Specific areas of interest to MEDI2023 include but are not limited to:

    Modelling and Models Engineering
        Modelling languages and related standards
        Modelling in software and complex system engineering
        Formal methods, analysis, verification & validation
        Model-based testing and performance analyses
        Ontology-based modelling
        Heterogeneous modelling, model integration, interoperability, model transformation
        Collaborative modelling and model repositories
        Models for parallel and distributed computing
        Models as services and models monitoring
        Modelling for reuse, dependability and maintainability
        Models for privacy, security, trust, risk
        Data privacy and Security
        Models for Data Science
        Models for Explainable AI

    Data Engineering
        New models and architectures for databases
        Heterogeneous data, data Integration, Interoperability
        Data warehouses, OLAP, data mining and Analytics
        Extending Data Warehousing Technology
        Database system Internals, performance analysis, self-tuning benchmarking and testing
        Database security, personalization, recommendation
        Web databases, Knowledge Graphs
        Service based data management
        Service oriented applications
        Urbanization of database applications
        Data models for AI techniques and Machine Learning
        Data Quality
        Data Analytics

    Applications and tools
        Industry transfer, experiences
        Applications of modelling for Data Management
        Applications of modelling for Biomedical data and systems
        Modelling tools and experimentation
        Lessons learned and reports related to models/data engineering