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The successful candidate will develop a novel Agent-Based Model (ABM) coded in Python to simulate how uncertainties from climate-related shocks cascade through the global financial system. You will explore the potential benefits of ABM beyond existing optimization paradigms in terms of incorporating uncertainty in cascading climate shocks. Your research will move beyond mapping cascades emerging from climate shocks and quantify the uncertainty they generate.
I am looking to hire two postdocs in Complexity Economics and/or Computational Social Science at The Alan Turing Institute. They will work on a large and exciting project on shocks and resilience, and will be closely collaborating with experts from other fields such as epidemiology, biology, data science, and spatial modelling.
Adaptive resilient economy: responding to shocks under boundedly-rational economic expectations
We focus on modeling economy as an adaptive complex system. Heterogeneous economic agents with bounded rationality and imperfect information make decisions and interact with each other giving rise to macroeconomic phenomena. Economies globally become more interconnected and prone to shocks (incl. climate-induced natural hazards). How do networked economies recover and evolve in face of adversities?