At this moment, a large amount of data produced by various digital ecosystems of modern societies causes data deluge. Such data are collectively called big data. Big data contain data originating both in our physical real world and in social media. If different kinds of physical data and social data are analyzed in a mutually related fashion or any kind of social data are spatially and/or temporally analyzed, values which cannot be acquired otherwise will be discovered and utilized in various applications ranging from business to science.
Papers that fail to comply with length limit will be rejected. Submissions will be peer-reviewed by at least 3 peer reviewers. After the preliminary notification date, authors rebut by evidence and arguments all reviewer inquiries and their comments. Based on the rebuttal feedback, reviewers notify authors with the final decision. Selection criteria will include: relevance, significance, impact, originality, technical soundness, and quality of presentation. Preference will be given to submissions that take strong or challenging positions on important emergent topics related to Digital Ecosystems. At least one author should attend the conference to present the paper.
The workshop papers will be published in the conference Proceedings and indexed by the ACM Digital Library and DBLP.
Paper submission is available online via: EasyChair for MEDES 2017 website.