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News
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.
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.

 

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Генезис и семантический кризис новизны

Социологическое обозрение. 2025. Т. 24. № 2. С. 164–189.
Khestanov R., Suvalko A.

The article examines the genesis of the concept of novelty and argues that modern difficulties in defining and identifying the new are a symptom of a semantic crisis, which is based on the loss of strategic normativity of novelty in modern culture. Three historical-semantic models of novelty are identified and analyzed: cyclical (characteristic of prehistoric societies), invented (peculiar to the modern era), and routine (reflecting modern trends). In the cyclical model, novelty and the ways of representing time were subject to strict control, and the future was interpreted through ritualized myth. The invented novelty model, which combined two perspectives on the origin of novelty — reproduction and combination — affirmed the value of rationally constructing the future. The routine model of novelty is characterized, on the one hand, by the algorithmization of the generation of the new, on the other hand, by the normativization of novelty in all spheres of modern man’s activity. The paper demonstrates how, in the context of digital culture, there is a transformation in the ways of identifying the new through discretization, combinatorics, and externalization of psycho-social existence in “aesthetically charged environments.” Particular attention is paid to the analysis of algorithmic forecasting which, unlike statistical prognostics, does not so much predict as shape the future. The research shows that the semantic crisis of novelty reflects fundamental changes in the temporality of contemporary culture and requires rethinking the role of novelty in the digital age.

Research target: Other Humanities Other social sciences
Language: Russian
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Keywords: креативностьновизнакомбинаторикатемпоральностьcreativitytemporalitycombinatoricsалгоритмизацияnoveltyalgorithmizationдискретизацияdiscretizationэстетически заряженная средаstrategic normativityaesthetically potent environmentстратегическая нормативность
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