Opportunity Information: Apply for 08 604
Apply for 08 604
- The National Science Foundation in the science and technology and other research and development sector is offering a public funding opportunity titled "Cyber Enabled Discovery and Innovation" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 47.041 Engineering Grants 47.049 Mathematical and Physical Sciences 47.050 Geosciences 47.070 Computer and Information Science and Engineering 47.074 Biological Sciences 47.075 Social, Behavioral, and Economic Sciences 47.076 Education and Human Resources 47.078 Polar Programs 47.079 Office of International Science and Engineering 47.080 Office of Cyberinfrastructure.
- This funding opportunity was created on Mar 5, 2010 and posted on Sep 9, 2008.
- Applicants must submit their applications by May 20, 2009 Preliminary Proposals (required) (5 PM Proposers time) 11/08/2008 12/08/2008 Type I Preliminary Proposal 11/09/2008 12/09/2008 Type II Preliminary Proposal Submission Window 04/20/2009 05/20/2009 Type I and Type II Full Proposals. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The funding agency has allocated a total of $26,000,000.00 to eligible and selected applicants.
- The number of recipients for this funding is limited to 30 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 Non profit, non academic organizations Independent museums, observatories, research labs, professional societies and similar organizations in the U.S. associated with educational or research activities. Universities and Colleges Universities and two and four year colleges (including community colleges) located and accredited in the US, acting on behalf of their faculty members. Such organizations also are referred to as academic institutions.
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Opportunity Summary:
Cyber Enabled Discovery and Innovation (CDI) is a National Science Foundation (NSF) initiative designed to push science and engineering forward by making computational thinking a core driver of discovery. The program frames computational thinking broadly, not just as programming, but as the full toolbox of computational concepts, models, algorithms, methods, and enabling tools that can reshape how researchers ask questions and produce new knowledge. NSF positions CDI as intentionally bold and high risk, aiming for transformative, even paradigm-shifting results that can change how major problems are understood across disciplines and, over time, contribute to economic growth and improved quality of life.
CDI invites ambitious, multidisciplinary proposals that fit within or span three main thematic areas. The first, From Data to Knowledge, focuses on converting massive, diverse digital data into usable knowledge, including work that enhances human cognition and supports new ways of extracting insight from heterogeneous datasets. The second, Understanding Complexity in Natural, Built, and Social Systems, targets fundamental advances in how we analyze systems made of many interacting parts, including stochastic, nonlinear, and chaotic behavior across domains like engineered infrastructure, ecological systems, and social dynamics. The third, Building Virtual Organizations, emphasizes the human and organizational side of cyber-enabled research by supporting collaboration models that connect people, expertise, and resources across institutions, geography, and cultures, effectively expanding the scale and speed of discovery.
Across these themes, NSF highlights a set of expected project directions and impacts. CDI projects are meant to identify patterns and structure in very large datasets, use computation to deepen understanding in science and engineering, and develop new approaches to abstraction, modeling, simulation, and prediction for complex systems. The scope is intentionally expansive, ranging from subatomic to galactic scales, subcellular to biosphere scales, and individual to societal scales. Education and workforce development are also built into the program expectations: proposals are encouraged to train future scientists and engineers to create and use advanced cyber resources, while also strengthening broad participation in STEM. Another recurring emphasis is boundary-crossing collaboration, including partnerships that involve industry and international entities when they help advance the program goals.
The opportunity (Funding Opportunity Number 08-604) was offered as a discretionary NSF grant program within the Science and Technology and other Research and Development category. It cut across many NSF directorates and programs, reflected in the wide range of CFDA numbers listed, including Engineering, Mathematical and Physical Sciences, Geosciences, Computer and Information Science and Engineering, Biological Sciences, Social, Behavioral, and Economic Sciences, Education and Human Resources, Polar Programs, International Science and Engineering, and the Office of Cyberinfrastructure. NSF anticipated around 30 awards with an estimated total funding level of $26,000,000, and it did not require cost sharing or matching.
