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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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Проектирование образовательных практик на основе многоагентного подхода

Искусственные общества. 2025. Т. 20. № 1.
Patarakin Y., Шишков М. С.

Modern educational systems are complex adaptive economic systems, and working with models of such systems allows students to better understand economic relationships and dependencies. In recent years, the framework of complex adaptive systems  has been actively used to analyze pedagogical situations. Through the prism of complex adaptive systems framework one can analyzeurban education systems, including a multitude of educational institutions interacting with each other and with the local community, where complex interactions between political decisions, funding, and educational outcomes are observed. This paper examines the transfer of skills in designing multi-agent models to the design of pedagogical practices. The study was carried out on the basis of Semantic MediaWiki, which made it possible to combine various programming environments (Snap!, NetLogo, StarLogo Nova, GAMA), models, datasets, and student works. A model of students choosing schools that differ in geographical location, tuition costs, student achievement levels, maximum capacity, and availability of public information is considered. 

Research target: Education Mathematics
Language: Russian
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Keywords: многоагентное моделированиеcomplex adaptive systemsсложные адаптивные системыNetLogoNetlogomultiagent systemSemantic MediaWikiSemantic MediaWikiStarLogo Nova
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