The NHLBI Page: On the Value of Portfolio Diversity in Heart, Lung, and Blood Research
In his widely acclaimed book "The Difference," Scott Page, a Professor at the University of Michigan, described a computer modeling experiment designed to test the "Diversity Trumps Ability Theorem." The Theorem postulates that "collections of diverse individuals outperform collections of more individually capable individuals." The computer model showed that diversity enhanced the ability to solve problems or make accurate predictions2, but only when 4 conditions were met: 1) the problems were difficult, 2) all problem solvers were "smart" (but not the smartest), 3) diversity was sufficient to assure that different problem solvers could exploit the solutions of others, and 4) the populations of problem solvers and collections of problem solvers were large. As all 4 of these conditions are clearly met in heart, lung, and blood (HLB) research, we were stimulated to examine the diversity of topics and mechanisms in the NHLBI portfolio. [Extract]
- Accepted August 10, 2012.
- Copyright © 2012, American Heart Association