Dynamics, Control and Systems Diagnostics (DCSD)
|Jordan M. Bergemail@example.com||(703) 292-5365|
|Harry Dankowiczfirstname.lastname@example.org||(703) 292-8360|
|Irina Dolinskayaemail@example.com||(703) 292-7078|
|Robert Landersfirstname.lastname@example.org||(703) 292-2652|
PIs are encouraged to email the DCSD Program Directors a draft Project Summary following NSF format, prior to the submission of a full proposal to determine if the research topic aligns with the program portfolio.
Apply to PD 19-7569 as follows:
Full proposals submitted via FastLane or Research.gov: NSF Proposal & Award Policies & Procedures Guide proposal preparation guidelines apply.
Full proposals submitted via Grants.gov: NSF Grants.gov Application Guide: A Guide for the Preparation and Submission of NSF Applications via Grants.gov guidelines apply.
Important Information for Proposers
A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 20-1), is effective for proposals submitted, or due, on or after June 1, 2020. Please be advised that, depending on the specified due date, the guidelines contained in NSF 20-1 may apply to proposals submitted in response to this funding opportunity.
Full Proposal Accepted Anytime
Proposals submitted to other program announcements and solicitations, including the Faculty Early Career Development Program (CAREER), must meet their respective deadlines; please refer to the deadline dates specified in the appropriate announcement or solicitation. Proposals for EArly-concept Grants for Exploratory Research (EAGER) or Rapid Response Research (RAPID) can be submitted at any time but Principal Investigators must contact the cognizant program director prior to submission. Proposals for supplements or workshops can be submitted at any time, and PIs are encouraged to contact the cognizant PD prior to submission.
The Dynamics, Control and Systems Diagnostics (DCSD) program supports fundamental research on the analysis, measurement, monitoring and control of dynamic systems. The program promotes innovation in the following areas:
- Modeling: creation of new mathematical frameworks to apply tools of dynamics to physical systems
- Analysis: discovery and exploration of structure in dynamic behavior
- Diagnostics: dynamic methods that infer system properties from observations
- Control: methods that produce desired dynamic behavior