After a decade of declining federal investment in research, Congress has increasingly prioritized university-based science R&D in an effort to spur regional economic development. One major initiative is the National AI Initiative Act of 2020, which created the National AI Research Resource (NAIRR) Task Force to develop legislation that would fund geographically dispersed access to AI research computing resources. This initiative and others, including the Technology, Innovation, and Partnership Directorate at NSF and the CHIPS and Science Act, embody the expectation that geographically targeted investments in research will promote economic growth in areas of the country that have lagged behind.
Continued federal research investment hinges on the availability of rigorous evidence showing that geographically targeted investments in science R&D in fact promote regional economic development. However, we currently lack reliable evidence on the local economic impacts of recent investments in university-based science R&D. Although there is some compelling historical evidence of the impact of prior investments in R&D on local economic growth (Kantor and Whalley 2019, Tartari and Stern 2021, Babina et al 2023), many are skeptical that these relationships will hold for recent federal research investments in advanced computing and manufacturing technologies (Frank et al 2019, Acemoglu et al 2022). The absence of evidence of the local economic returns to university-based research funding threatens the future of bipartisan political support for federal research investments.
To address this gap, the Social Science Research Council is developing an initiative, in partnership with the College and University Fund for the Social Sciences, to bring together leading social and behavioral scientists and funders to explore:
- what we know about the local economic impacts of federal investments in university-based science R&D;
- what we know about the specific kinds of science R&D investments that are most likely to lead to inclusive and geographically dispersed economic growth;
- the potential return on investment from expanding this knowledge base.
Resources
Overview
Science R&D and Inclusive Growth
Defining an Agenda for Social and Behavioral Science R&D
AGENDA FUND
Research Proximity and Productivity: Long-Term Evidence from Agriculture (2019)
Toward Understanding the Impact of Artificial Intelligence on Labor (2019)
More than an Ivory Tower: The Impact of Research Institutions on the Quantity and Quality of Entrepreneurship (2021)
Artificial Intelligence and Jobs: Evidence from Online Vacancies (2022)
Cutting the Innovation Engine: How Federal Funding Shocks Affect University Patenting, Entrepreneurship, and Publications (2023)
Research
NAS Division of Behavioral and Social Sciences and Education (DBASSE)
Foundations for Evidence-Based Policymaking Act of 2018
Institute for Research on Innovation and Science (IRIS)
National AI Research Resource (NAIRR) Task Force
NSF Directorate for Technology, Innovation, and Partnerships (TIP)
Research and Development: U.S. Trends and International Comparisons (2022)
Resources