Opportunity Information: Apply for PD 12 8084
Apply for PD 12 8084
- The National Science Foundation in the science and technology and other research and development sector is offering a public funding opportunity titled "Computational and Data Enabled Science and Engineering" 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 47.070 Computer and Information Science and Engineering.
- This funding opportunity was created on Aug 11, 2015 and posted on Jul 17, 2012.
- Applicants must submit their applications by Sep 30, 2015 All proposals to the Division of Physics All proposals to the Directorate for Engineering Division of Chemical, Bioengineering, Environmental, and Transport Systems and Division of Civil, Mechanical and Manufacturing Innovation All proposals to the Division of Chemistry Chemical Theory, Models and Computational Methods All proposals to the Division of Astronomical Sciences Astronomy and Astrophysics Research Grants All proposals to the Division of Chemistry Chemical Measurement and Imaging All proposals to the Division of Astronomical Sciences Advanced Technologies and Instrumentation All proposals to the Division of Materials Research All proposals to the Office of Cyber Infrastructure All proposals to the Division of Mathematical Sciences All proposals to the Directorate for Engineering Division of Chemical, Bioengineering, Environmental, and Transport Systems, Division of Civil, Mechanical and Manufacturing Innovation, and Division of Electrical, Communications and Cyber Systems All proposals to the Division of Physics All proposals to the Division of Advanced Cyberinfrastructure. (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) Computational and Data Enabled Science and Engineering (CDSampE) opportunity is designed to support research projects where major advances in science or engineering depend on pushing the boundaries of computation and data. The basic idea is that modern research is increasingly driven by high-performance computing, large-scale simulation, and the ability to generate, store, and analyze massive digital data sets from experiments and observations. CDSampE looks for proposals that use these capabilities not as routine tools, but as the central engine of discovery, where progress hinges on developing or significantly advancing the underlying computational, mathematical, statistical, and data-centric approaches.
A defining feature of CDSampE is that it targets work with a strong "cyber" component that goes beyond what a normal disciplinary program would typically fund. In other words, it is not meant to be a general home for any project that uses computing or big data. Instead, NSF expects investigators to seek CDSampE consideration only when the project includes substantial cyber development or cyber science, such as creating new algorithms, new software architectures, new statistical or mathematical frameworks, new data curation and management methods, or new ways of integrating computation and data with measurement systems. If a proposal is submitted to CDSampE but does not clearly meet at least one of the program's additional cyber-focused criteria, NSF indicates it will be reviewed within the standard context of the relevant disciplinary program rather than under CDSampE.
The solicitation highlights several kinds of work it wants to encourage. One is the creation of next-generation mathematical, computational, and statistical theory and tools that are needed because computational modeling and simulation keep expanding in scale and complexity, and because digital experimental and observational data continue to grow rapidly. Another is integrated, end-to-end research that develops novel computational methods, algorithms, software, and data tools (including curation, visualization, mining, and analysis) to tackle previously intractable scientific and engineering questions, especially those involving large simulations or large, heterogeneous data collections. The program also explicitly welcomes higher-risk, more adventurous ideas that could establish new research paradigms, including innovative ways to generate and use digital data that significantly complement or reshape traditional experimental, observational, theoretical, and computational approaches. A further emphasis is on research at the interface of scientific frameworks, computing capabilities, measurement strategies, and physical systems, where advances in algorithms or data access methods can unlock progress beyond what would be expected if each area evolved separately.
CDSampE spans multiple NSF organizational areas, especially within the Directorate for Mathematical and Physical Sciences (MPS) and the Directorate for Engineering, and it also connects to the Division of Advanced Cyberinfrastructure (ACI). In MPS, the program focuses on the intersection of applied mathematics, statistics, computer science, and core mathematical and physical science disciplines. Within Astronomy (AST), the emphasis is on research where breakthroughs require new computational hardware, software, or algorithms, or depend on massive data sets, including fundamentally new approaches to large-scale simulation and complex data analysis. Within Chemistry (CHE), the program highlights paradigm-shifting work in computational chemistry, simulation, chemical data analysis, and cheminformatics, particularly at the algorithmic and software design levels and in data acquisition strategies. In Materials Research (DMR), CDSampE supports new computational tools and data-driven techniques that substantially enhance traditional methods for discovering materials, understanding materials phenomena, or advancing foundational knowledge. In Mathematical Sciences (DMS), the focus is on developing the next generation of mathematics and statistics needed for modern simulation and data-intensive research. In Physics (PHY), projects are expected to connect scientific frameworks with computing capabilities in a way that enables step-change progress, such as physics-driven algorithms, improved numerical models, and efficient ways to access and mine very large data sets.
