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

Dror Shvadron, Hansen Zhang, Lee Fleming and Daniel Gross

No 33944, NBER Working Papers from National Bureau of Economic Research, Inc

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.

JEL-codes: I23 I28 O31 O32 O33 O38 (search for similar items in EconPapers)
Date: 2025-06
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