Abstract collage of science-related imagery

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

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 a Directorate. 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 programs. 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.

The CDS&E meta-program complements existing programs that support projects involving computation or the analysis of large or complex data sets using established methods. 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 for consideration within the CDS&E meta-program that is not responsive to this program description may, instead, be reviewed within the context of an individual program. 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 programs in the Office of Advanced Cyberinfrastructure (OAC).

A proposal requesting consideration within the context of CDS&E should begin the title with the identifying acronym "CDS&E:". A CDS&E proposal must be submitted to one of the "Related Programs." In picking the most relevant program, Principal Investigators are advised to read the program descriptions 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.

 

Participating Programs

Directorate

Funding Opportunity

ENG

Engineering (ENG): Chemical, Bioengineering, Energy, and Transport Systems (CBET)

ENG

Engineering (ENG): Civil, Mechanical and Manufacturing Innovation (CMMI)

MPS

MPS Astronomical Sciences Research Programs (MPS Astro)

MPS

MPS Chemistry Research Programs (MPS Chem)

MPS

MPS Materials Research Programs (MPS Materials)

MPS

MPS Mathematical Sciences Research Programs (MPS MathSci)

MPS

MPS Physics Research Programs (MPS Physics): Elementary Particle Physics - Experiment; Nuclear Physics - Experiment & Theory; Particle Astrophysics - Experiment; and Plasma Physics programs.

Program contacts

The CDS&E program includes participation from the Directorate for Mathematical and Physical Sciences (MPS) and the Directorate for Engineering (ENG).

Name Email Phone
Simon Schuler
Program Director, MPS Astro
sschuler@nsf.gov (703) 292-7203
Richard Dawes
Program Director, MPS Chemistry
rdawes@nsf.gov (703) 292-7486
Daryl Hess
Program Director, MPS Materials
dhess@nsf.gov (703) 292-4942
Vyacheslav Lukin
Program Director, MPS Physics
vlukin@nsf.gov (703) 292-7382
Yong Zeng
Program Director, MPS MathSci
yzeng@nsf.gov (703) 292-7299
Vu Dinh
Program Director, MPS MathSci
vdinh@nsf.gov (703) 292-4306
Maria Emelianenko
Program Director, MPS MathSci
memelian@nsf.gov
Ronald Joslin
Program Director, ENG CBET
rjoslin@nsf.gov (703) 292-7030
Alena Talkachova
Program Director, ENG CMMI
atalkach@nsf.gov (703) 292-2949