The experience of the Ministry of Education and Science of Russia in implementing international programmes of foreign academic mobility in 2014- 2017 is analyzed. Based on the data of the Interphysica Federal state-financed organization, trends in the number of programme participants over the past three years are reviewed.

The paper reviews and discusses the use of scientometric indicators in assessing the effectiveness of scientific research, as the basis for qualitative analysis and assessment of science development. Systematic analysis of the indicators for scientific development aims to improve the quality of S&T management. Nowadays the interest of governments in evaluating research for the purpose of assessing the impact of science funding increased. The paper presents an analysis of the publication activity in the Republic of Kazakhstan, as well as analysis of other scientometric indicators. The analysis is based on the data of Web of Science, Scopus, Web of Knowledge, Springer which allow to study the internal structure of areas of knowledge, follow the changes of the front of scientific research, identify the most rapidly developing scientific fields, scientific and technological trends that can serve as a basis for determining the main vectors of scientific development.

The article gives short overview of bibliometric research on Open access journals, its advantages and disadvantages. The bibliometric analysis was based on Russian articles (Research performance-RP) published in the Gold Open Access (OA) journals, indexed in SCI-E (Web of Science) for 2008-2017. Despite the high payment for articles, it was observed a steady increase in the share of Russian publications in Gold OA journals in the total Russian RP: from 7.8% in 2008 up to 13.7% in 2017. This is largely due to active international cooperation with Russian organizations and funding agencies from United States (31%), Germany (29%) and other industrialized countries. Government investment in the Program 5- 100 stimulated a significant increase in the share of Gold OA publications by these universities from 21.9% in 2012 to 40.8% in 2017. At the same time period, the share of RAS decreased from 64.8% to 52.9%. Russian scientists use extensively the highest quality foreign journals of the Gold OA system indexed in the SCI-E database, which includes two domestic journals.

The article considers its inventive activity of the Institute of Biological Physics (before and after the separation into the Institute of Theoretical and Experimental Biophysics and the Institute of Cell Biophysics). There is the analysis of the main directions of the patent and publication activity of the institute in this article. We show the leading organizations and countries with which these research institutions collaborate. There are main topics of the current developments presented. The article is devoted for the 55th anniversary of the Institute of Biological Physics.

The article presents the analysis of the two classification schemes that are integrated in Web of Science Core Collection - the “Web of Science Categories” and “Research Areas”. Our study was facilitated by the often conflicting information about these classifiers in periodicals and blogs on the Internet. Since the question of choosing a classifier for searching documents is of fundamental importance, the relevance of the answer to the question of how these classifiers differ from each other is obvious. It is revealed that both classifiers do not contain fundamental differences: 136 categories (directions) have a similar designation, and the search for documents revealed the complete identity of the results for 115 of these categories. Documents on narrow areas of “Web of Science Categories” are included in wider “Research Areas”. The article shows what the maximum shares they are included in these areas. Both classifiers are based on the principle of classifying the journal to a particular subject category, and the documents inherit all those thematic categories that have been assigned to primary journals. The only difference found in the classifiers “Web of Science Categories” and “Research Areas” is the breadth of subject categories (research areas).

Intelligent data mining is one of the most relevant areas of research in the modern world. The spectrum of its application is extremely wide and covers practically all scientific disciplines. The task of analyzing text collections with the purpose of establishing thematic headings, which should be classified as separate articles with observance of the principle of systematization “from the general to the particular” and the formation of the list of “nuclear” categories, is very actual. Clustering and, in particular, topic modeling is one of the methods of intelligent text analysis. The solution of the problem of clustering text collections is fundamentally ambiguously, and there are several reasons. Firstly, there isn’t known clearly the best criterion of quality of clustering. There are a lot of reasonable criteria, but they all can give different results. Secondly, the number of clusters is usually unknown in advance and determined according by some subjective criterion. Thirdly, clustering result depends significantly on the distance metric, the choice of which is usually subjective and set by the expert. Nowadays ensembles of models are becoming more widespread among the data mining techniques. They can significantly improve the accuracy of modeling results. The main purpose of this research is to increase the clustering effectiveness of textual information by using the ensemble thematic models. This article describes the usage of a voting algorithm, which is based on a group of different evaluation algorithms. Voting algorithm allows you to select the most appropriate solution, to accurately assess the quality of the topic model and to generate a set of relevant topics. Computational experiment demonstrates coincidence with the results of expert assessments and the evaluations of formal criteria in general. The concept for quality evaluation of thematic models ensemble, which uses the simple voting algorithm, was explored and proposed for further researches.

The article analyzes the problems of diversification of the higher education system in the light of the problems of scientific communications.With regard to the purpose of this study, as a key point was chosen the analysis of research activities of domestic universities and in particular-publication activity, as one of the criteria for assessing the effectiveness of research activities of higher education institutions. The author concludes that the role of Universities in the training of scientific personnel in Russia is growing. If this trend continues, we can say that the domestic trend of diversification of the education system, have full or almost full compliance with global trends, where the training of scientific personnel is conducted mainly in higher education. Based on the analysis of statistical material, it is noted that the number of publications in journals of Russia and other post-Soviet States indexed in the international citation databases Scopus and Web of Science Core Collection is small compared to other countries.

Theaimofthepaperistoanalyzeinternational crises and mechanisms for their exit. Particular attention is paid to the availability of institutional, financial, organizational and social innovations in the process of overcoming the crisis. There is a similarity in the causes of the emergence of crises and the typology of measures to overcome them. The presence of the interrelation between innovation and the mechanisms of getting out of crises is determined.