Computational and Data-Enabled Science and Engineering (CDS&E) in Engineering
This program has been archived.
Important Information for Proposers
A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 16-1), is
effective for proposals submitted, or due, on or after January 25, 2016. Please be advised that, depending
on the specified due date, the guidelines contained in NSF 16-1 may apply to proposals submitted in response to this
Computational and Data-Enabled Science and Engineering (CDS&E) is a NSF-wide cross-disciplinary activity that coordinates relevant disciplinary and interdisciplinary programs at the intersection of mathematics and statistics, computer and computational science, and the core science and engineering disciplines. It is dedicated to the development and use of advanced computational methods, information processing, data mining and analysis, and advanced cyberinfrastructure to enable and execute transformative scientific discovery and engineering innovation, and to the education of experts and non-experts in computation, including workforce development and training.
The CDS&E in engineering (CDS&E-ENG) program recognizes the importance of engineering in CDS&E and vice-versa. Many natural and built engineering processes, devices and/or systems require high fidelity simulations over disparate scales that can be interrogated, analysed, modeled, optimized or controlled, and even integrated with experiments or physical facilities. This program accepts proposals that confront and embrace the host of research challenges presented to the science and engineering communities by the ever-expanding role of computational modeling and simulation on the one hand, and experimental and/or observational data on the other. The goal of the program is to promote the creation, development, and utilization of the next generation of theories, algorithms, methods, tools, and cyberinfrastructure in science and engineering applications.
The CDS&E-ENG program will support fundamental research that will address the aforementioned computational and data-related challenges in science and engineering. Proposals are expected to be relevant to engineering and to have cross-cutting and integrative themes.
What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)
Map of Recent Awards Made Through This Program