Target audience

DAMDID conference is a multidisciplinary forum of researchers and practitioners from various domains of science and research promoting cooperation and exchange of ideas in the area of data analysis and management in DID (domain is data intensive if its development is induced by elaboration of data that not necessarily might be “Big”). For participation at the conference the specialists from such DID as X-informatics (where X = astro, bio, chemo, geo, medicine, neuro, physics, etc.), social science, economy, etc., as well from the areas of statistics, informatics, data mining, machine learning, data science, new technologies and IT, business, etc. are invited.

We welcome papers on interdisciplinary research, but we encourage authors to focus not only on the problems of the domain, but also on the rationale for choosing computer science methods and to analyze the research results from a computer science perspective.

Categories of submissions and reviewing

• regular papers reflecting original scientific results (from 12 to 15 pages);
• short papers (work in progress) (from 6 to 11 pages);
• tutorials (proposals should be submitted to the PC co-chairs).

For reviewing process papers of any category are submitted to the Program committee in digital form by the EasyChair system in PDF in strict conformance with the LNCS Word or Latex format.

Requirements to the final versions of accepted papers will be declared in accordance with suggested journal requirements after the final decision of the program committee.

Two-round single-blind peer-reviewing will be organized. During the first round each paper (demo) is reviewed by at least three PC members. As a result of the first round a paper (demo) can be accepted as a full paper (demo), rejected or recommended to be revised w.r.t. remarks in reviews. All papers recommended to be revised are subjects for the second round of reviewing. During the second round a paper (demo) is reviewed again. As a result of the second round a paper (demo) can be accepted as a full paper (demo), short paper (demo) or rejected.