible returns. The program is meant to move beyond anecdotal claims about the value of research by supporting rigorous theories, validated methods, and reliable evidence that can guide decisions in both the public and private sectors.

A central goal of the opportunity is to improve understanding of the environments and processes that shape scientific discovery and technological innovation. That includes studying how research systems are structured, how knowledge is created and spread, and how different kinds of investments in research and development (R and D) produce different kinds of payoffs. The program emphasizes not only retrospective analysis (looking back to evaluate what returns past investments produced) but also prospective analysis (developing approaches that can reasonably forecast likely returns of future investments, within acceptable margins of error, and while considering unintended consequences as well as benefits). In practice, this means projects could focus on anything from the micro-level mechanisms that influence idea formation to macro-level influences such as institutional design, funding structures, networks of collaboration, and national or international policy contexts.

NSF framed the work under four broad activity aims: first, building usable theories and knowledge about creative processes and how they translate into social and economic outcomes; second, developing and improving models and analytical tools that decision-makers can actually apply in science policy settings; third, advancing "science metrics," datasets, and associated analytic methods; and fourth, growing a cross-disciplinary community of experts who can sustain this line of research. In this solicitation, "science metrics" are described as quantitative indicators that summarize the size, scope, quality, and impact of science and engineering activities, particularly focusing on inputs and outputs of the broader science, technology, and innovation system. The emphasis on metrics reflects a practical need: stronger measures are necessary to evaluate performance, compare approaches, understand innovation pathways, and design better workforce training and education aligned with how discovery and innovation really happen.

For the FY 2009 competition, NSF highlighted three emphasis areas: Analytical Tools, Model Building, and Data Development and Augmentation. Projects in Analytical Tools would typically develop or refine methods for analyzing complex science and innovation systems, including tools for assessing impacts, mapping collaboration networks, or visualizing large datasets about research activities and knowledge flows. Model Building projects would focus more on creating or improving explanatory and predictive models of how research investments lead to outcomes, potentially addressing feedback loops, time lags, uncertainty, spillovers, and differences across fields or sectors. Data Development and Augmentation projects would emphasize creating new datasets, enhancing existing data resources, improving data linkages, or developing better measurement approaches that enable more credible evaluation and forecasting. Across these areas, NSF signaled interest in approaches that can handle complex relationships and networks, and in work that sheds light on how new ideas propagate across levels ranging from individuals and organizations to regions and nations.

In addition to the three main emphasis areas, the solicitation placed special encouragement on demonstration projects focused on collecting and analyzing data about knowledge generation and innovation inside organizations. These proposals were expected not only to propose creative and scientifically grounded ways to observe and measure innovation processes within organizations, but also to address practical implementation issues. NSF specifically called out three requirements for these demonstration-oriented data efforts: scalability and sustainability (whether the approach can grow and be maintained over time), protection of confidentiality (especially important if building computerized databases that may be widely accessible), and clear evaluation and assessment plans to track progress toward the project’s scientific objectives. This combination signals that NSF wanted proposals that were not just conceptually interesting, but operationally realistic and mindful of ethical and privacy constraints.

From an administrative standpoint, this was a discretionary grant program (Funding Opportunity Number 08-586) under CFDA 47.075 (Social, Behavioral, and Economic Sciences). NSF anticipated making about 20 awards with an estimated total funding level of $8,000,000. Individual awards were expected to range from $50,000 (floor) up to $750,000 (ceiling), and there was no cost-sharing or matching requirement. The solicitation was posted March 4, 2009, with deadlines listed as December 16, 2008 and December 16 annually thereafter, though the record indicates it was later archived and replaced (noted as replaced by PD 09-7626) with an archive date of July 15, 2009.

Eligibility was limited to U.S.-based, accredited two- and four-year colleges and universities (including community colleges) and U.S. nonprofit organizations applying on behalf of their faculty or staff. Proposals from individuals, for-profit organizations, and foreign organizations were not accepted as lead applicants. However, the program allowed participation by researchers from otherwise ineligible entities (including foreign universities, private sector research firms, consultants, and national laboratories) if they were included through subawards or as consultants under an eligible lead organization. The solicitation also clarifies who counts as senior personnel for proposal purposes: the PI, co-PIs, and others with active scientific or technical management roles, excluding students, postdocs, and limited-scope consultants.

Taken together, the opportunity was designed to professionalize and deepen the evidence base behind science and innovation policy by funding the theories, metrics, data infrastructure, and analytic capabilities needed to understand and forecast the returns on research investments, while also building a durable interdisciplinary research community around these questions.

Frequently Asked Questions (FAQ)

What is this NSF funding opportunity about?

This opportunity, offered by the National Science Foundation (NSF) through its Directorate for Social, Behavioral and Economic Sciences (SBE), supports research in the Science of Science and Innovation Policy (SciSIP). The focus is on building rigorous evidence, theories, methods, models, and data that help explain, measure, and predict how investments in science and engineering research translate into real-world outcomes (economic, social, and other tangible or intangible returns).

What is SciSIP (Science of Science and Innovation Policy)?

SciSIP is a field of research aimed at understanding how scientific discovery and technological innovation happen, how research systems function, and how research and development (R and D) investments produce outcomes. The program emphasizes moving beyond anecdotal claims by supporting validated approaches that can inform decision-making in both public and private sectors.

What kinds of outcomes or "returns" does the program care about?

The solicitation highlights outcomes that can include economic benefits, social impacts, and other tangible and intangible returns from science and engineering research investments. It is concerned with both understanding past returns (retrospective analysis) and developing approaches that can forecast likely future returns (prospective analysis).

Does the program support retrospective evaluation, prospective forecasting, or both?

