Vol 44, No 3 (2017)

This article considers the results of a conference held at the Moscow University of Finance and Law in April 2017. The conference had three sections: Information Security Assurance Technologies, Data Protection Hardware and Software, and Upcoming Trends in Information Security Assurance. More than 40 reports were presented. A brief review of the plenary and main sectional reports is provided.

The vectors for the transformation of scientific-technological and industrial policy pursued by industrially developed countries in the post-crisis period between 2011 and 2016 are analyzed. It is shown that the economic reindustrialization strategy has been selected by the United States and the European Union as the main vector for the modernization of scientific and technological policy, limiting the export of the most advanced breakthrough technologies outside the leading countries. It is argued that the scientific and technological internationalization trend has been increasingly replaced by the policy of “technological colonization.” A system of measurable indicators for scientific and technological areas is proposed. It allows one to compare, rank, and justifiably select the most promising scientific and technological areas for the development of new industries in the Russian Federation involving minimum risks and barriers. The results of the testing of the system are presented. Using the system of measurable indicators is expected to provide evidence for decision making for concentrating intellectual, financial, organizational, and infrastructural resources on the development of priority areas that are key to addressing the large challenges facing the Russian Federation.

The paper proposes the principles of publicity of historical process, consequency, and paradigmality. Depending on their significance, historical events are classified into critical, epochal, key, and occasional events. Local and global events are differentiated and possible variants of representation of local events at the global level are determined. The paper describes variants of correlation between the new paradigm and the old one, such as total rejection, partial rejection, mergence, and co-existence. It proves that the last variant is more characteristic of computer science. An attempt is made to distinguish “computer science” from “information science.”