Exchange and stimulate innovative ideas of state-of-art data science approaches and technologies to collect, process, analyze, integrate, annotate and visualize Big Data

Promote interactions and collaborations among all scientists, researchers and practitioners who develop data science theories, algorithms and methods to deal with and analyze Big Data from different perspectives such as computer science, statistics, mathematics and other quantitative/computational sciences as well as domain-specific applications.

Present the novel findings and share experience of Big Data application projects and practice from academia, industries and governments.

Nurture and cultivate a new generation of interdisciplinary data scientists.