U.S. federal grant notices of funding opportunity (NOFOs) posted between 2009 and 2024. The dataset contains over 40,000 non-defense grant notices, from which records mentioning artificial intelligence were selected and analyzed. The data was authored by Dan Bateyko and hosted on Harvard Dataverse.
Use Cases
- Analyzing the prevalence of AI mentions in federal grant solicitations based on the dataset's focus on NOFOs.
- Studying the stated goals and requirements for AI use by grant recipients based on the description of reviewed narratives.
- Comparing AI governance approaches in grantmaking versus procurement based on the paper's concluding discussion.
- Identifying trends in AI-specific judging criteria and restrictions within federal funding opportunities.
- Examining the relationship between grant objectives and AI adoption in public sector projects.
Strengths
- Dataset covers a 15-year time range from 2009 to 2024.
- Contains over 40,000 non-defense federal grant notices, providing a substantial base for analysis.
- Focuses on a specific policy mechanism (NOFOs) for AI governance, offering a novel research angle.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count for the subset mentioning AI is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- U.S. federal grants website.
- Collection Method
- Records were scraped or collected from the federal grants website and filtered for mentions of AI.
- Time Range
- 2009 to 2024
- Freshness
- Last updated 2026-05-21 18:23:32; freshness should be verified.
- Geography
- United States