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