Overview

Technological innovation has been a primary engine of human progress and advancement. But the exponential acceleration of technological change raises profound issues for individuals, the economy, and society. Traditional economics views growth as an aggregate phenomenon and leaves the major driver of growth - the advancement of human knowledge - largely unexplained. INET Oxford, in collaboration with a number of scholars around the world, is leading several projects that are attempting to develop a bottom-up theory of growth that is empirically grounded and has a truly endogenous view of innovation.

Questions include the impact of automation and AI on the future of work, technological dislocations across industries and geographies, growing concentrations of power amongst technology companies, and implications of technology for how we measure, organise, and regulate the economy. INET Oxford researchers are exploring these issues as well as working at a fundamental level to understand what drives technological progress, and how networks of knowledge evolve and create growth in the economy. Some of the practical and policy applications of this work include analyses of what jobs and geographies are at risk to technological disruption, how might we better forecast technological progress, how technology might accelerate the transition to a green economy, and how policymakers might develop more effective strategies for ensuring technological change leads to widely shared advancements in human wellbeing.

Related Projects


Recent Publications

Jan 2025
INET Working Paper
No. 2025-01 - Technological progress at national level: Increasing diffusion speeds with ever-changing leaders and followers
Brendon Tankwa ,  Lucas Vazquez Bassat ,  Pete Barbrook-Johnson ,  J. Doyne Farmer
Sept 2024
Journal
Large language models reduce public knowledge sharing on online Q&A platforms
in PNAS Nexus
R. Maria del Rio-Chanona ,  Nadzeya Laurentsyeva ,  Johannes Wachs
Sept 2024
INET Working Paper
Aug 2024
Journal
The need for better statistical testing in data-driven energy technology modeling
in Joule
Lennart Baumgärtner ,  Rupert Way ,  Matthew Ives ,  J. Doyne Farmer
Aug 2024
Article
Jul 2024
Paper
SignedLouvain: Louvain for signed networks
John Pougué-Biyong ,  Renaud Lambiotte
Jul 2024
Journal
Jun 2024
Journal
Measuring productivity dispersion: a parametric approach using the Lévy alpha-stable distribution
in Industrial and Corporate Change
Jangho Yang ,  Torsten Heinrich ,  Julian Winkler ,  François Lafond ,  Pantelis Koutroumpis ,  J. Doyne Farmer
May 2024
Journal
Can the UK achieve net zero greenhouse gas emissions by 2050?
in National Institute Economic Review
David F. Hendry ,  Jennifer L. Castle
Mar 2024
Journal
Why Is Productivity Slowing Down?
in Journal of Economic Literature
Ian Goldin ,  Pantelis Koutroumpis ,  François Lafond ,  Julian Winkler
View All Related Publications

Who's Involved