Call For Papers

Research in mobile and social computing environments is now turning to novel concepts to address the challenge of data processing and analysing. The MWDA2016 workshop addresses issues of data management in mobile and social computing environments with a special focus on data processing. The goal of the workshop is to build a forum for researchers from academy and industry to investigate challenging and innovative research issues in the subject, which combines data analytics within mobile and social environment and to explore creative concepts, theories, innovative technologies and intelligent solutions. We intend this workshop to act as an initial place where people from different areas can find a forum to discuss issues of data management and processing in new and emerging mobile computing environments. Potential participants may come from communities of mobile computing, social computing, or any other areas related to data mining, processing and analysing and etc., in order to present their state-of-the-art progress and visions on the various overlaps across those disciplines.

Workshop topics

CFP PDF Version

CFP PDF Version is available here : Download

Paper Publication

The proceedings of the workshop will be published by Springer-Verlag in the Lecture Notes in Artificial Intelligence (LNAI) series (www.springer.com/lncs) (indexed by EI). Selected accepted papers will be invited to submit expanded versions for possible publication in a special issue of the Chinese Journal of Electronics (SCI-indexed) and a special issue of International Journal of Grid and High Performance Computing (EI-indexed).

Paper Submission

All submissions should be in English. Every research paper submitted to the workshop will undergo the reviewing process by at least two reviewers. A submission should be no more than 12 pages single spacing, including all figures. The submission of papers must be in PDF. Authors may download templates by the following links:

Submission website: https://easychair.org/conferences/?conf=mwda2016