Public Support for Research in Artificial Intelligence: A Descriptive Study of U.S. Department of Defense SBIR Projects

Farhat Chowdhury (), Albert Link and Martijn van Hasselt
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Farhat Chowdhury: University of North Carolina at Greensboro, Department of Economics

No 22-3, UNCG Economics Working Papers from University of North Carolina at Greensboro, Department of Economics

Abstract: We describe public support for AI research in small firms using data from U.S. Department of Defense-funded SBIR projects. Ours is the first collection of firm-level project information on publicly funded R&D investments in AI. We find that the likelihood of an SBIR funded research project being focused on AI is greater the larger the amount of the SBIR award. AI-focused research projects are associated with a 7.6 percent increase in average award amounts. We also find suggestive evidence that the likelihood of an SBIR project being AI-focused is greater in smaller-sized firms. Finally, we find that SBIR-funded AI research is more likely to occur in states with complementary university research resources.

Keywords: Artificial intelligence; machine learning; Department of Defense; Small Business Innovation Research program; agglomeration (search for similar items in EconPapers)
JEL-codes: O31 O38 (search for similar items in EconPapers)
Pages: 25 pages
Date: 2022-06-07
New Economics Papers: this item is included in nep-big, nep-ent, nep-ino, nep-ppm, nep-sbm and nep-tid
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Citations: View citations in EconPapers (6)

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Journal Article: Public support for research in artificial intelligence: a descriptive study of U.S. Department of Defense SBIR Projects (2022)
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Persistent link: https://EconPapers.repec.org/RePEc:ris:uncgec:2022_003

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