The Spatial Distribution of Public Support for AI Research

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

No 22-4, UNCG Economics Working Papers from University of North Carolina at Greensboro, Department of Economics

Abstract: A spatial distributional analysis of the population of Phase II research projects funded by the U.S. SBIR program in FY 2020 shows differences across states in projects focused on Artificial Intelligence (AI). AI is a relatively new research field, and this paper contributes to a better understanding of government support for such research. We find that AI projects are concentrated in states with complementary AI research resources available from universities nationally ranked in terms of their own AI research. To achieve a more diverse spatial distribution of AI-related technology development, the availability of complementary AI research resources must be expanded. We suggest that the National Science Foundation’s National AI Research Institutes represents an important step in this direction.

Keywords: Artificial intelligence (AI); Public sector program management; Small Business Innovation Research (SBIR); Agglomeration; University research (search for similar items in EconPapers)
JEL-codes: H54 O31 O38 R11 (search for similar items in EconPapers)
Pages: 24 pages
Date: 2022-06-07
New Economics Papers: this item is included in nep-big, nep-geo, nep-ino, nep-ppm, nep-sbm, nep-tid and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://bryan.uncg.edu/wp-content/uploads/2018/02/ ... n-of-AI-Research.pdf Full text (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found

Related works:
Journal Article: The spatial distribution of public support for AI research (2022)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ris:uncgec:2022_004

Access Statistics for this paper

More papers in UNCG Economics Working Papers from University of North Carolina at Greensboro, Department of Economics UNC Greensboro, Department of Economics, PO Box 26170, Bryan Building 462, Greensboro, NC 27402. Contact information at EDIRC.
Bibliographic data for series maintained by Albert Link ().