Computational and Data-Enabled Science and Engineering

The Computational and Data-Enabled Science and Engineering (CDS&E) meta-program supports projects that harness computation and data to advance knowledge and accelerate discovery. The program encourages research that pushes the envelope of science and engineering through computation and data, welcoming proposals in any area of research supported by the participating divisions. A CDS&E proposal should enable and/or utilize development and adaptation of advances in research and infrastructure in computational and data science. Some key areas of emphasis for CDS&E include: • Large-scale simulations and the ability to accumulate massive amounts of data • Computational and data-analysis approaches and best practices • Development and adaptation of advances in research and infrastructure in computational and data science • Interactions among theory, computing, experiment, and observation to achieve progress on hitherto intractable science and engineering problems • Algorithm and pilot software development supporting science and engineering The 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 normally be included in these programs.