Jordan Kemp

Biography

Jordan’s research in Multiscale Growth applies biophysics and population ecology to utilize the full diversity of growth data, rather than averaging it. By viewing growth as an adaptive process across organizational scales, similar to how organisms adapt, he aims to enhance economic and urban sociological tools for understanding human system responses to challenges. Working under the Emergent Engineering paradigm, he seeks to detect systemic changes in social adaptive systems and design mechanisms for coordination in response to emerging crises such as environmental changes, like job loss from AI or climate change. Jordan builds frameworks linking human decisions and information processing to macroscopic processes to better identify and respond to compositional changes, inequality, and social mobility barriers.

At INET Oxford, Jordan researches agent based models of labour dynamics and the stochastic dynamics of markets.

Jordan holds a PhD in Physics from the University of Chicago, an MS in Atomic Molecular and Optical Physics from the University of Chicago, and a BS in Physics from Tufts University.