DSIT 2026 welcomes relevant paper submissions from researchers in academia, industry, and government, such as students, engineers, practitioners, scientists, and policy makers. We welcome paper submissions with original technical and scientific research results in relevant topics.

Main Topics of Interest:

Data Science:

Theory of Data Science
Foundations of Data Science
Data Standards and Protocols
Data Structures and Algorithms
Data Metrics and Metrology
Data and Knowledge Representation
Big Data Characteristics and Solutions
Data Semantics and Ontology
Parallel and Distributed Data Computing
Data and Information Visualization
Database Management
Deep Learning and Applications
Supervised Learning / Semi-Supervised Learning
Unsupervised / Self-Supervised Learning
Feature Selection and Representation
Dimensional Reduction Theory and Practice
Graph Mining / Network Analysis
Stream Data Processing Algorithms / Distributed Data Mining Algorithms
Text and Web Data Mining
Temporal, Spatial, and High Dimensional Databases
Multimedia Data Mining
Smart City Data Management
Educational Data Mining
Machine Learning and Its Applications
Data Science Applications
Natural Language Processing

Data and Information Technology:

Data and Information Privacy Technology
Data-Intensive Information Technology Applications
Unstructured / Structured Database Technology
Data-Intensive Software Engineering
Data Management Technology in Smart City
Information Retrieval and Recommendation Systems
Big Data Algorithms and Technology
Information Security and Assurance in Big Data
Cloud/Grid Computing Technology in Big Data
Real-time System Technology in Big Data
High-Performance Data Computing Technology
Compliance and Governance for Big Data
Big Data Meet Green Challenges
Next-Generation Big Data Platform and Technology
Data Ecosystem Concepts and Technology
Trust, Fairness, Diversity, and Transparency in Big Data
Scientific / Commercial / Industrial Data System
Scientific / Commercial / Industrial Case Studies in Big Data