Granular Computing (GrC) is a general computation theory for effectively using granules such as classes, clusters, subsets, groups and intervals to build an efficient computational model for complex applications with huge amounts of data, information and knowledge. Though the label is relatively recent, the basic notions and principles of granular computing, though under different names, have appeared in many related fields, such as information hiding in programming, granularity in artificial intelligence, divide and conquer in theoretical computer science, interval computing, cluster analysis, fuzzy and rough set theories, neutrosophic computing, quotient space theory, belief functions, machine learning, databases, and many others.

GrC 2016 Special Symposium: Data Science and Computing will continue to address the issues related to Granular Computing and its applications. it will provide researchers from universities, laboratories and industry to present state-of-the-art research results and methodologies in theory and applications of granular computing, including rough sets as special form for granulation. The conference will also make it possible for researchers and developers to highlight their new research directions and new interactions with novel computing models. To broaden more impact on granular computing and its applications, It will focus on currently important major research tracks such as social network computing, cloud computing, computer security, data mining, soft computing ( neural networks, fuzzy systems, evolutionary computation, rough sets), e-Intelligence (Web intelligence, semantic Web, Web informatics), bioinformatics, medical informatics.