Conference Information

IRI 2026: International Conference on Information Reuse & Integration for Data Science

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Submission Date:
2026-04-01
Notification Date:
2026-05-15
Conference Date:
2026-07-31
Location:
Seattle, Washington, USA
Years:
27
QUALIS: b2   Viewed: 24537   Tracked: 6   Attend: 0

Call For Papers

IRI 2026 (International Conference on Information Reuse & Integration for Data Science) is a QUALIS B2 conference held in Seattle, Washington, USA on 2026-07-31. The paper submission deadline is 2026-04-01. Acceptance notifications are sent on 2026-05-15.

The IRI conference showcases novel and contemporary research addressing all facets of Data and Information Integration and Reuse in today's era of AI and Data Science – including both Scientific Theory and Technology-based Applications. The IEEE IRI conference and its workshops serve as a forum for researchers and practitioners from academia, industry, and government to present, discuss, and exchange ideas that address real-world problems with real-world solutions. Theoretical and applied papers are both welcome. The conference program will feature a regular research paper track, an application/industry paper track, and a poster paper track, and include several plenary speeches from academia, industry, and government as well as specialized workshops. Best Paper Awards: IRI'26 will also select and present a Best Paper Award, a Best Student Paper Award, and a Best Poster Award. The conference includes, but is certainly not limited to: Information Integration Multimodal Information Fusion Information Science & Theory AI and Security Symbolic AI Hallucination Detection and Mitigation in AI Novel AI applications in Computer Vision, Computer Forensics, Security (fake/forgery detection), Robotics, Recommender Systems, and Biomedical areas, etc. Information Reuse Data Lifecycle Reuse Afterlives of data in AI/ML models Preventing model collapse via improved data lineage Knowledge Graphs (KGs) Ontologies, variable alignment, contextual metadata Cross-domain and multilingual metadata systems Reuse in LLM and AI Training Data Interoperability and Cross-Disciplinary Reuse Linking datasets from different domains or formats Tools for data transformation and harmonization Reusable Systems Acceleration of AI System Reuse and Reuse Efficiency Brain-Computer Interface: Applications and Algorithms Reusable AI for Edge and IoT Reusable AI in Industry Applications Software and Systems Reuse and Reusability Software Sustainability and Reuse Economics Software Maintenance and Life-Cycle Management Software Reliability, Robustness, and Dependability System Applications - Autonomous Vehicles, Business, Education, Engineering, Healthcare and Medical Informatics, the Internet of Things, Math, Military, Multimedia, NLP, Robotics, Science, Security, Social Networking, Space, Vision, etc.
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