Genealogy of Life (GoLife)CONTACTS
|Joseph Milleremail@example.com||(703) 292-7214|
|David P. Mindellfirstname.lastname@example.org||(703) 292-5113|
|Simon Malcomberemail@example.com||(703) 292-8227|
|Gordon Burleighfirstname.lastname@example.org||(703) 292-7836|
|Reed S. Beamanemail@example.com||(703) 292-7163|
|Judith E. Skogfirstname.lastname@example.org||(703) 292-7909|
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 funding opportunity.
Full Proposal Deadline Date: March 22, 2017
Fourth Wednesday in March, Annually Thereafter
Comprehensive understanding of life and how and why it changes over time depends on knowledge of the phylogeny (evolutionary relationships) of living and extinct organisms. The goals of the Genealogy of Life (GoLife) program are to resolve the phylogenetic history of all life’s diverse forms and to integrate this genealogical architecture with underlying organismal and environmental data.
The ultimate vision of this program is an open access, comprehensive Genealogy of Life that will enable the comparative framework necessary for testing questions in systematics, evolutionary biology, ecology, paleontology, and other fields. Strategic integration of this genealogy of life with data layers from genomic, phenotypic, spatial, ecological, geological, and temporal data will produce an extensive synthesis of biodiversity and evolutionary sciences. The resulting knowledge infrastructure will enable synthetic research on biological dynamics throughout the history of life on Earth, within current ecosystems, and for predictive modeling of the future evolution of life.
Projects submitted to this program should emphasize increased efficiency in contributing to a complete Genealogy of Life and strategic integration of various types of organismal and environmental data with phylogenies.
This program also seeks to broadly train the next generation of integrative phylogenetic biologists, creating the human resource infrastructure and workforce needed to tackle emerging research questions in comparative biology. Projects should train students for diverse careers by exposing them to the multidisciplinary areas of research within the proposal.
REVISIONS AND UPDATES
THIS PROGRAM IS PART OF