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News
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
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.

 

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ДИСКРЕТНО-ДИНАМИЧЕСКОЕ МОДЕЛИРОВАНИЕ ГОСУДАРСТВЕННОГО РЕГУЛИРОВАНИЯ ЧЕЛОВЕЧЕСКОГО КАПИТАЛА

Математическое моделирование. 2020. Т. 32. № 6. С. 81–96.
Каменев Г. К., Kamenev I.

The article considers the problem of multi-criteria optimization of the state regulation of the quality of human capital in the information society. It describes human capital's dynamic by discrete model, taking into account the age dynamics of awareness and cognitive abilities of the individual as a carrier of information. Lifelong indices of human capital are constructed on the trajectories of human’s productivity and creativity, taking into account the increase in the quality of human capital in youth, and further, its decline in older age. The problem of state regulation is described as a bicriteria maximization of two population’s mathematical expectations of indices for the generation, taking into account not only the natural distribution of indices by starting values, but also the possibilities of socialization in the state-controlled education system. The identification of the model is based on the known population constraints on the phase tube of trajectories. The model is identified and researched by methods using approximation by Shannon’s metric nets. It is shown that the optimal choice of educational priorities by the state depends on the parameters of society: age mortality rates and the budget of time available for socialization of non-adults. There are combinations of parameters that lead to conflict of control criteria, so the solution is a set of Pareto-optimal strategies. For Russia, there is a dominant solution that prioritizes the development of cognitive abilities rather than awareness.

Research target: Mathematics Economics and Management Education
Priority areas: economics state and public administration IT and mathematics
Language: Russian
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Keywords: информационное обществочеловеческий капиталinformation societyмногокритериальная оптимизацияmulticriteria optimizationдинамическая модельdiscrete modelcognitive abilitiesкогнитивные способностидискретная модельоптимальность по Паретоdynamical modeleducation governanceгосударственное регулирование образованияhuman capitalPareto-optimalitymetric data analysisметрический анализ данных
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