Skip to main content

grant · indexed from Simpler.Grants.gov API

NIJ FY 2026 Invited to Apply - Advancing the Understanding of 3D Algorithms for Firearm Identification

National Institute of Justice

Published
30 Sept 2026
Deadline
07 Oct 2026
Coverage
US

This opportunity seeks applications for rigorous research and evaluation projects that will:1. Identify and inform the forensic community of best practices through the evaluation of existing and emerging laboratory protocols; and/or 2. Have a direct and immediate impact on laboratory efficiency and assist in making laboratory policy decisions.The intent of this program is to direct the findings of this research and evaluation toward the identification of the most efficient, accurate, reliable, and cost-effective methods for the identification, analysis, and interpretation of physical evidence for criminal justice purposes. Projects should address the challenges and needs of the forensic science community, including, but not limited to, the operational needs developed by Forensic Science Research and Development Technology Working Group (R&D TWG) meetings. More information can be found on NIJ’s website. Additional research needs of the forensic science community can be found at the National Institute of Standards and Technology’s (NIST) Organization of Scientific Area Committees (OSAC) website.NIJ seeks proposals that include robust, creative, and multi-pronged dissemination strategies that include strategic partnerships with organizations and associations that are best equipped to ensure that research findings lead to changes in policies and practices. Applicants are encouraged to propose multidisciplinary research teams to build on the complementary strengths of different methods and areas of subject matter expertise.

This opportunity seeks applications for rigorous research and evaluation projects that will:1. Identify and inform the forensic community of best practices through the evaluation of existing and emerging laboratory protocols; and/or 2. Have a direct and immediate impact on laboratory efficiency and assist in making laboratory policy decisions.The intent of this program is to direct the findings of this research and evaluation toward the identification of the most efficient, accurate, reliable, and cost-effective methods for the identification, analysis, and interpretation of physical evidence for criminal justice purposes. Projects should address the challenges and needs of the forensic science community, including, but not limited to, the operational needs developed by Forensic Science Research and Development Technology Working Group (R&D TWG) meetings. More information can be found on NIJ’s website. Additional research needs of the forensic science community can be found at the National Institute of Standards and Technology’s (NIST) Organization of Scientific Area Committees (OSAC) website.NIJ seeks proposals that include robust, creative, and multi-pronged dissemination strategies that include strategic partnerships with organizations and associations that are best equipped to ensure that research findings lead to changes in policies and practices. Applicants are encouraged to propose multidisciplinary research teams to build on the complementary strengths of different methods and areas of subject matter expertise. Only the applicant that received an official invitation letter from NIJ is able and eligible to apply. Please refer to that letter for eligibility requirements. The application will only be accepted from: Houston Forensic Science Center, Inc. For assistance with the requirements of this funding opportunity, please contact Jillian Conte at Phone: 202-451-7164 or Email: jillian.conte@usdoj.govjillian.conte@usdoj.gov

Provenance

Simpler.Grants.gov API(official channel)Data quality: Source-backed
Publisher
Simpler.Grants.gov API· US
Source system
Simpler.Grants.gov API — Official API or feed
Verification
Verified — the publisher's own channel
Published
— stated by the source
Last seen at source
Indexed by GLODA
Last updated
Record version
59c702cab764
How GLODA knows this — Source-backed · 1 fieldData quality: Source-backed
How each field is known
FieldHow we knowStateConfidence
Publication dateOfficial API or feedData quality: Source-backed100
Source
Simpler.Grants.gov API · Official API or feed · official-docs
Retrieval
seen · indexed
Record
59c702cab764 · source id 1f26c8f2-3ae1-49c6-9540-db5e71bc2d9f
Computed
provenance-v1

States describe GLODA's confidence in its own fields, never a judgement on the notice or its parties. Methodology

Open this grant in the GLODA terminal

The notice above is the public record. Signing in adds the analysis: saved views and alerts on searches like this one, workflow and pipeline, exports and full workspace tooling.