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.