The conference invites computer scientists, engineers and educators to submit original research, application and education papers on topics of Data Science and Application, including but not limited to the following areas in four tracks:

Research Track 
●Basic Theory and Techniques for Data Science
●Mathematical Issues in Data Science
●Computational Theory for Data Science
●Big Data Management and Applications
●Data Quality and Data Preparation
●Evaluation and Measurement in Data Science
●Data Visualization
●Big Data Mining and Knowledge Management
●Infrastructure for Data Science
●Machine Learning for Data Science
●Data Security and Privacy
●Applications of Data Science
●Case Study of Data Science
●Multimedia Data Management and Analysis
●Data-driven Scientific Research
●Data-driven Bioinformatics
●Data-driven Healthcare
●Data-driven Management
●Data-driven eGovernment 
●Data-driven Smart City/Planet
●Data Marketing and Economics
●Social Media and Recommendation Systems
●Data-driven Security
●Data-driven Business Model Innovation
●Social and/or organizational impacts of Data Science

Industry Track
●Novel methods for data analytics
●Novel methods or tools for data visualization
●Novel methods or tools used in big data and its applications
Education Track
●Education using big data, intelligent computing or data mining, etc.
●Education research, methods and materials for data science and engineering 
Demo Track
●Research demo
●Industry Product Demo
●Education Demo