Call for Paper

Important Dates

All deadlines are at 11:59 PM AoE.

Aim and Scope

The workshop aims to bring together researchers and practitioners from academia and industry to share their experiences and insights on applying causal inference and machine learning techniques to real-world problems in the areas of product, brand, policy, and beyond.

We welcome papers on a variety of topics, including but not limited to the following:

We encourage submissions from researchers and practitioners working in industry, government, and academia. We welcome papers that present new research results, works in progress, or case studies that showcase the application of causal inference and machine learning techniques to real-world problems.

All submissions will be peer-reviewed by the program committee, and accepted papers will be presented as contributed talks or posters during the workshop.

Submission and Formatting Instructions

For any questions or inquiries, please contact the workshop organizers at jeong@uber.com and zyzheng@berkeley.edu. We look forward to your submissions!