Award support was structured in tiers based on team size and project scope. For the FY2009 competition, NSF supported Type I and Type II awards. Type I projects were sized for a relatively small team, roughly comparable to summer support for two investigators with complementary expertise, support for two graduate students, and associated research costs such as materials, supplies, and travel, over a three-year period. Type II awards were designed for larger efforts, roughly comparable to summer support for three investigators, three graduate students, and one or two additional senior personnel (which could include postdoctoral researchers or staff), along with research costs, over four years. A key requirement for Type II was genuine integration: NSF expected the combined effort to produce outcomes that were clearly greater than what each team member could achieve independently.
NSF also described a future expansion of the program, subject to available funds, to include a Type III category. Type III awards were envisioned for even larger, multidisciplinary teams with multiple senior investigators, multiple graduate students, several senior personnel, and the full set of supporting research needs, for up to five years. As with Type II, NSF stressed that the integrative contribution of the team should exceed a simple additive collaboration, meaning the project should be designed so that the synthesis of expertise is essential to achieving the goals.
Eligibility was primarily oriented toward U.S.-based institutions engaged in education or research. Eligible applicants included accredited U.S. universities and colleges (two-year and four-year, including community colleges) applying on behalf of faculty, as well as non-profit, non-academic organizations such as independent museums, observatories, research laboratories, and professional societies associated with educational or research activities. The solicitation also encouraged productive partnerships that could involve academia, industry, and other organizations, including international participants, when aligned with CDI objectives.
The competition schedule required preliminary proposals before full proposals. Preliminary proposals were due in late 2008 (with separate windows for Type I and Type II), and full proposals for Type I and Type II were accepted during a submission window from April 20, 2009 through May 20, 2009 (by 5 PM local time of the proposer). The opportunity was originally posted September 9, 2008, and later archived March 5, 2010, with additional details referenced under NSF Publication 08-604.
Cyber Enabled Discovery and Innovation (CDI) - FAQs
1) What is the Cyber Enabled Discovery and Innovation (CDI) program?
Cyber Enabled Discovery and Innovation (CDI) is a National Science Foundation (NSF) initiative intended to accelerate advances in science and engineering by making computational thinking a core driver of research discovery. CDI treats computational thinking broadly, including computational concepts, models, algorithms, methods, and enabling tools that can change how researchers frame questions and generate knowledge.
2) What kind of research is CDI trying to support?
CDI is positioned as intentionally bold and high risk, with an emphasis on transformative results. The program aims for outcomes that can be paradigm-shifting across disciplines and that may, over time, contribute to economic growth and improved quality of life.
3) How does CDI define "computational thinking"?
In CDI, computational thinking is not limited to programming. It includes the broader toolbox of computational ideas and capabilities such as modeling, algorithms, abstraction, simulation, prediction, and other cyber-enabled methods and tools used to drive discovery.
4) What are the main thematic areas CDI proposals should fit within?
CDI invites multidisciplinary proposals that fit within or span three thematic areas: (1) From Data to Knowledge, (2) Understanding Complexity in Natural, Built, and Social Systems, and (3) Building Virtual Organizations.
5) What does "From Data to Knowledge" focus on?
This theme focuses on converting massive and diverse digital data into usable knowledge. It includes efforts that support new ways of extracting insight from heterogeneous datasets and work that enhances human cognition in the process of turning data into understanding.
6) What does "Understanding Complexity in Natural, Built, and Social Systems" focus on?
This theme targets fundamental advances in analyzing systems with many interacting parts, including systems exhibiting stochastic, nonlinear, and chaotic behavior. Example domains mentioned include engineered infrastructure, ecological systems, and social dynamics.
7) What does "Building Virtual Organizations" focus on?
This theme emphasizes collaboration and organizational models for cyber-enabled research. It supports approaches that connect people, expertise, and resources across institutions, geography, and cultures to expand the scale and speed of discovery.
8) What kinds of project directions and impacts does NSF expect under CDI?
NSF highlights directions such as identifying patterns and structure in very large datasets, using computation to deepen understanding in science and engineering, and developing new approaches to abstraction, modeling, simulation, and prediction for complex systems.
9) How broad is the intended scientific scope of CDI?
The scope is intentionally expansive, spanning scales from subatomic to galactic, subcellular to biosphere, and individual to societal. The program is designed to support computationally enabled advances across a wide range of disciplines.
10) Are education and workforce development part of CDI expectations?
