Date

NSF Solicitation Reminders
Arctic Social Sciences
National Science Foundation

Archaeology and Archaeometry
Full Proposal Target Date: 1 December 2014
For further information, go to:
http://tinyurl.com/NSF-ArchaeologyArchaeometry

Interdisciplinary Behavioral and Social Science Research
Full Proposal Deadline Date: 2 December 2014
For further information, go to:
http://tinyurl.com/NSF-IBSSR


The National Science Foundation (NSF) reminds the Arctic Social Science
Community about the availability of two solicitations:

  1. Archaeology and Archaeometry
    Full Proposal Target Date: 1 December 2014
    For further information, go to:
    http://tinyurl.com/NSF-ArchaeologyArchaeometry

The goal of the Archaeology Program is to fund research which furthers
anthropologically relevant archaeological knowledge. In accordance with
the National Science Foundation's mission such research has the
potential to provide fundamental scientific insight. While within the
broad range of "archaeology" the focus is on projects judged to be
significant from an anthropological perspective, the Program sets no
priorities based on time period, geographic region or specific research
topic. The Program administers four competitions each of which is
described below. It also supports projects submitted under NSF-wide
competition guidelines. These include CAREER, EAGER, RAPID and Research
Experiences for Undergraduates Supplement requests.

  1. Interdisciplinary Behavioral and Social Science Research
    Full Proposal Deadline Date: 2 December 2014
    For further information, go to:
    http://tinyurl.com/NSF-IBSSR

The Interdisciplinary Behavioral and Social Science Research (IBSS)
competition promotes the conduct of interdisciplinary research by teams
of investigators in the social and behavioral sciences. Emphasis is
placed on support for research that involves researchers from multiple
disciplinary fields, that integrates scientific theoretical approaches
and methodologies from multiple disciplinary fields, and that is likely
to yield generalizable insights and information that will advance basic
knowledge and capabilities across multiple disciplinary fields.


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