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.