In the Directorate for Engineering, CDSampE emphasizes high-fidelity simulation across scales, data-rich modeling, and the integration of computation with experiments or physical facilities. The program seeks transformative and often multidisciplinary engineering work that develops the next generation of theories, algorithms, methods, tools, and cyberinfrastructure. It also places value on intellectual partnerships that combine expertise across fields, subfields, or even different organization types, with proposals expected to clearly explain their relevance to engineering. Examples by division include: CBET, which supports advanced modeling and simulation for chemical and biochemical systems, bioengineering and living systems, sustainable energy and environmental systems, and transport and thermal-fluid systems; CMMI, which supports higher-fidelity modeling and data-driven methods for manufacturing, mechanics and materials, dynamics and control of complex systems, resilient infrastructure, and systems engineering and design; and ECCS, which supports innovative algorithms and high-performance computing approaches for modeling and simulating electronic, photonic, and electromagnetic devices and systems relevant to electronics, communications, sensing, and related areas. Separately, within ACI, CDSampE supports research directly in cyberinfrastructure itself, with an emphasis on broadly usable solutions that can benefit multiple disciplines, including sustainable, secure, and integrated CI approaches.
From a submission and identification standpoint, proposals seeking CDSampE consideration are expected to signal that intent by beginning the proposal title with the acronym "CDSampE." The program also notes that supplements to existing awards may be considered when they introduce one or more of the program's cyber-focused components. Administrative details in the provided listing identify this as an NSF discretionary grant opportunity with no cost sharing requirement and broad eligibility (open to any applicant type, subject to any additional eligibility language in the full solicitation). The opportunity is associated with CFDA numbers 47.041 (Engineering), 47.049 (Mathematical and Physical Sciences), and 47.070 (Computer and Information Science and Engineering). The listing also shows historical dates (original posting in 2012, with later administrative updates and an archive date in 2018), so applicants would typically need to consult the full NSF program description or the current NSF funding pages to confirm whether an active version of the program is open and what current deadlines, requirements, and participating programs apply.
NSF CDS&E (Computational and Data Enabled Science and Engineering) FAQ
What is the NSF CDS&E opportunity?
NSF Computational and Data Enabled Science and Engineering (CDS&E) is a research funding opportunity intended for projects where major advances in science or engineering depend on pushing the boundaries of computation and data. It targets work where high-performance computing, large-scale simulation, and/or massive digital data sets are not just helpful tools, but the core driver of discovery.
What types of projects is CDS&E trying to support?
CDS&E supports projects that rely on developing or significantly advancing the underlying computational, mathematical, statistical, and data-centric approaches needed to enable breakthroughs. This can include new algorithms, new software architectures, new mathematical or statistical frameworks, new data curation and management methods, and new ways to integrate computation and data with measurement systems.
How is CDS&E different from a typical disciplinary NSF program?
CDS&E is not meant to be a general home for any project that uses computing or big data. A defining feature is a strong cyber component that goes beyond what a normal disciplinary program would typically fund. NSF expects proposals to seek CDS&E consideration only when substantial cyber development or cyber science is central to the project.
What does NSF mean by a "strong cyber component" in CDS&E?
Based on the provided description, a strong cyber component can include substantial work such as:
- Creating new algorithms
- Developing new software architectures
- Advancing statistical or mathematical frameworks
- Developing new data curation, management, or access methods
- New ways of integrating computation and data with measurement systems
- Research directly in cyberinfrastructure (especially in ACI), emphasizing broadly usable solutions
If my project uses computing and large data sets, does it automatically fit CDS&E?
No. The program description emphasizes that CDS&E is not a general-purpose program for projects that merely use computation or big data in routine ways. The project should hinge on significant cyber-focused advances (for example, new algorithms, new software, or new data methods) rather than treating computing/data as standard tools.
What happens if a proposal is submitted to CDS&E but does not meet the cyber-focused criteria?
NSF indicates that if a proposal submitted for CDS&E consideration does not clearly meet at least one of the additional cyber-focused criteria, it will be reviewed within the standard context of the relevant disciplinary program rather than under CDS&E.
What kinds of research themes does the solicitation highlight?
The description highlights several themes, including:
- Next-generation mathematical, computational, and statistical theory and tools needed for increasingly complex modeling/simulation and rapidly growing digital data
- End-to-end research developing novel computational methods, algorithms, software, and data tools (including curation, visualization, mining, and analysis) for previously intractable questions
- Higher-risk, more adventurous ideas that could establish new research paradigms, including innovative ways to generate and use digital data
- Work at the interface of scientific frameworks, computing capabilities, measurement strategies, and physical systems, where integrated advances unlock step-change progress
Does CDS&E encourage higher-risk or unconventional research?
Yes. The program explicitly welcomes higher-risk, more adventurous ideas that could establish new research paradigms, including innovative approaches to generating and using digital data that significantly complement or reshape traditional experimental, observational, theoretical, and computational methods.
Which NSF directorates and divisions are associated with CDS&E?