Both. NSF explicitly emphasizes retrospective analysis (evaluating what payoffs past investments produced) and prospective analysis (developing approaches that can reasonably forecast likely returns of future investments within acceptable margins of error), including consideration of unintended consequences as well as benefits.

What research topics fit within the scope of this opportunity?

The scope is broad and can include research on micro-level mechanisms (such as processes influencing idea formation) and macro-level influences (such as institutional design, funding structures, collaboration networks, and national or international policy contexts). The common thread is improving understanding of environments and processes that shape scientific discovery and technological innovation.

What are the main activity aims NSF describes for this program?

NSF frames the work around four broad aims: (1) building usable theories and knowledge about creative processes and how they translate into social and economic outcomes, (2) developing and improving models and analytical tools that decision-makers can apply in science policy settings, (3) advancing science metrics, datasets, and associated analytic methods, and (4) growing a cross-disciplinary community of experts who can sustain this line of research.

What does NSF mean by "science metrics" in this solicitation?

In this solicitation, "science metrics" are quantitative indicators that summarize the size, scope, quality, and impact of science and engineering activities, with particular attention to inputs and outputs of the broader science, technology, and innovation system.

Why does this program emphasize metrics and data?

The solicitation notes a practical need for stronger measures to evaluate performance, compare approaches, understand innovation pathways, and design better workforce training and education aligned with how discovery and innovation happen. Data, metrics, and analytic methods are positioned as core infrastructure for credible evaluation and forecasting.

What were the FY 2009 emphasis areas?

For the FY 2009 competition, NSF highlighted three emphasis areas: Analytical Tools, Model Building, and Data Development and Augmentation.

What types of projects fall under the "Analytical Tools" emphasis area?

Analytical Tools projects would typically develop or refine methods for analyzing complex science and innovation systems. Examples mentioned include tools for assessing impacts, mapping collaboration networks, and visualizing large datasets about research activities and knowledge flows.

What types of projects fall under the "Model Building" emphasis area?

Model Building projects focus on creating or improving explanatory and predictive models of how research investments lead to outcomes. The solicitation notes potential attention to feedback loops, time lags, uncertainty, spillovers, and differences across fields or sectors.

What types of projects fall under "Data Development and Augmentation"?

Data Development and Augmentation projects emphasize creating new datasets, enhancing existing data resources, improving data linkages, or developing better measurement approaches that support more credible evaluation and forecasting.

What kinds of systems or relationships does NSF want projects to be able to handle?

NSF signals interest in approaches that can handle complex relationships and networks, and in work that clarifies how ideas propagate across levels ranging from individuals and organizations to regions and nations.

What are the solicitation's "demonstration projects" and what are they focused on?

The solicitation specially encourages demonstration projects focused on collecting and analyzing data about knowledge generation and innovation inside organizations. These projects are expected to propose creative, scientifically grounded approaches to observing and measuring innovation processes within organizations, while also addressing practical implementation issues.

What requirements did NSF call out for demonstration-oriented organizational data efforts?

NSF highlights three specific requirements: (1) scalability and sustainability (whether the approach can grow and be maintained over time), (2) protection of confidentiality (particularly important when building computerized databases that may be widely accessible), and (3) clear evaluation and assessment plans to track progress toward the project’s scientific objectives.

What is the Funding Opportunity Number and CFDA number for this program?

The program is identified as Funding Opportunity Number 08-586 and is associated with CFDA 47.075 (Social, Behavioral, and Economic Sciences).

How many awards did NSF anticipate making, and what was the total estimated funding level?

NSF anticipated making about 20 awards, with an estimated total funding level of $8,000,000.

What is the expected award size range?

Individual awards were expected to range from $50,000 (floor) up to $750,000 (ceiling).

Is cost sharing or matching required?

No. The solicitation states there was no cost-sharing or matching requirement.

Who is eligible to apply as the lead applicant?

Eligibility is limited to U.S.-based, accredited two- and four-year colleges and universities (including community colleges) and U.S. nonprofit organizations applying on behalf of their faculty or staff.

Are individuals allowed to apply directly?

No. Proposals from individuals were not accepted as lead applications under this solicitation.

Are for-profit organizations eligible to apply as the lead applicant?

No. For-profit organizations were not accepted as lead applicants. However, the solicitation allows participation by private sector research firms through subawards or consultant arrangements under an eligible lead organization.

Are foreign organizations eligible to apply as the lead applicant?

No. Foreign organizations were not accepted as lead applicants. The solicitation notes, however, that researchers from foreign universities may participate through subawards or as consultants under an eligible U.S. lead organization.

Can national laboratories, consultants, or private research firms participate in a project?

Yes, they may participate if included through subawards or as consultants under an eligible lead organization. The solicitation explicitly notes participation can include otherwise ineligible entities such as foreign universities, private sector research firms, consultants, and national laboratories in those roles.

How does the solicitation define "senior personnel" for proposal purposes?

"Senior personnel" includes the PI, co-PIs, and others who have active scientific or technical management roles. It excludes students, postdoctoral researchers, and limited-scope consultants.

When was the solicitation posted and what deadlines are mentioned?

The solicitation was posted March 4, 2009. It lists deadlines as December 16, 2008 and December 16 annually thereafter, but the record also indicates the opportunity was later archived and replaced.

Was this solicitation archived or replaced?

Yes. The record indicates it was archived and replaced (noted as replaced by PD 09-7626), with an archive date of July 15, 2009.

What is the overall purpose or long-term intent of this program?

The opportunity is designed to strengthen and professionalize the evidence base behind science and innovation policy by funding theory development, metrics, data infrastructure, and analytic capabilities needed to understand and forecast returns on research investments, while building a durable cross-disciplinary research community.

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