The "Duplicative Grant Consolidation Act" aims to prevent federal grant duplication and fraud by establishing a tracking system for grant applications and exploring the use of AI to identify redundancies.
Stephanie Bice
Representative
OK-5
The "Duplicative Grant Consolidation Act" aims to prevent the waste of federal funds by prohibiting agencies from awarding grants for the same purpose to applicants already funded by another agency, or to those who submit fraudulent applications. It mandates the creation of a government-wide electronic system to track grant applications and identify potential duplication across agencies. Additionally, it requires a report on the feasibility of using artificial intelligence to detect duplicative applications and instances of fraud and abuse.
This bill, officially the "Duplicative Grant Consolidation Act," aims to stop federal agencies from accidentally funding the same project twice. It puts rules in place to prohibit awarding grants if an applicant has already secured cash for the exact same purpose from another federal agency. There's a key exception, though: this specific rule doesn't apply to colleges and universities. The legislation also mandates a new digital system to track grant applications across the government and helps flag potentially fraudulent requests.
Imagine a local non-profit applies to both the Department of Health and the Department of Housing for exactly the same after-school program initiative. Under this bill (Sec 2), if they get funded by one agency, the other generally has to turn down their identical application. The idea is straightforward: prevent taxpayers from paying twice for the same outcome. However, the bill carves out a significant exception for institutions of higher education (Sec 2, Sec 5). Colleges and universities can potentially still receive grants from multiple agencies for the same stated purpose. While this might account for the scale and complexity of some academic research, it does raise questions about why other types of organizations don't get the same flexibility.
To make this duplicate-checking feasible, the bill orders the Office of Management and Budget (OMB) to create and roll out an electronic tracking system within one year (Sec 3). Think of it as a central, government-wide database. Agencies (and their Inspectors General) would use it to quickly check if an applicant, or even a specific research idea described in a proposal, is already getting federal money elsewhere. The system is specifically designed to identify when "substantially the same research" is proposed multiple times, or when "research objectives and designs are closely related" across different proposals or awards (Sec 3). This digital watchdog is intended to be the main enforcement tool for the 'no duplicates' rule.
The legislation also tasks OMB with exploring the use of artificial intelligence (AI) to potentially supercharge this oversight process (Sec 4). OMB needs to produce a report on whether AI tools could effectively and rapidly sniff out not just duplicate applications, but also broader patterns of "waste, fraud, and abuse" within the federal grant landscape. It's just a feasibility study at this stage, but it clearly signals a potential future where algorithms play a bigger role in how grant funding is monitored.
So, what does this practically mean if you or your organization applies for federal grants? If you're not affiliated with a university, you'll need to be meticulous in ensuring that applications submitted to different agencies are for genuinely distinct projects or purposes. The definitions of "same purpose" or "substantially the same research" (Sec 3, Sec 5) could become crucial points of contention, potentially creating hurdles for organizations trying to patch together funding for complex initiatives from multiple sources. While the stated goal is taxpayer savings and efficiency, the effectiveness hinges on clear implementation and how agencies interpret those key definitions. The university exemption (Sec 2) remains a significant factor, potentially smoothing the path for academic institutions while tightening the rules for everyone else.