The synopsis for this grant opportunity is detailed below, following
this paragraph. This synopsis contains all of the updates to this
document that have been posted as of
10/04/2012
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Description of Modification
updated 4.26.13--rc;
Document Type:
Modification to Previous
Grants Notice
Funding Opportunity Number:
13-500
Opportunity Category:
Discretionary
Posted Date:
Oct 04, 2012
Creation Date:
Apr 26, 2013
Original Closing Date for Applications:
Feb 05, 2013
Letter of Intent Due Date(s) (required) (due by 5 p.m. proposer's local time):
December 04, 2012
First Tuesday in December, Annually Thereafter
Full Proposal Deadline(s):
February 05, 2013
First Tuesday in February, Annually Thereafter
Current Closing Date for Applications:
Feb 04, 2014
Letter of Intent Due Date(s) (required) (due by 5 p.m. proposer's local time):
December 04, 2012
First Tuesday in December, Annually Thereafter
Full Proposal Deadline(s):
February 05, 2013
First Tuesday in February, Annually Thereafter
Archive Date:
Mar 05, 2016
Funding Instrument Type:
Grant
Category of Funding Activity:
Science and Technology and other Research and Development
Category Explanation:
Expected Number of Awards:
20
Estimated Total Program Funding:
$12,000,000
Award Ceiling:
Award Floor:
CFDA Number(s):
47.041
--
Engineering Grants
47.049
--
Mathematical and Physical Sciences
47.050
--
Geosciences
47.070
--
Computer and Information Science and Engineering
47.074
--
Biological Sciences
47.075
--
Social, Behavioral, and Economic Sciences
47.076
--
Education and Human Resources
47.078
--
Polar Programs
47.080
--
Office of Cyberinfrastructure
Cost Sharing or Matching Requirement:
No
Eligible Applicants
Others (see text field entitled "Additional Information on Eligibility" for clarification)
Additional Information on Eligibility:
*PI Limit:
Due to this program's focus on interdisciplinary, collaborative research, a minimum of two collaborating investigators (PIs/Co-PIs) working in different disciplines is required. Applicants are urged to review the interdisciplinary, collaborative expectations of this program - described in the Program Description and Merit Review Criteria - which must be reflected in the project plans and project teams of all competitive proposals.
Agency Name
National Science Foundation
Description
The Cyber-Enabled Sustainability Science and Engineering (CyberSEES) program aims to advance interdisciplinary research in which the science and engineering of sustainability are enabled by new advances in computing, and where computational innovation is grounded in the context of sustainability problems.The CyberSEES program is one component of the National Science Foundation's Science, Engineering, and Education for Sustainability (SEES) activities, a foundation-wide effort aimed at addressing the challenge of sustainability through support for interdisciplinary research and education. In the SEES context, a sustainable world is one where human needs are met equitably without harm to the environment or sacrificing the ability of future generations to meet their own needs.Computational approaches play a central role in understanding and advancing sustainability. CyberSEES supports research on all sustainability topics that depend on advances in computational areas including optimization, modeling, simulation, prediction, and inference; large-scale data management and analytics; advanced sensing techniques; human computer interaction and social computing; infrastructure design, control and management; and intelligent systems and decision-making. Additionally, the widespread, intensive use of computing technologies also introduces sustainability challenges and motivates new approaches across the lifecycle of technology design and use. This program is a joint effort of all of the NSF organizations listed on the cover page and the Semiconductor Research Corporation (SRC), through its Energy Research Initiative (ERI) program. While the scope of CyberSEES is broad as detailed herein, the NSF and SRC ERI collaboration within CyberSEES focuses on cyber-enabled sustainability research that addresses computational aspects of smart infrastructures, in particular the smart electric grid.
The following files represent the modifications to this synopsis
with the changes noted within the documents. The list of files is
arranged from newest to oldest with the newest file representing the
current synopsis. Changed sections from the previous document are shown
in a light grey background.
