Closed · 14-527 · CFDA 47.050;47.074 · Discretionary

Genealogy of Life

Federal grant opportunity posted by U.S. National Science Foundation, cataloged on Grants.gov.

Varies
Award range
Closed
Status
-
Close date
6
Expected awards

The verdict

Genealogy of Life is a closed discretionary listing from U.S. National Science Foundation that offered Varies by applicant across 6 expected awards. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 1,338 other opportunities from U.S. National Science Foundation.

Varies
award range
Closed
application status
6
expected awards
47.050;47.074
CFDA program

Archived opportunity record

Genealogy of Life is closed. Check the agency catalog for replacement NOFOs. U.S. National Science Foundation still indexes 1,338 other opportunities here.

According to Grants.gov (extract vintage 2026-08-10), this record reflects the officially published listing. See methodology.

Deadline tracker

Application window closed

This listing is no longer accepting applications

Posted Dec 23 Closed

Est. Total Funding

$10,000,000

Expected Awards

6

Instrument

Grant

Description

All of comparative biology depends on knowledge of the evolutionary relationships (phylogeny) of living and extinct organisms. In addition, understanding biodiversity and how it changes over time is only possible when Earth's diversity is organized into a phylogenetic framework. The goals of the Genealogy of Life (GoLife) program are to resolve the phylogenetic history of life and to integrate this genealogical architecture with underlying organismal data. The ultimate vision of this program is an open access, universal Genealogy of Life that will provide the comparative framework necessary for testing questions in systematics, evolutionary biology, ecology, and other fields. A further strategic integration of this genealogy of life with data layers from genomic, phenotypic, spatial, ecological and temporal data will produce a grand 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 integration of various types of organismal data with phylogenies.This program also seeks to broadly train next generation, 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.

Catch-all / unrestricted eligibility mark · 14-527

Grants.gov marks Genealogy of Life with a catch-all / unrestricted eligibility code (Unrestricted / see official listing). Read the official announcement text for the real applicant filter — the code alone is not a door list. The extract does not mark applicant cost-sharing as required. Instrument: Grant. Funding-activity code maps to Science and Technology / R&D (ST). This eligibility-code string dominates the U.S. National Science Foundation book (614 peers, 46% of 1,339).

Code 99
Unrestricted / see official listing

Codes are Grants.gov eligibility category values from the extract vintage 2026-08-10. Confirm the full eligibility statement on the official listing or the Grants.gov eligibility reference.

Official Listing on Grants.gov

View full details, application forms, and submission instructions.

View on Grants.gov

Agency Contact

NSF grants.gov support grantsgovsupport@nsf.gov

What to do next

Genealogy of Life is closed; use the parent program and agency catalog for the next funding cycle.

  • Browse open federal opportunities in the same category when this listing is closed. Open opportunities
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Data sourced from the SAM.gov Assistance Listings and Grants.gov. See our methodology for details. Retrieved and formatted by PlainGrants