Biography

Jordan Kemp is a postdoctoral research fellow at the School of Geography and the Environment and INET. He is primarily focussed on delivering research for the ‘US Energy Policy in a World of Rapid Technological Advance’ project, funded by the Bezos Earth Fund. He also studies urban complexity and collective behaviour across scales. Jordan holds a BS in Physics from Tufts University and a PhD in Physics from the University of Chicago. Previously he was a researcher at the Urban Science Lab and the Mansueto Institute for Urban Innovation at UChicago. Before studying complex social systems, he conducted research in nanophysics and quantum computing.

Recent Events

24 Jun 25
@09:00

Fifth Interdisciplinary Workshop on Firm-Level Supply Networks

In Person Event

13 Jun 25
@13:00

INET Oxford Summer Research Update 2025

In Person Event

Research Areas

Methods and foundations of economics

Progress, technology & innovation

Economic inequality

The clean energy transition

Programme Teams

Complexity Economics

Related Projects

Estimating parameters and initial conditions for Agent Based Models

ABMs leverage the flexibility offered by computational simulations in order to avoid a number of problematic assumptions required by traditional modelling approaches.

Learning dynamics in random games

Equilibrium analysis underpins most of modern economic theory but if major economic downturns such as the 2008 crisis are rather caused by endogenous forces, this opens up the possibility for early-warning signals and targeted interventions. So, when is the equilibrium assumption reasonable?

Macroeconomics of the Seventh Carbon Budget

Developed in close collaboration with the Department for Energy Security and Net Zero (DESNZ), this project aims to provide provisional analysis in time to influence the 2026 Seventh Carbon Budget.

Opinion dynamics

Recent advances in the availability of cheap computational power and real-world data present researchers with an unprecedented opportunity to construct and test mathematical models of human behaviour.

Understanding the economy from the bottom-up

Our models are based on fine-grained data sets at the level of firms, products and industries, with the goal of providing a detailed understanding of the rich and heterogeneous behaviour underlying business cycles, inflation and interest rates, innovation, and long-run growth.