Topics of interest
We invite the submission of original research contributions in the following areas as they relate to data management:
AI for Database Systems and Database Systems for AI
Benchmarking, Performance Modeling, Tuning, and Testing
Cloud Data Management
Crowdsourcing and Data Management
Data Mining and Knowledge Discovery from a Data Management Perspective (where scalability and efficiency are prominent aspects of the contribution)
Data Models, Semantics, Query languages
Data Stream Systems and Edge Computing
Very Large Data Visualization and Interactive Data Exploration
Database Security and Privacy
Distributed Ledgers and Blockchains
Distributed, Parallel and P2P Data Management
Explainability, Fairness, and Trust in Data Systems and Analysis
Graphs, Networks, and Semi-structured Data Management
Information Integration and Data Quality
IoT Data Management
Modern Hardware and In-Memory Database Systems
Query Processing, Indexing, and Optimization
Transaction Management
Spatial Databases and Temporal Databases
Text, Semi-Structured Data Management, Multimedia Databases
Information Retrieval from a Data Management Perspective (where scalability and efficiency are prominent aspects of the contribution)
Uncertain, Probabilistic, and Approximate Databases
Very Large Data Science Applications/Pipelines
Workflows, Scientific Data Management
We also welcome any original contributions that may cross the boundaries among areas or point in other novel directions of interest to the database research community.