The synopsis for this grant opportunity is detailed below, following
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document that have been posted as of
10/31/2012
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Document Type:
Grants Notice
Funding Opportunity Number:
13-508
Opportunity Category:
Discretionary
Posted Date:
Oct 31, 2012
Creation Date:
Oct 31, 2012
Original Closing Date for Applications:
Aug 02, 2013
Preliminary Proposal Due Date (required) (due by 5 p.m. proposer's local time):
January 23, 2013
January 16, Annually Thereafter
Full Proposal Deadline(s):
August 2, Annually, by invitation only
Current Closing Date for Applications:
Aug 02, 2013
Preliminary Proposal Due Date (required) (due by 5 p.m. proposer's local time):
January 23, 2013
January 16, Annually Thereafter
Full Proposal Deadline(s):
August 2, Annually, by invitation only
Archive Date:
Sep 02, 2017
Funding Instrument Type:
Grant
Category of Funding Activity:
Science and Technology and other Research and Development
Category Explanation:
Expected Number of Awards:
200
Estimated Total Program Funding:
$72,000,000
Award Ceiling:
Award Floor:
CFDA Number(s):
47.074
--
Biological Sciences
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
The Division of Environmental Biology (DEB) supports fundamental research on populations, species, communities, and ecosystems. Scientific emphases range across many evolutionary and ecological patterns and processes at all spatial and temporal scales. Areas of research include biodiversity, phylogenetic systematics, molecular evolution, life history evolution, natural selection, ecology, biogeography, ecosystem structure, function and services, conservation biology, global change, and biogeochemical cycles. Research on organismal origins, functions, relationships, interactions, and evolutionary history may incorporate field, laboratory, or collection-based approaches; observational or manipulative experiments; synthesis activities; as well as theoretical approaches involving analytical, statistical, or computational modeling.
