Machine learning and economics

How can economics and machine learning improve one another?

Researchers combine economic reasoning with machine-learning methods to advance both fields. Drawing on shared approaches to optimisation, probability and decision theory, the group explores prediction, causality, market design and adaptive decision-making.

Research examines how economic insights into incentives, inequality, strategic interactions and private information can inform machine learning, while techniques such as supervised and active learning offer new ways to analyse economic questions and complex data.

Particular attention is given to the social impact of machine learning, including how algorithmic systems affect people, firms and institutions, and their potential applications beyond commercial settings.

For further information on ML and economics