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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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Шоковая инновация: концептуализация процесса цифровой трансформации образования в период пандемии

Образование и саморазвитие. 2023. Т. 18. № 2. С. 100–117.
Диана О. Королева, Анастасия А. Андреева, Татьяна Е. Хавенсон

The article considers the transition to distance learning in the context of COVID-19 pandemic as innovation. In particular, it shows that the spread of innovation in an extremely fast and compressed way does not fit the classical model of innovation diffusion by E. Rogers. Based on the results of the analysis, the authors supply the innovation theory with a model of shock innovation which aims to describe the phenomenon of momentary transformations. For that reason a comprehensive and extensive description of innovation diffusion was narrowed down to three key characteristics and linked to three levels (micro-, meso- and macro-). Narratives of principals which have been extracted from the interviews (N=10) were compared with the characteristics of this three-levels model. The analysis revealed that shock innovation a shock innovation is characterized by the fact that (1) the initial impulse has a source, external to the system, (2) requiring an obligatory response (forced change); (3) manifested by an innovative “breakthrough” due to the extreme mobilization of the resources; and (4) “densification” of traditional innovative processes for the diffusion of innovation at three levels - individual (micro), group (meso-) and systemic (macro-). The discussion highlights the aspects of the identified characteristics that should be taken into account in designing the strategies of schools’ development as well as filling the deficiencies of the educational system generated by the pandemic.

Research target: Education Sociology (including Demography and Anthropology
Language: Russian
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Keywords: innovationдистанционное обучениеинновацияdistance learningdiffusion of innovationsцифровизация образованияdigitalization in educationconceptual framework of COVID-19 in educationтеория диффузии инновацийконцептуализация процессов пандемии
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