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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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Моделирование ценовой эластичности спроса на авиационные перевозки в условиях ограниченности статистических данных

Информатика и ее применения. 2024. Т. 18. № 4. С. 34–43.
Урюпин И. В., Sukharev A.

The paper aims to suggest a model that describes the influence of airfares on air transport demand in the Russian aviation system. The authors propose an approach and mathematical model for estimating price elasticity of demand for air travel in the Russian federation, both at the national level and on a single route. In the absence of sufficient statistical information, they solved the problem of insufficient data on fares by using an additional regression model to determine the relationship between fares and distance. The results contribute to airline professionals and stakeholders by offering a tool for estimating the impact of changes in air fares on demand for air transport in Russia, which can be used to solve various problems related to aircraft design and operations. The article shows how the model can be applied to assess potential changes in demand when replacing existing aircraft with more advanced models on specific routes and throughout the entire Russian aviation system.

Research target: Computer Science Mathematics Economics and Management
Language: Russian
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Keywords: пассажирские перевозкиавиаперевозкиматематическое моделированиеРоссияэластичность спросаeconomic-mathematical modelingценовая эластичность спросаспрос на пассажирские перевозкиprice elasticityавиапассажирские перевозкиAir Transportation MarketPassenger air transportationair transportation accessibilityair transportation systemairlinesавиатранспортная системаавиалинии
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