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):

  1. 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
  2. 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