Yes. Proposals are encouraged to train future scientists and engineers to create and use advanced cyber resources. The program also emphasizes strengthening broad participation in STEM as part of its education and workforce development goals.
11) Does CDI encourage collaboration across disciplines and organizations?
Yes. Boundary-crossing collaboration is a recurring emphasis. The solicitation encourages multidisciplinary efforts and also notes that partnerships may involve industry and international entities when such involvement advances CDI goals.
12) What is the Funding Opportunity Number for this CDI solicitation?
The Funding Opportunity Number is 08-604.
13) What type of federal funding mechanism is this opportunity?
This was offered as a discretionary NSF grant program within the Science and Technology and other Research and Development category.
14) Which NSF areas or directorates does CDI relate to?
CDI cut across many NSF directorates and programs, reflected in the solicitation's wide range of CFDA numbers. Areas listed include Engineering; Mathematical and Physical Sciences; Geosciences; Computer and Information Science and Engineering; Biological Sciences; Social, Behavioral, and Economic Sciences; Education and Human Resources; Polar Programs; International Science and Engineering; and the Office of Cyberinfrastructure.
15) How many awards and how much total funding did NSF anticipate?
NSF anticipated around 30 awards with an estimated total funding level of $26,000,000.
16) Was cost sharing or matching required?
No. The solicitation stated that cost sharing or matching was not required.
17) What award types were supported in the FY2009 CDI competition?
For the FY2009 competition, NSF supported Type I and Type II awards.
18) What is a Type I CDI award (team size and duration)?
Type I projects were intended for a relatively small team and described as roughly comparable to summer support for two investigators with complementary expertise, support for two graduate students, and associated research costs (materials, supplies, travel) over a three-year period.
19) What is a Type II CDI award (team size and duration)?
Type II awards were designed for larger efforts and described as roughly comparable to summer support for three investigators, three graduate students, and one or two additional senior personnel (which could include postdoctoral researchers or staff), plus research costs, over four years.
20) What special integration expectation applied to Type II awards?
A key requirement for Type II was genuine integration. NSF expected the combined effort to produce outcomes that were clearly greater than what each team member could achieve independently.
21) Was a Type III award category part of this solicitation?
NSF described a possible future expansion, subject to available funds, to include a Type III category. Type III awards were envisioned for even larger multidisciplinary teams for up to five years, but they were described as a future expansion rather than part of the FY2009 Type I and Type II competition.
22) What would Type III awards have looked like (as envisioned by NSF)?
Type III awards were envisioned to support larger multidisciplinary teams with multiple senior investigators, multiple graduate students, several senior personnel, and supporting research needs, for up to five years. NSF emphasized that the integrative contribution should exceed simple additive collaboration, meaning the synthesis of expertise should be essential to achieving the goals.
23) Who was eligible to apply?
Eligibility was primarily oriented toward U.S.-based institutions engaged in education or research. Eligible applicants included accredited U.S. universities and colleges (two-year and four-year, including community colleges) applying on behalf of faculty, and non-profit, non-academic organizations such as independent museums, observatories, research laboratories, and professional societies associated with educational or research activities.
24) Can non-academic organizations participate?
Yes. The solicitation explicitly included non-profit, non-academic organizations (for example, independent museums, observatories, research laboratories, and professional societies) associated with educational or research activities as eligible applicants.
25) Are industry and international partners allowed?
The solicitation encouraged productive partnerships that can involve academia, industry, and other organizations, including international participants, when such partnerships align with CDI objectives.
26) Did CDI require preliminary proposals before full proposals?
Yes. The competition schedule required preliminary proposals prior to full proposals.
27) When were full proposals accepted for Type I and Type II?
Full proposals for Type I and Type II were accepted during a submission window from April 20, 2009 through May 20, 2009, by 5 PM local time of the proposer.
28) When was the opportunity posted and when was it archived?
The opportunity was originally posted on September 9, 2008, and it was later archived on March 5, 2010.
29) Where are additional official details referenced?
Additional details were referenced under NSF Publication 08-604.
30) Is CDI limited to a single discipline?
No. CDI is explicitly multidisciplinary and spans many NSF directorates and research communities, with themes and expected impacts that cut across scientific, engineering, and social science domains.
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