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
12/21/2012
. If
updates have been made to the opportunity synopsis, update information
is provided below the synopsis.
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Document Type:
Grants Notice
Funding Opportunity Number:
13-527
Opportunity Category:
Discretionary
Posted Date:
Dec 21, 2012
Creation Date:
Dec 21, 2012
Original Closing Date for Applications:
Apr 15, 2013
Full Proposal Deadline(s):
April 15, 2013
April 15, Annually Thereafter
Current Closing Date for Applications:
Apr 15, 2013
Full Proposal Deadline(s):
April 15, 2013
April 15, Annually Thereafter
Archive Date:
May 15, 2013
Funding Instrument Type:
Grant
Category of Funding Activity:
Science and Technology and other Research and Development
Category Explanation:
Expected Number of Awards:
50
Estimated Total Program Funding:
$55,000,000
Award Ceiling:
$300,000
Award Floor:
$150,000
CFDA Number(s):
47.078
--
Polar Programs
Cost Sharing or Matching Requirement:
No
Eligible Applicants
Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility"
Additional Information on Eligibility:
Agency Name
National Science Foundation
Description
Scientific research, along with operational support of that research, is the principal activity of the U.S. Antarctic Program in Antarctica. The National Science Foundation's Antarctic Sciences Section fosters research on globally and regionally important scientific problems. In particular, the Antarctic Sciences Section supports research that expands fundamental knowledge of the region as well as research that relies on the unique characteristics of the Antarctic continent as a platform from which to support research. Antarctic fieldwork will only be supported for research that can only be performed or is best performed in Antarctica. The Antarctic Sciences Section strongly encourages research using existing samples, models, and data as well as research at the intersection between disciplines.
