Dr Francois Lafond
Deputy Director, Complexity Economics Programme
Senior Research Associate, Smith School for Enterprise and the Environment, University of Oxford
François is a senior research officer and lead researcher at the Institute for New Economic Thinking, at the Mathematical Institute, and an associate member of Nuffield college. He received his PhD from UNU-MERIT / Maastricht University. His main areas of research are in the economics of innovation and productivity, environmental economics, networks and complex systems, applied econometrics and forecasting.
The rise of science in low-carbon energy technologies
21 Jan 21
Occupational mobility and automation: a data-driven network model
21 Jan 21
Production networks and epidemic spreading: Re-opening the UK economy
07 Jun 20
This column reports several re-opening scenarios for the UK economy, documenting their projected imp...
No. 2020-02 - Can stimulating demand drive costs down? World War II as a natural experiment
01 Jun 20
Our results indicate that decreases in cost can be attributed roughly equally to the growth of exper...
No. 2020-12 - Production networks and epidemic spreading: How to restart the UK economy?
21 May 20
We analyse the economics and epidemiology of different scenarios for a phased restart of the UK econ...
Supply and demand shocks in the COVID-19 pandemic: An industry and occupation perspective
17 Apr 20
We provide quantitative predictions of first order supply and demand shocks for the U.S. economy ass...
No.2020-04 - Technological interdependencies predict innovation dynamics
02 Mar 20
We propose a simple model where the innovation rate of a technological domain depends on the innovat...
No. 2019-14 - Measuring productivity dispersion: a parametric approach using the Lévy alpha-stable distribution
02 Oct 19
We examine in detail the distribution of labor productivity levels and growth, and observe that they...
Wright meets Markowitz: How standard portfolio theory changes when assets are technologies following experience curves
01 Apr 19
We apply portfolio theory to technologies following experience curves.
Long-run dynamics of the U.S. patent classification system
04 Jan 19
We argue that classification system changes and patent reclassification are common and reveal intere...
How well do experience curves predict technological progress? A method for making distributional forecasts
01 Mar 18
We develop a method to make distributional forecasts using experience curves.
Early identification of important patents through network centrality
24 Feb 18
We evaluate the ability of centrality metrics to early-identify significant patents.
How Predictable is Technological Progress?
01 Apr 16
A generalized version of Moore's law for unit costs is modelled as a correlated geometric random wal...