Our papers are the official record of our discoveries. They allow others to build on and apply our work. Each paper is the result of many months of research, so we make a special effort to make them clear, beautiful and inspirational, and publish them in leading journals.
A theoretical model of recursive innovation suggests that new technologies are recursively built up from new combinations of existing ones.
The distribution of product complexity helps explain why some technology sectors tend to exhibit faster innovation rates than others.
Forecast errors for simple experience curve models facilitate more reliable estimates for the costs of technology deployment.
The usefulness of components and the complexity of products inform the best strategy for innovation at different stages of the process.
In systems of innovation, the relative usefulness of different components changes as the number of components we possess increases.
Firms can harness the shifting importance of component building blocks to build better products and services and hence increase their chances of sustained success.
A formulation of Moore’s law estimates the probability that a given technology will outperform another at a certain point in the future.
The Yule-Simon distribution describes the diffusion of knowledge and ideas in a social network which in turn influences economic growth.
A quantitative assessment of the non-monetary advantage of diversification represents a country’s hidden potential for development and growth.