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Authors are invited to submit their original unpublished papers that demonstrate current research on one of the session topics of interest.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