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States with top-ranking university AI research programs garner a greater number of Phase II AI-related SBIR awards, according to a working paper from the Department of Economics at the University of North Carolina at Greensboro. Researchers there investigated state variations in the distribution of Phase II SBIR research projects focused on artificial intelligence (AI). The authors of the paper hypothesized that the state-by-state variations are related to the presence of a research university with a “Top 10” AI program in each state.

Accelerators, incubators and entrepreneurial assistance programs work to ensure their startups understand their product’s market competition, customers, and supply chain. As it turns out, that’s also good advice for small research-based firms trying to move from SBIR proof-of-concept funding to securing the larger Phase II awards.

Since 2005, the One North Carolina Small Business Program has made 423 SBIR/STTR matching awards worth nearly $26 million to more than 250 businesses throughout the state. A new assessment, which updates an earlier report, provides academic rigor to a standard program review. The results indicate that even beyond survey-based attestations to the program’s value, there is a statistically-significant impact of North Carolina’s funding for the competitiveness of recipients.

SBIR projects are less likely to fail if research teams are smaller, have more experience and include women investigators, according to a new working paper by Albert N. Link and Mike Wright. The authors also found that larger SBIR awards lower the chances that a project will be discontinued before completion. While the study focuses on projects supported through federal SBIR programs, the findings could have implications for other kinds of public R&D support.