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About us

ISMIS provides a forum for sharing research results and promoting the transfer of scientific advances to industrial and socio-economic applications. The 2026 edition focuses on two key themes: the evaluation of AI explainability and the principles of responsible AI. With this focus, ISMIS 2026 addresses the challenges of developing fair, ethical, and trustworthy AI systems that are understandable to humans, can operate in complex real-world and social environments, are resilient to cyber-threats, and align with Environmental, Social, and Governance (ESG) principles.

Important Dates

Sun, Mar 1, 2026
Abstract Registration Deadline
Sun, Mar 8, 2026
Paper Submission Deadline
Mon, Apr 13, 2026
Notification of Acceptance
Tue, Apr 28, 2026
Camera-ready version

Paper Submission

Research Paper Submission Tracks

Machine learning
Natural Language Processing
Data Mining
Neural Networks
Knowledge Representation
Deep Learning
Soft Computing
Digital libraries
Anomaly detection
Generative ai
User Modeling
Intelligent User Interfaces
Autonomous Systems (UAVs, Robots, Agents …)
Causality and Machine Learning
Constraint-based Systems
Explainable AI (XAI)
Human Computation
Intelligent Agent Technology
Intelligent Data Processing and Analytics
Intelligent Information Retrieval
Knowledge Integration and Aggregation
Knowledge Visualization
Multi-Instance, Multi-Label and Multi-Task Learning
Online and Stream Learning
Recommender Systems
Responsible and Trustworthy AI
Security, Privacy and Ethics in AI
Symbiotic AI
Socially-aware Systems
Urban Traffic Control and Mobility
Web & Text Mining
Applications (Configuration, Internet of Things, Smart Cities, Healthcare, Music Information Retrieval, Games, Archeology, Earth Observing Systems, Business Process Management, …)

Call for Papers Description

Authors are invited to submit their original unpublished papers that demonstrate current research on one of the session topics of interest. Papers should be prepared in PDF form using the Springer LNCS/LNAI style (max 10 pages) and submitted via https://easychair.org/conferences?conf=ismis2026