Full papers
Original research contributions with substantial technical depth and experimental results.
Machine Learning/CORE Unranked
CDM 2026
UAI 2026 Workshop on Causality for Decision Making
The UAI 2026 Workshop (CDM 2026) is a venue for presenting and discussing cutting-edge research in causal discovery and modeling, fostering collaboration among researchers in machine learning, statistics, and related fields. It aims to advance methodologies and applications of causal inference through peer-reviewed contributions.
Key deadlines
Verified September 9, 2026Full paper
June 21, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
June 21, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short papers
Preliminary results, novel ideas, or work in progress with clear potential for discussion.
Journal-first papers
Papers that have been accepted or are under review at a journal, with a focus on extended versions of prior conference work.
Research areas in scope
01
Topics
Causal discovery from observational dataCausal discovery from interventional dataCausal representation learningCausal inference with confoundersCausal structure learning with latent variablesCausal models for time seriesCausal reasoning in AI systemsApplications of causal models in healthcare, economics, and social sciencesEvaluation metrics and benchmarks for causal modelsCausal fairness and ethics
Policies worth checking twice
- Submissions must be anonymized for double-blind review.
- Full papers are limited to 12 pages, short papers to 6 pages, and journal-first papers to 15 pages, all including references.
- Dual submission to other conferences or journals is not allowed during review.
- Author lists cannot be changed after the submission deadline.
- Authors must include a statement on the use of AI tools in the preparation of the submission.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026