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ICISS' 2026: International Conference on Information Science and Systems

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Submission Date:
2026-07-15 Extended
Notification Date:
2026-08-05
Conference Date:
2026-08-27
Location:
Cambridge, UK
Years:
9
Organizer:
Viewed: 26571   Tracked: 6   Attend: 0

Conference Partner Index (CP-I)

49.2 / 100
Ranked #1,682 of 5,647 conferences · Top 30%

#81 of 253 in Information Systems & Web

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
62
Community attention (10%)
40
Public record completeness (15%)
35

Inputs used: Editions on record: 9 · Researchers following it here: 6 · Researchers who opened this page in the past 24 months: 16

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-02

Call For Papers

ICISS' 2026 (International Conference on Information Science and Systems) is an academic conference held in Cambridge, UK on 2026-08-27. The paper submission deadline is 2026-07-15 (extended). Acceptance notifications are sent on 2026-08-05.

2026 the 9th International Conference on Information Science and Systems encourages the community of multinational researchers to share their common experiences and discussions. In the history of the ICISS series, it has been held seven editions. With the support and acknowledgment from the delegates of the past series, we wish to pioneer a way to another outstanding event. We invite high-quality submissions describing significant, original, and unpublished results related to but not limited to any of the following topics: Track 1: Machine Learning and Artificial Intelligence - Deep Learning - Reinforcement Learning - Transfer Learning - Neural Networks - Bayesian Learning - Decision Trees - Evolutionary Computation Track 2: Data Science and Analytics - Big Data Analytics - Data Mining - Data Warehousing - Statistical Methods - Optimization Techniques - Machine Learning for Analytics Track 3: Information Retrieval and Knowledge Management - Information Retrieval Models - Web Search Engines - Recommendation Systems - Semantic Web - Ontology Engineering - Knowledge Representation and Reasoning Track 4: Natural Language Processing and Text Mining - Machine Translation - Text Classification - Sentiment Analysis - Named Entity Recognition - Text Summarization - Language Generation Track 5: Computer Vision and Image Processing - Object Recognition - Image Segmentation - 3D Imaging - Video Analysis - Image and Video Retrieval - Pattern Recognition Track 6: Human-Computer Interaction and Usability - User Modeling and Personalization - User Interfaces and Interaction Design - Human Factors and Ergonomics - Accessibility - Augmented Reality and Virtual Reality Track 7: Internet of Things and Cyber-Physical Systems - Sensor Networks - Wireless Sensor Networks - Smart Grids - Smart Homes - Cybersecurity and Privacy - Industrial IoT Track 8: Cloud Computing and Distributed Systems - Cloud Computing Architecture - Cloud Storage - Cloud Security - Grid Computing - Peer-to-peer Systems - Mobile Computing Track 9: Explainable Artificial Intelligence and Interpretable Machine Learning - Model Interpretability - Explainability Metrics - Fairness and Accountability - Visual Explanations - Human-AI Collaboration Track 10: Emerging Topics and Applications - Blockchain for Information Management - Quantum Information Science - Computational Social Science - Smart Cities and Urban Analytics - Healthcare Informatics - Financial Analytics
Last updated by Dunn Carl on

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