Quadratic Funding Will Replace Traditional Grant Mechanisms for Early-Stage Research
This infographic compares traditional grant funding with community-driven Quadratic Funding (QF), illustrating the hypothesis that QF can select for research with over double the citation impact per dollar.
Quadratic funding (QF), proposed by Buterin, Hitzig, and Weyl (2019), matches funding based on the NUMBER of contributors, not the amount. A project with 100 donors giving $10 each gets more matching than one donor giving $1,000. This mechanism optimally funds public goods by weighting broad community support over whale preference.
Gitcoin has distributed >$50M through QF. The model naturally selects for projects with genuine community demand rather than insider connections.
Hypothesis: Quadratic funding will prove to be a more efficient discovery mechanism for high-impact early-stage research than traditional peer-reviewed grants, because it aggregates distributed knowledge about which problems matter rather than relying on a small panel of reviewers. QF-funded research projects will show higher citation impact per dollar than NIH R21 (exploratory) grants.
Prediction: A science-specific QF platform will launch by 2027, and within 3 years its funded projects will demonstrate >2x the citation-per-dollar ratio of comparable NIH-funded exploratory grants.
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