Intelligent Economics: An Explainable AI approach

Catalog description

This course explores the interdisciplinary conversation between economics and artificial intelligence (AI). In experiential education, this course shows how the two disciplines advance each other by an explainable AI approach: economics makes AI more explainable by clarifying causal relationship and AI empowers economic applications by increasing efficiency. Advanced research in Microeconomics, Macroeconomics, and Behavioral and Experimental Economics is covered with both general literature review and a case study. The course concludes with a capstone project where students produce academic research and automated products collaboratively in a team of Economist, Data Scientist, and Data Engineer. 001665