to prepare an analytical review of modern scientific and technical literature;
to formulate general criteria for the functioning of the big data analysis system for astrophysical experiments and develop a list of the basic quantitative parameters of the system;
to develop a data description format for the KASCADE and TAIGA experiments and search and develop a method of aggregation of these data;
to develop a preliminary version of the particle type identification algorithm in the TAIGA experiment based on the machine learning method;
to develop the architecture of a system for storing, processing and analyzing big data of astrophysical experiments;
to develop a research stand on the basis of the KCDC system at SINP MSU to develop the proposed methods and algorithms;
to deploy the HubZero platform for filling it with educational materials for the preparation of students and graduate students in the field of particle astrophysics.
to prepare 3 articles for publication;
to prepare an interim report.