Scientific Grant Funding

34 Pages Posted: 30 Mar 2020 Last revised: 22 Jun 2023

See all articles by Pierre Azoulay

Pierre Azoulay

Massachusetts Institute of Technology (MIT) - Sloan School of Management; National Bureau of Economic Research (NBER)

Danielle Li

Massachusetts Institute of Technology (MIT) - Sloan School of Management

Date Written: March 2020

Abstract

This chapter provides an overview of grant funding as an innovation policy tool aimed at both practitioners and science policy scholars. We first discuss how grants relate to other contractual mechanisms such as patents, prizes, or procurement contracts, and argue that, among these, grants are likely to be the most effective way of supporting early-stage, exploratory science. Next, we provide a brief history of the modern scientific grant and discuss the current state of knowledge regarding several key elements of the design of grant programs: the choice of program scope, the design of peer review, as well as approaches for creating incentives for risk-taking and translation for grant recipients. We argue that, in making these choices, policy-makers might consider adopting a portfolio-based mindset that seeks a diversity of approaches, while accepting that high failure rates for individual projects is in fact part of an effective grant-making program. Finally, increased rigor in the evaluation of grant programs is likely to raise the quality of funded proposals. In particular, randomized controlled trials and other quasi-experimental techniques might enable policy makers to communicate and enhance the impact that these programs have on discovery and innovation, thereby creating a stronger justification for their expansion or continued existence.

Suggested Citation

Azoulay, Pierre and Li, Danielle, Scientific Grant Funding (March 2020). NBER Working Paper No. w26889, Available at SSRN: https://ssrn.com/abstract=3563957

Pierre Azoulay (Contact Author)

Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )

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National Bureau of Economic Research (NBER)

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Danielle Li

Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )

100 Main Street
E62-416
Cambridge, MA 02142
United States

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