CDS&E spans multiple NSF organizational areas. The description notes strong connections across the Directorate for Mathematical and Physical Sciences (MPS), the Directorate for Engineering, and links to the Division of Advanced Cyberinfrastructure (ACI).
What is the focus of CDS&E within MPS (Mathematical and Physical Sciences)?
Within MPS, CDS&E focuses on intersections among applied mathematics, statistics, computer science, and the core mathematical and physical science disciplines. The description also lists division-level emphasis areas for AST, CHE, DMR, DMS, and PHY.
What kinds of projects are emphasized in Astronomy (AST) under CDS&E?
In Astronomy (AST), the emphasis is on research where breakthroughs require new computational hardware, software, or algorithms, or depend on massive data sets. This includes fundamentally new approaches to large-scale simulation and complex data analysis.
What kinds of projects are emphasized in Chemistry (CHE) under CDS&E?
In Chemistry (CHE), the program highlights paradigm-shifting work in computational chemistry, simulation, chemical data analysis, and cheminformatics, particularly at the algorithmic and software design levels and in data acquisition strategies.
What kinds of projects are emphasized in Materials Research (DMR) under CDS&E?
In Materials Research (DMR), CDS&E supports new computational tools and data-driven techniques that substantially enhance traditional methods for discovering materials, understanding materials phenomena, or advancing foundational knowledge.
What kinds of projects are emphasized in Mathematical Sciences (DMS) under CDS&E?
In Mathematical Sciences (DMS), the focus is on developing the next generation of mathematics and statistics needed for modern simulation and data-intensive research.
What kinds of projects are emphasized in Physics (PHY) under CDS&E?
In Physics (PHY), projects are expected to connect scientific frameworks with computing capabilities to enable step-change progress. Examples mentioned include physics-driven algorithms, improved numerical models, and efficient methods to access and mine very large data sets.
What is the focus of CDS&E within the Directorate for Engineering?
Within Engineering, CDS&E emphasizes high-fidelity simulation across scales, data-rich modeling, and integrating computation with experiments or physical facilities. The program seeks transformative (often multidisciplinary) work developing next-generation theories, algorithms, methods, tools, and cyberinfrastructure, and it values intellectual partnerships across fields or organization types.
Which Engineering divisions are mentioned, and what examples are given?
The description provides examples by division:
- CBET: advanced modeling and simulation for chemical/biochemical systems, bioengineering and living systems, sustainable energy and environmental systems, and transport and thermal-fluid systems
- CMMI: higher-fidelity modeling and data-driven methods for manufacturing, mechanics and materials, dynamics and control of complex systems, resilient infrastructure, and systems engineering and design
- ECCS: innovative algorithms and high-performance computing approaches for modeling/simulating electronic, photonic, and electromagnetic devices and systems relevant to electronics, communications, sensing, and related areas
What role does the Division of Advanced Cyberinfrastructure (ACI) play in CDS&E?
Within ACI, CDS&E supports research directly in cyberinfrastructure itself, with an emphasis on broadly usable solutions that can benefit multiple disciplines. The description specifically points to sustainable, secure, and integrated cyberinfrastructure approaches.
How should I indicate that my proposal is seeking CDS&E consideration?
Proposals seeking CDS&E consideration are expected to signal that intent by beginning the proposal title with the acronym "CDS&E."
Are supplements to existing NSF awards allowed under CDS&E?
Yes. The information provided notes that supplements to existing awards may be considered when they introduce one or more of the program's cyber-focused components.
Is cost sharing required for this opportunity?
No. The listing identifies the opportunity as having no cost sharing requirement.
Who is eligible to apply?
The administrative details describe broad eligibility (open to any applicant type), subject to any additional eligibility language in the full solicitation.
What kind of grant is this listed as?
It is identified as an NSF discretionary grant opportunity.
Which CFDA numbers are associated with CDS&E in the listing?
The opportunity is associated with CFDA numbers 47.041 (Engineering), 47.049 (Mathematical and Physical Sciences), and 47.070 (Computer and Information Science and Engineering).
Are the dates in the listing current, and how should applicants verify deadlines?
The listing shows historical dates (original posting in 2012), later administrative updates, and an archive date in 2018. Based on that, applicants would typically need to consult the full NSF program description or current NSF funding pages to confirm whether an active version of the program is open and to verify current deadlines, requirements, and participating programs.
What should a strong CDS&E proposal emphasize, based on the description?
A strong fit should make it clear that the project depends on pushing computational and/or data capabilities beyond routine use, and that substantial cyber development is central to achieving the scientific or engineering advance. It should also clearly align with the relevant disciplinary or engineering context while demonstrating why CDS&E consideration is appropriate due to the cyber-focused contributions.
Does the program value multidisciplinary or cross-sector partnerships?
Yes. Within Engineering in particular, the description states that the program places value on intellectual partnerships combining expertise across fields, subfields, or different organization types, with proposals expected to clearly explain their relevance to engineering.
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