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News
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.
July 16, 2026
Team Success: Aligning Means with Objectives
In corporations, sports, and academia, people often face challenges they cannot handle alone. In such cases, selecting the right team is crucial. Tatiana Mayskaya, Associate Professor at the HSE Faculty of Economic Sciences and the International College of Economics and Finance, together with colleagues from foreign universities, examined team characteristics and found that less diverse teams are better suited to objectives where a high average performance is important, whereas more diverse teams are preferable when avoiding failure is critical. The paper has been published in Economic Theory.

 

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Способы получения статистических данных об инновациях и их распространении

Экономика: вчера, сегодня, завтра. 2016. № 10. С. 272–288.
Arkhipova M., Kuchmaeva O.

The article is devoted to analysis and generalization of statistical practices of collecting information on innovation. The paper discusses existing approaches to formation of information base for the study of innovation activity and the extent of innovation in different segments of the society. The authors generalize the experience of applying the analysis of the investigated subject areas indexes of innovation activity developed by the international organizations, to explore innovative processes at the macro level and to make international comparisons. Considerable attention is paid to the statistical information provided by Rosstat, which correspond to the methodological recommendations of the Organization for economic cooperation and development (OECD) and provide the opportunity to study innovative activity in Russia on a wide range of indicators. Statistics of innovations in Russia is conducted by Rosstat since 1994 and greatly appreciate the processes of innovation at the macro - and meso-levels. The data of official statistical reporting to the Federal state statistics service, give the opportunity to explore innovative development in the regions of Russia, economic activities, forms of ownership, size groups of enterprises, ministries and departments. The rapid development of scientific-technical progress (STP), the development of information and communication technologies has a significant impact on the main characteristics of the quality of life of people. However, despite the efforts for modernization of Rosstat activities and collect information about the innovation, to the present time it is difficult to assess the prevalence of innovations, their use in various population groups, as well as the needs of the population in the innovative products and services. Developments in society changes require careful study and interpretation that it is difficult using the official statistical data of Rosstat. Realizing new challenges and with the aim of providing researchers and individuals to make managerial decisions, necessary information, Rosstat conducted a sample survey, the scope of which is steadily expanding, which allows to obtain information about the diffusion of innovation in society and their impact on people's daily lives. The paper presents a review of the programmes of sample surveys and provides results to obtain some estimates of the impact of innovations on the level of people's lives. In this case the conclusion should expand the range of programs and sample surveys in order to be able to assess the needs of different socio-demographic groups in innovations, innovative products and services in different spheres of life. Also proves the thesis that only the use of sources of information allows to obtain complete and accurate idea about the diffusion of innovation in society, the need for access to innovation use. Data monitoring public opinion in this case have a certain predictive ability in the context of prospects of development of innovative activity and market innovation.

Research target: Mathematics
Priority areas: economics
Language: Russian
Full text
Keywords: уровень жизни населенияинновационная деятельностьиндексыпоказатели инновацийресурсы и результаты инновационной деятельностивыборочные обследования
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