Division of Civil, Mechanical and Manufacturing Innovation
Civil Infrastructure Systems
Apply to PD 15-1631 as follows:
For full proposals submitted via FastLane:
standard Grant Proposal Guide proposal preparation guidelines apply.
For full proposals submitted via Grants.gov:
the NSF Grants.gov Application Guide; A Guide for the Preparation and Submission of NSF Applications
via Grants.gov Guidelines applies.
(Note: The NSF Grants.gov Application Guide is available on the Grants.gov website and on the
NSF website at: http://www.nsf.gov/publications/pub_summ.jsp?ods_key=grantsgovguide)
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
Full Proposal Window: September 1, 2016
September 15, 2016
September 1 - September 15, Annually Thereafter
Full Proposal Window: February 1, 2017
February 15, 2017
February 1 - February 15, Annually Thereafter
Due dates repeat annually. Please reference the CMMI main page for further specifics concerning unsolicited proposal submission windows.
The program does not support research with a primary contribution pertaining to individual infrastructure components, materials, sensor technology, extreme event modeling, climate modeling, human factors, structural engineering, geotechnical engineering, environmental sciences, or hydrologic engineering, since these topics do not fall within the scope of the CIS program. Researchers focused in these areas are encouraged to contact the Infrastructure Management and Extreme Events (IMEE), Geotechnical Engineering and Materials (GEM), or Structural and Architectural Engineering and Materials (SAEM) programs. Additionally, researchers may consider contacting the Hydrologic Sciences program in the Earth Sciences Division (EAR) or the Physical and Dynamic Meteorology (PDM) program in the Atmospheric and Geospace Sciences Division (AGS) of the Directorate for Geosciences.
The CIS program encourages knowledge dissemination and technology transfer activities that can lead to broader societal benefit and implementation for provision of physical civil infrastructure systems.
The Civil Infrastructure Systems (CIS) program supports fundamental and innovative research necessary for designing, constructing, managing, maintaining, operating and protecting efficient, resilient and sustainable civil infrastructure systems. Research that recognizes the role that these systems play in societal functioning and accounts for how human behavior and social organizations contribute to and affect the performance of these systems is encouraged. While component-level, subject-matter knowledge may be crucial in many research efforts, this program focuses on the civil infrastructure as a system in which interactions between spatially-distributed components and intersystem connections exist. Thus, intra- and inter-physical, information and behavioral dependencies of these systems are also of particular interest. Topics pertaining to transportation systems, construction engineering, infrastructure systems and infrastructure management are a focus of this program. Research that considers either or both ordinary and disrupted operating environments is relevant. Methodological contributions pertaining to systems engineering and design, network analysis and optimization, performance management, vulnerability and risk analysis, mathematical and simulation modeling, exact and approximate algorithm development, control theory, statistical forecasting, dynamic and stochastic systems approaches, multi-attribute decision theory, and incorporation of behavioral and social considerations, not excluding other methodological areas or the integration of methods, specific to this application are encouraged. Additional research of interest exploits data/information, and takes advantage of relevant technological advances, such as social media. In general, research that has the promise of long-lasting, cascading (hopefully escalating) impact on the wider research community through its theoretical, scientific, mathematical or computational contributions is valued.
RSI Cluster Core Programs Overview
THIS PROGRAM IS PART OF
What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)
Map of Recent Awards Made Through This Program