Sponsors (2)
The bill aims to reduce duplicate federal grant and research funding and strengthen detection of fraud—potentially saving taxpayer dollars and improving oversight—but it creates new administrative burdens, privacy risks, discretionary decision points (with limited appeal), and an exemption for universities that may shift costs and access away from smaller applicants.
Taxpayers and federal grant programs: reduce waste and save money by preventing duplicate or overlapping federal grant awards, freeing funds for new projects.
Federal grant administrators and Inspectors General: gain earlier detection tools and processes to spot duplicate awards and fraud, improving oversight and reducing improper payments.
Researchers and the scientific community: benefit from fewer duplicate research awards, which can free up funds for new research projects.
Nonprofits, state and local governments, and other applicants: face the risk of inconsistent or subjective denials because agency heads and Inspectors General have discretionary authority without a clear appeals process or uniform standard.
Researchers, universities, nonprofits and other applicants: will face increased administrative scrutiny, new reporting requirements, and possible mid‑grant compliance costs that raise applicant burden and program costs.
Colleges and universities: are expressly exempted from the duplication prohibition, allowing overlapping federal grants for higher education and potentially increasing complexity and costs for taxpayers.
Based on analysis of 5 sections of legislative text.
Introduced March 14, 2025 by Stephanie I. Bice · Last progress March 14, 2025
Prohibits executive agencies from awarding federal grants to applicants found to have submitted duplicative or fraudulent grant applications (with an exception for institutions of higher education). Directs the Office of Management and Budget (OMB) to build an electronic grant tracking and deconfliction system within one year to let agencies and Inspectors General check whether an applicant has applied for or received other federal grants for the same purpose, and requires an OMB-led report on using artificial intelligence to identify duplicate applications and fraud.