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International Conference on «Data Analytics and Management in Data Intensive Domains»

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Aims and scope. Exponential growth of data practically in all activity areas, consolidating role to be played by informatics and IT for the development of methods and facilities for data analysis and management in various data intensive domains (DID), study of experience in applying these methods and stimulating their advancement have motivated organization of this conference. Main objective of this conference is to promote the acceleration of researches, improvement of their efficiency (quality and visibility of results, competitive ability) at the expense of the enhancement of methods and facilities for data analysis and management in DID. It is expected that the mutual complementarity of approaches in interdisciplinary DID will contribute to the creation of the corporate culture generalizing methods for data analysis and infrastructures development applicable in diverse DID.

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 data intensive domains (DID). 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, finance, etc., as well as specialists in the areas of statistics, informatics, data mining, machine learning, data science, new technologies and IT, business, etc. are invited.

Host organizers

  • Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences (FRC CSC RAS)
  • The faculty of Computational Mathematics and Cybernetics of Lomonosov Moscow State University (CMC MSU)
  • National Research Nuclear University MEPhI (NRNU MEPhI)
  • Moscow ACM SIGMOD Chapter

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