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 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, Information Retrieval, and Multimedia Databases 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.