The Data Sciences, Analytics, and Technologies (DSAT) Symposium is an integral part of the overall IEEE COMPSAC conference. Complementing the COMPSAC theme “Building Digital Autonomy for a Sustainable World”, DSAT uniquely positions itself as a forum for both researchers and practitioners in Big Data as it relates to data sciences, data analytics, and associated technologies.  DSAT invites authors to present recent findings, innovations, theories, experiences, and ideas. Technical contributions accepted by DSAT will likely cover theory, applications, pragmatics, systems and services enabled by the Web, underlying technologies, data science, e-science, and concomitant big data analytics. The goal of DSAT is to deepen the understanding of, fostering innovation in, and sharing of practical applications around Big Data.

Topic areas to include, but not limited to: Applied data science, Anomaly detection, computational intelligence for Big Data analytics, Business analytics, Business informatics, Data information and knowledge, Data mining, Data warehousing, Exploring and visualizing data, Interactive visualization, Modeling and simulation, Privacy, and Security.

Some authors will be invited to submit expanded papers for the IEEE Transactions on Big Data journal COMPSAC special issue.

In partnership with the IEEE Big Data Initiative (bigdata.ieee.org), COMPSAC is hosting a data analytics and visualization competition. Sample datasets will be made available for the competition. Stay tuned to the COMPSAC website for more information.

In addition to regular papers we welcome short papers (6 pages) and fast abstracts (2 pages). Authors are invited to submit original, unpublished research work, as well as industrial practice reports. Simultaneous submission to other publication venues is not permitted except as highlighted on the Journal Publishing Opportunities page. In accordance with IEEE policy, submitted manuscripts will be checked for plagiarism; instances of alleged misconduct will be handled according to the IEEE Publication Services and Product Board Operations Manual.