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Funding the U.S. Scientific Training Ecosystem: New Data, Methods, and Evidence

Author

Listed:
  • Dror Shvadron
  • Hansen Zhang
  • Lee Fleming
  • Daniel P. Gross

Abstract

Using newly-collected data on the near-population of U.S. STEM PhD graduates since 1950, we examine who funds PhD training, how many graduates are trained in areas of strategic national importance, and the effects of public investment in PhD training on the scientific workforce. The U.S. federal government is by far the largest source of financial and in-kind support for STEM PhD training in America. We identify universities and fields where PhD training has a higher or lower intensity of government, industry, or philanthropic support, and the organizations and universities that fund and train the most PhDs in critical technology areas such as AI, quantum information technology, and biotechnology. Leveraging variation in government support across agencies and over time, we provide evidence suggesting that increasing government-funded PhD trainees increases PhD production roughly one-for-one. To support further research, we provide public datasets at multiple levels of aggregation, reporting PhD graduates by (i) critical technology area and (ii) source of support.

Suggested Citation

  • Dror Shvadron & Hansen Zhang & Lee Fleming & Daniel P. Gross, 2025. "Funding the U.S. Scientific Training Ecosystem: New Data, Methods, and Evidence," NBER Working Papers 33944, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:33944
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    Cited by:

    1. Boutros, Pierre & Diodati, Eliana & Pezzoni, Michele & Visentin, Fabiana, 2025. "Does Training in AI Affect PhD Students’ Careers? Evidence from France," MERIT Working Papers 2025-016, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

    More about this item

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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