Economic Machine Learning Lab

Where Machine Learning and AI Meet Economic Inquiry.

The EML Lab develops AI systems for economic analysis by combining econometric knowledge, empirical and domain expertise, customized machine learning, and modern AI.

ResearchEducationCollaboration

Building AI systems for economic analysis and decision-making.

EML begins with the economic problem rather than a particular AI technology. We combine economic and econometric structure, empirical and domain knowledge, customized machine learning, and modern AI to design systems suited to the information environment and decision needs of individual users. Transformers and other advanced AI architectures are used when they provide clear benefits, while econometric and machine-learning models remain valuable when they are better suited to the problem.

Adaptability · Robustness · Transparency

EML develops economic AI systems designed to adapt to changing economic environments, remain robust in noisy and evolving data, and provide economically meaningful and transparent interpretation.

Where economics, data, and computation meet.

The Lab focuses on methodological development, training, and collaboration in areas where modern economic data require new analytical tools.

Machine Learning

Methods adapted to economic questions and data structures.

Econometrics

Theory-grounded approaches for empirical research.

Large Data

Tools for high-dimensional economic environments.

Education

Training for students at multiple levels.

Practice

Knowledge exchange with researchers and practitioners.

Three connected pillars.

Each pillar reflects a practical part of the Lab’s identity: developing new methods, training students, and connecting research with real-world decision problems.

Research

Research in the use of machine learning for the effective analysis of large-dimensional economic data, including relevant theories and implementation procedures.

Education

Education of students at all levels on machine learning methodologies and background theories applicable to the analysis of large-dimensional economic data.

Collaboration

Knowledge exchange and collaboration between academia and industry to solve practical problems in decision making and prediction.

Supported by institutional and individual partners.

Institutional Supporters

College of Arts + Sciences: Indiana University

Department of Economics: Indiana University Bloomington

Individual Supporters

Ken & Dawn Weakley Foundation