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Computational and Data-Enabled Science and Engineering (CDS&E)

Important information about NSF’s implementation of the revised 2 CFR

NSF Financial Assistance awards (grants and cooperative agreements) made on or after October 1, 2024, will be subject to the applicable set of award conditions, dated October 1, 2024, available on the NSF website. These terms and conditions are consistent with the revised guidance specified in the OMB Guidance for Federal Financial Assistance published in the Federal Register on April 22, 2024.

Important information for proposers

All proposals must be submitted in accordance with the requirements specified in this funding opportunity and in the NSF Proposal & Award Policies & Procedures Guide (PAPPG) that is in effect for the relevant due date to which the proposal is being submitted. It is the responsibility of the proposer to ensure that the proposal meets these requirements. Submitting a proposal prior to a specified deadline does not negate this requirement.

Supports research that uses new computational and data science approaches to advance knowledge and accelerate discovery in science and engineering.

Supports research that uses new computational and data science approaches to advance knowledge and accelerate discovery in science and engineering.

Synopsis

Large-scale simulations and the ability to accumulate massive amounts of data have revolutionized science and engineering. The goal of the Computational and Data-enabled Science and Engineering (CDS&E) meta-program is to identify and capitalize on opportunities for major scientific and engineering breakthroughs through new computational and data-analysis approaches and best practices. The CDS&E meta-program supports projects that harness computation and data to advance knowledge and accelerate discovery above and beyond the goals of the participating individual programs. The intellectual drivers may be in an individual discipline or cut across more than one discipline in various Divisions and Directorates. A CDS&E proposal should enable and/or utilize the development and adaptation of advances in research and infrastructure in computational and data science.

The CDS&E meta-program encourages research that pushes the envelope of science and engineering through computation and data, welcoming proposals in any research area supported by the participating divisions. A proposal may address topics that develop or enable interactions among theory, computing, experiment, and observation to achieve progress on hitherto intractable science and engineering problems. Areas of emphasis for CDS&E vary by program. PIs are advised to consult the "related programs" links below before submitting.

The CDS&E meta-program is not intended to replace existing programs that support projects involving computation or the analysis of large or complex data sets using established methods. Rather, proposals submitted to the CDS&E meta-program must have a significant component of computational or data science that goes well beyond what would typically be included in these programs. Any proposal submitted to the CDS&E program that is not responsive to this Program Description may be transferred to or reviewed within the context of an individual program. A proposal requesting consideration within the context of CDS&E should begin the title with the identifying acronym "CDS&E:". Supplement requests to existing awards may also be considered. A CDS&E proposal should include substantive science, engineering, or computing research. Algorithm and pilot software development supporting science and engineering may also be appropriate, depending on the program. Proposers who seek to implement proven, existing methods into robust cyberinfrastructure are referred instead to the program on Cyberinfrastructure for Sustained Scientific Innovation (CSSI).

A CDS&E proposal should be submitted to one of the "Related Programs" or Divisions by the associated submission window, deadline, or target date listed in the table below. In picking the most relevant program, PIs are advised to read program descriptions and solicitations carefully and consult with cognizant Program Officers before proposal preparation. Proposal submissions outside the receiving program's scientific scope may be transferred to a different program or returned without review.

 

Due Dates

DirectorateDivision and ProgramSubmission Window or Target Date

ENG

Division of Chemical, Bioengineering, Environmental, and Transport Systems

  September 01, 2024 - September 16, 2024

  September 01- September 15, Annually Thereafter

ENG

Division of Civil, Mechanical and Manufacturing Innovation

  September 01, 2024 - September 16, 2024

  September 01- September 15, Annually Thereafter

MPS

Division of Chemistry - Chemical Catalysis (CAT), Chemical Mechanism, Function, and Properties (CMFP), Chemical Synthesis (SYN)

  September 01, 2024 - September 30, 2024

  September 01 - September 30, Annually Thereafter

MPS

Division of Materials Research

  October 15, 2024

  October 15, Annually Thereafter

MPS

Division of Astronomical Sciences - Advanced Technologies and Instrumentation

  October 01, 2024 - November 15, 2024

  October 01 - November 15, Annually Thereafter

MPS

Division of Chemistry - Chemical Measurement and Imaging (CMI), Environmental Chemical Sciences (ECS), and Macromolecular, Supramolecular and Nanochemistry (MSN)

  October 01, 2024 - October 31, 2024

  October 1 - October 31, Annually Thereafter

MPS

Division of Mathematical Sciences

  October 15, 2024 - October 31, 2024

  October 15 - October 31, Annually Thereafter

MPS

Division of Astronomical Sciences - Astronomy and Astrophysics Research Grants

  October 01, 2024 - November 15, 2024

  October 01 - November 15, Annually Thereafter

MPS

Division of Physics: Investigator-Initiated Research Projects – Plasma Physics program

  November 20, 2024,

  Third Monday in November, Annually Thereafter

MPS

Division of Chemistry - Chemistry of Life Processes (CLP), Chemical Structure and Dynamics (CSD), Chemical Theory, Models and Computational Methods (CTMC)

  Full proposals accepted anytime

Program contacts

The CDS&E program includes participation from all Divisions within the Directorate for Mathematical and Physical Sciences (MPS) and the Division of Chemical, Bioengineering, Environmental and Transport Systems and the Division of Civil, Mechanical and Manufacturing Innovation within the Directorate for Engineering (ENG).

The appropriate contact for the CDS&E program in any Division is the Program Director for one of the participating programs in that Division, listed under "Related Programs" below. 

Christina Payne
cpayne@nsf.gov (703) 292-2895 ENG/CBET
Richard Dawes
rdawes@nsf.gov (703) 292-7486 MPS/CHE
Andreas A. Berlind
aberlind@nsf.gov (703) 292-5387 MPS/AST
Nigel A. Sharp
nsharp@nsf.gov (703) 292-4905 MPS/AST
Ryan Jorn
rjorn@nsf.gov (703) 292-4514 MPS/CHE
Daryl W. Hess
dhess@nsf.gov (703) 292-4942 MPS/DMR
Robert Hoy
rhoy@nsf.gov (703) 292-2340 MPS/DMR
Serdar Ogut
sogut@nsf.gov (703) 292-4429 MPS/DMR
Lisa G. Davis
lgdavis@nsf.gov (703) 292-5190 MPS/DMS
John E. Kolassa
jkolassa@nsf.gov (703) 292-8870
Hailiang Liu
hliu@nsf.gov (703) 292-2436 MPS/DMS
Jodi Mead
jmead@nsf.gov (703) 292-7212 MPS/DMS
Vyacheslav Lukin
VLUKIN@nsf.gov (703) 292-7382 MPS/PHY
Ronald D. Joslin
rjoslin@nsf.gov (703) 292-7030 ENG/CBET
Linkan Bian
lbian@nsf.gov (703) 292-8136 ENG/CMMI
Reha M. Uzsoy
ruzsoy@nsf.gov (703) 292-2681 ENG/CMMI
David Liberles
dliberle@nsf.gov (703) 292-8470 BIO/DBI
Marc Stieglitz
mstiegli@nsf.gov (703) 292-4354 GEO/OPP
Sheikh Ghafoor
sghafoor@nsf.gov (703) 292-7116 CISE/OAC

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