EconML: Economics for Machine Learning

Emphasis Across Both Themes

We especially encourage contributions along the following directions:

• Emerging domains: Submissions that are looking to motivate an emerging topic, problem or direction. Clearly articulated motivation and a rigorous formal model that can spur interesting discussion and motivate further inquiry.
• Unique economic properties: Solutions made possible by, or risks arising from, the unique properties of machine learning models and AI systems.
• Insights across scales: Work spanning multiple scales, e.g. connecting micro-scale phenomena to ecosystem-level analysis, or exploring systems at “intermediate” scales.
• Empirical evidence: Empirical evidence of economic phenomena, and empirical evaluation of theoretical models.

Submission Guidelines

• Style: Submissions must use the NeurIPS 2026 style file and be submitted as a PDF. Review process will follow the NeurIPS 2026 Main Track Handbook guidelines.
• Length: Submissions will be classified into two tracks based on paper length. For long papers, the main text of a submitted paper is limited to nine (9) content pages, including all figures and tables. For short papers, the main text of a submitted paper is limited to four (4) content pages, including all figures and tables. References and appendices are not included in the page limit, but the main text must be self-contained. Reviewers are not required to read beyond the main text.
• Anonymization: Submissions must be properly anonymized for double-blind review. Use \usepackage[dblblindworkshop]{neurips_2026} and \workshoptitle{Economics for Machine Learning} when importing the NeurIPS 2026 style files.
• Submission to multiple venues: Papers already accepted at venues with archival proceedings (including the NeurIPS main conference) will not be considered. We discourage dual submissions to multiple NeurIPS workshops — please submit to the one that best fits your work. Extended abstracts of papers under review at other conferences/journals can be submitted if this is ok for the conference/journal in question (if in doubt, please check with them first).
• Posters and spotlight presentations: Accepted papers will be presented as posters, and may also be invited to give a spotlight presentation.
• In-person attendance: All accepted papers are required to have at least one author present the paper in-person in Atlanta.
• Non-archival: Accepted contributions will not appear in formal proceedings.
• Reciprocal review: To ensure adequate reviewing coverage, qualified authors may be asked to serve as reviewers for the workshop. The submission form includes a reciprocal reviewing clause.
• LLM use: We follow the NeurIPS 2026 Main Track Handbook policy on LLM use.