معرفی
Dr. Stephen Hansen is a Professor of Economics at University College London's Department of Economics. His research focuses on leveraging unstructured data to create novel economic measures, particularly in organizational economics and monetary policy. He co-organizes the AMLEDS webinar series exploring machine learning applications in economics and maintains a GitHub repository for methodologies in unstructured data analysis. His work is supported by an ERC Consolidator Grant.
Research interests include text algorithms, large language models in economics, policy uncertainty, and remote work dynamics. He emphasizes high-resolution transaction data and computational linguistics for policy analysis, with a strong focus on central bank communication and its macroeconomic effects.
Key contributions include studies on monetary policy lags, firm-level responses to shocks, and AI-driven regression techniques. His recent work explores the integration of machine learning with traditional economic frameworks, addressing ethical and methodological challenges.
Awards include the prestigious ERC Consolidator Grant. He actively collaborates through initiatives like AMLEDS and shares tools via GitHub, fostering open methodology adoption in the field. His research bridges theoretical economics with practical applications in policy and organizational behavior.
