AI4DT 2026

Deadlines
AI/CORE Unranked

AI4DT 2026

Workshop on Artificial Intelligence for Digital Twins: Challenges and Best Practices

1792566000000Maastricht, The NetherlandsOfficial workshop site Site reachable

AI4DT 2026 is the first edition of a workshop focused on artificial intelligence for digital twins, bringing together researchers and practitioners to share advances, challenges, and best practices in AI-driven digital twin systems. The event aims to foster community building among Benelux and international participants working at the intersection of AI and cyber-physical systems.

Official CFP Back to deadlines Verified September 9, 2026

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Full Submissions

Original full papers (max. 12 pages, not considering refs) or transferred papers from other venues, must be unpublished work.

Research Highlights

Short papers (2-4 pages, not considering refs) intended for PhD students, early-career postdoctoral researchers, and industry practitioners to present innovative or ongoing work that may not yet qualify as a full paper.

Research areas in scope

01

Topics of interest

Modeling & simulationMonitoring & maintenanceExplainable & trustworthy AIMulti-agent & federated DTsDomain applicationsEvaluation & benchmarks

Policies worth checking twice

  • Reviews will be single-blind; submissions must include authors' names and affiliations.
  • All submissions must be in English and use the Springer CCIS/LNCS format.
  • Submissions must be uploaded as a single self-contained PDF via OpenReviews.
  • Authors must include links to code/datasets used; additional files should be hosted in a public repository (e.g., GitHub) with clear instructions.
  • At least one author of each accepted paper must register for and present in person at BNAIC/BeNeLearn 2026.
  • Authors must disclose any use of generative AI tools in preparing the submission, specifying which tools were used and for what purpose.
  • Authors remain fully responsible for the accuracy, originality, and ethical compliance of their submission, including AI-generated content.
  • Reviewers are discouraged from using generative AI tools; if used, they must ensure accuracy and must not upload any part of a manuscript to external AI tools.

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026