The scope of this event includes both theoretical and practical themes related to Data Science. The topics of interest of the workshop include (but are not limited to):
- Data Management and Analytics
- Data science theories and models
- Big data algorithms and methods
- Machine learning and deep learning
- Data analytics
- Data provenance
- Fault tolerance, reliability, and availability
- Security, privacy and trust management
- Data-intensive computing
- Network science
- Scientific data visualization
- Applications
- Data-driven applications in science, industry, and government, such as health, energy, astronomy, cybersecurity, transportation, agriculture, natural resources, and biodiversity.
- Large-scale data processing, including data streams and data integration
- Knowledge extraction from heterogeneous data sources