Biography

Marco Pangallo is a research scientist at CENTAI (Center for Artificial Intelligence), a newly established research institute that aims at combining independent research on artificial intelligence and complex systems with industrial applications. Previously, he was a JSMF Postdoctoral Fellow at the Sant’Anna School for Advanced Studies, Italy. Marco obtained his PhD in Mathematics at the University of Oxford and was part of the Complexity Economics group at the Oxford Martin School's Institute for New Economic Thinking.

Marco is generally interested in understanding the economy quantitatively through a combination of data-driven and theoretical approaches. He believes that traditional economic models – based on optimization and equilibrium – are not best suited to quantitatively account for the complexity of the economy. Instead, agent-based models are the best tool to assimilate increasingly available granular data and produce more reliable economic forecasts.

Currently, Marco is collaborating with INET Oxford on projects that attempt to understand business cycles as a result of endogenous phenomena, combining several economic forces that have been proposed to generate business cycles, and validating theoretical results on extensive microeconomic and macroeconomic datasets.

Recent Publications

Sept 2024
INET Working Paper
No. 2024-06 - Forecasting Macroeconomic Dynamics using a Calibrated Data-Driven Agent-based Model
Samuel Wiese ,  Jagoda Kaszowska-Mojsa ,  Joel Dyer ,  Jose Moran ,  Marco Pangallo ,  François Lafond ,  John Muellbauer ,  Anisoara Calinescu ,  J. Doyne Farmer
Nov 2023
Journal
The unequal effects of the health–economy trade-off during the COVID-19 pandemic
in Nature Human Behaviour
Marco Pangallo ,  Alberto Aleta ,  R. Maria del Rio-Chanona ,  Anton Pichler ,  David Martin-Corral ,  Matteo Chinazzi ,  François Lafond ,  Marco Ajelli ,  Esteban Moro ,  Yamir Moreno ,  Alessandro Vespignani ,  J. Doyne Farmer
Jun 2023
Journal
Best-response dynamics, playing sequences, and convergence to equilibrium in random games
in International Journal of Game Theory
Torsten Heinrich ,  Yoojin Yang ,  Luca Mungo ,  Marco Pangallo ,  Alex Scott ,  Bassel Tarbush ,  Samuel Wiese
Dec 2022
Paper
The unequal effects of the health-economy tradeoff during the COVID-19 pandemic
Marco Pangallo ,  Alberto Aleta ,  R. Maria Del Rio Chanona ,  Anton Pichler ,  David Martin-Corral ,  Matteo Chinazzi ,  François Lafond ,  Marco Ajelli ,  Esteban Moro ,  Yamir Moreno ,  Alessandro Vespignani ,  J. Doyne Farmer
Sept 2022
Journal
Forecasting the propagation of pandemic shocks with a dynamic input-output model
in Journal of Economic Dynamics and Control
Anton Pichler ,  Marco Pangallo ,  R. Maria del Rio-Chanona ,  François Lafond ,  J. Doyne Farmer
Dec 2021
Journal
Towards a taxonomy of learning dynamics in 2 × 2 games
in Games and Economic Behavior
Marco Pangallo ,  James BT Sanders ,  Tobias Galla ,  J. Doyne Farmer
Feb 2021
INET Working Paper
No. 2021-18 - In and out of lockdown: Propagation of supply and demand shocks in a dynamic input-output model
Anton Pichler ,  Marco Pangallo ,  R. Maria del Rio-Chanona ,  François Lafond ,  J. Doyne Farmer
Jun 2020
Blog
Production networks and epidemic spreading: Re-opening the UK economy
Anton Pichler ,  Marco Pangallo ,  R. Maria del Rio-Chanona ,  François Lafond ,  J. Doyne Farmer
May 2020
INET Working Paper
No. 2020-12 - Production networks and epidemic spreading: How to restart the UK economy?
Anton Pichler ,  Marco Pangallo ,  R. Maria del Rio-Chanona ,  François Lafond ,  J. Doyne Farmer
Mar 2019
Journal
Residential income segregation: A behavioral model of the housing market
in Journal of Economic Behavior and Organization
Marco Pangallo ,  Jean-Pierre Nadal ,  Annick Vignes
Feb 2019
Journal
Best reply structure and equilibrium convergence in generic games
in Science Advances
Marco Pangallo ,  Torsten Heinrich ,  J. Doyne Farmer
Nov 2018
Paper
Mar 2018
INET Working Paper
No. 2017-07 - Best reply structure and equilibrium convergence in generic games
J. Doyne Farmer ,  Marco Pangallo ,  Torsten Heinrich
May 2017
INET Working Paper
No. 2017-06 - A taxonomy of learning dynamics in 2 × 2 games
J. Doyne Farmer ,  Tobias Galla ,  Marco Pangallo ,  James Sanders

Programme Teams