The annual IEEE International Conference on Data Engineering (ICDE) addresses research issues in designing, building, managing, and evaluating advanced data-intensive systems and applications. It is a leading forum for researchers, practitioners, developers, and users to explore cutting-edge ideas and to exchange techniques, tools, and experiences. We invite the submission of original research contributions. Topics of interest: We invite the submission of original research contributions in the following areas. AI for Database Systems Benchmarking, Performance Modeling, Tuning, and Testing Cloud Data Management Crowdsourcing Data Mining and Knowledge Discovery Data Models, Semantics, Query languages Data Stream Systems and Edge Computing Data Visualization and Interactive Data Exploration Database Security and Privacy Database technology for AI Database technology for Blockchains Distributed, Parallel and P2P Data Management Explainability, Fairness, and Trust in Data Systems and Analysis Graphs, Networks, and Semistructured Data Information Integration and Data Quality IoT Data Management Modern Hardware and In-Memory Database Systems Query Processing, Indexing, and Optimization Spatial Databases and Temporal Databases Text, Semi-Structured Data, IR, Image, and Multimedia databases Uncertain, Probabilistic, and Approximate Databases Very Large Data Science Applications/pipelines Workflows, Scientific Data Management General Chair: Chen Li, University of California, Irvine, USA. Research Program Committee Chairs: Lei Chen, Hong Kong University of Science and Technology, Hong Kong; Stefan Manegold, CWI, Amsterdam, Netherlands; Sharad Mehrotra, University of California, Irvine, USA.