NSF Dynamic Language Infrastructure - NEH Documenting Endangered Languages (DLI-DEL)
U.S. National Science Foundation
This funding partnership between the National Science Foundation (NSF) and the National Endowment for the Humanities (NEH) supports projects to develop and advance knowledge concerning dynamic language infrastructure in the context of endangered human languages — languages that are both understudied and at risk of falling out of use. Made urgent by the imminent loss of roughly half of the approximately 7,000 currently used languages, this effort aims to exploit advances in human-language technology to build computational infrastructure for endangered language research. The program supports projects that contribute to data management and archiving, and to the development of the next generation of researchers. Funding can support fieldwork and other activities relevant to the digital recording, documentation and analysis, and archiving of endangered language data, including the preparation of lexicons, grammars, text samples, and databases. Funding is available in the form of one- to three-year senior research grants and conference proposals. Fellowship support is available through a separate funding opportunity administered by NEH . Note: a conference proposal should generally be su
Deadline
2027-02-16
Who can apply
*Who May Submit Proposals: Proposals may only be submitted by the following: -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. -Tribal organizations and other American Indian, Alaska Native, and Native Hawaiian serving organizations. -Institutions of Higher Education (IHEs): Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their
Sources
Grants.gov. Last updated 2026-10-26.
Always confirm eligibility and deadlines on the funder's own page before applying.