Lifestyle, Decision-Making & Behaviour: Econometric analysis & experiments (2026-2028)
Abstract
This project investigates how lifestyle and environmental factors--such as sleep, diet, exercise, and temperature--affect cognitive performance and decision-making. Using biometric data from WHOOP's wearable fitness devices and millions of chess decisions from Chess.com, it will generate new causal evidence on optimising mental performance. The project applies machine-learning econometrics with large-scale experiments to identify strategies that improve decision-making. Expected outcomes include new insights into cognitive resilience and personalised interventions for peak mental performance. This should provide significant benefits such as policy recommendations for optimising workplace productivity and performance in high-stake professions.
