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Pasteur's Quadrant

Donald Stokes's 1997 framework for research that simultaneously pursues fundamental understanding and practical application — the category Pasteur's career embodied and Stokes named after him.
Donald Stokes's Pasteur's Quadrant (1997) replaced the linear model of science — pure research feeds applied research feeds technology — with a two-dimensional matrix. One axis measures the quest for fundamental understanding; the other measures consideration of use. Bohr's Quadrant pursues understanding without immediate application. Edison's Quadrant pursues application without fundamental inquiry. Pasteur's Quadrant pursues both: use-inspired basic research driven simultaneously by the desire to understand mechanisms and the urgency of applying that understanding to human problems. Pasteur's work on fermentation, disease, and vaccination is the paradigmatic case. The framework reframes contemporary AI scientific achievements — AlphaFold, drug discovery platforms, epidemiological models — as Pasteur's Quadrant work pursuing both understanding and application through computational pattern detection.
Pasteur's Quadrant
Pasteur's Quadrant

In The You On AI Field Guide

Stokes developed the framework to resolve a policy problem: the linear model had fractured American research funding into basic-science and applied-science silos that failed to capture the majority of consequential research. Pasteur's career was the canonical counter-example. Every one of his investigations — from crystallography to

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