IDA 2027: Symposium on Intelligent Data Analysis TBC Pisa, Italy, April 21-23, 2027

Why should you submit to (and participate in) the 25th International Symposium on Intelligent Data Analysis?

* IDA accepts all inspiring papers for both presentation and publication
* IDA promotes ideas over performance
* IDA symposia are intentionally small-scale and single-track to create an open atmosphere that encourages discussion

IDA is small-scale, single-track format encourages exchange of ideas.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome.

• Full papers introduce unconventional perspectives, challenge established assumptions, reveal unexpected insights, or open new research directions, even when they do not demonstrate state-of-the-art predictive performance.
• PhD Forum papers describing the problem, the goal and research questions, the planned approach and methods, and the expected results.

List of Topics

Topics of interest include, but are not limited to:

• Foundations and Novel Paradigms of Intelligent Data Analysis
• Machine Learning, Data Mining, and Pattern Recognition
• Statistical Methods for Data Analysis
• Representation Learning and Knowledge Discovery
• Causal Discovery, Inference, and Reasoning
• Explainable, Interpretable, and Trustworthy AI
• Generative AI and Foundation Models for Data Analysis
• Human-Centric and Social Data Analysis
• Information Visualization and Visual Analytics
• Graph, Network, and Relational Data Analysis
• Temporal, Spatial, and Multimodal Data Analysis
• Distributed, Decentralized, and Privacy-Preserving Data Analysis
• AI for Scientific Discovery, Evaluation, and Methodological Innovation

Committees

Organizing Committee

• See https://ida2027.eu/chairs/ for the updated list of organizing committee

Invited Speakers

• See https://ida2027.eu/invited-speakers/ for the updated list of the invited speakers

Publication

IDA 2027 proceedings will be published in LNCS (Springer Lecture Notes in Computer Science)

Contact

All questions about submissions should be emailed to francesca [dot] pratesi [at] isti [dot] cnr [dot] it