The topics of interest include (but not limited to) the following:

* Mathematical, probabilistic and statistical models and theories for Data Science
* Data science meets social science
* Data science education and training practices and lessons
* Data science Applications in various domains
* Machine learning theories, models and systems
* Knowledge discovery theories, models and systems
* Structured and unstructured learning
* Deep learning and deep analytics
* Big data visualization, modeling and analytics
* Crowdsourcing and collective intelligence
* Security, trust and risk in big data
* Structure/group/community/sentiment mining
* Feature selection, transformation and construction
* Web Analytics