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News
May 15, 2026
Preserving Rationality in a Period of Turbulence
The HSE International Laboratory for Logic, Linguistics and Formal Philosophy studies logic and rationality in a transformed world characterised by a diversity of logical systems and rational agents. The laboratory supports and develops academic ties with Russian and international partners. The HSE News Service spoke with the head of the laboratory, Prof. Elena Dragalina-Chernaya, about its work.
May 15, 2026
‘All My Time Is Devoted to My Dissertation
Ilya Venediktov graduated from the Master’s programme at the HSE Tikhonov Moscow Institute of Electronics and Mathematics through the combined Master’s–PhD track and is currently studying at the HSE Doctoral School of Engineering Sciences. At present, he is undertaking a long-term research internship at the University of Science and Technology of China in Hefei, where he is preparing his dissertation. In this interview, he explains how an internship differs from an academic mobility programme, discusses his research topic, and describes the daily life of a Russian doctoral student in China.
May 15, 2026
‘What Matters Is Not What You Study, but Who You Study with
Katerina Koloskova began studying Arabic expecting to give it up after a year—now she cannot imagine her life without it. In an interview for the Young Scientists of HSE University project, she spoke about two translated books, an expedition to Socotra, and her love for Bethlehem.

 

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Сравнительная оценка эффективности развития спорта на региональном уровне на основе метода DEA

Экономика региона. 2017. Т. 13. № 4. С. 1184–1198.
Zelenkov Y., Цветков В. А., Солнцев И. В.

The article investigates the financial resource management for the development of mass and elite sports at the regional level. The authors used statistical data of the Ministry of Sports that include 28 socio-economic indicators and 39 indicators of sports development in 82 regions for 2012 — 2015. A model of sports development was built using PLS-SEM method. We identified the following latent variables: economic development of the region; funds allocated to sports development; availability of resources; development of mass sports; development level of professional sports; results in elite sports, results in adaptive sports. The level of regional economic development affects the amount of funding allocated to the sports, which in turn determines the availability of resources. Availability of resources affects the success in the development of mass and professional sports. Success in professional sports determines results in great sporting achievements and adaptive sports. Structural modelling allowed us to identify measurable indicators of resources (model inputs) and results of sports development (model outputs). The authors assessed the effectiveness of transformation of inputs into outputs using DEA method. We investigated two models. The first one uses the indicators of mass sports development as outputs, the second one uses the indictors of professional sports development as outputs. The inputs of both models are the indicators of financial resources for sports. The simultaneous review of the effectiveness of two directions allows to emphasize the features of each region and evaluate balance in the development of mass and professional sports. The modelling results allow to identify several groups of regions with similar parameters, which may be due to their similar locations.

Research target: Economics and Management
Priority areas: state and public administration IT and mathematics business informatics
Language: Russian
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Text on another site
Keywords: quantitative analysisгосударственное управление спортомDEAметод DEAsport managementколичественные методы анализа данных
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Эффективность рынка искусственного интеллекта: ожидания и реальность
Kuzminov Y., Kruchinskaia E., Форсайт 2025 Т. 19 № 4 С. 6–16
The development of Artificial Intelligence (AI) is significantly impacting the global economy, transforming corporate strategies and enhancing operational efficiency. This study aims to analyze the relative efficiency of the Generative AI (GenAI) market, considering the market size of chips, servers, and data center infrastructure required for its operation, and comparing these market sizes with the ...
Added: December 17, 2025
Hessian-based lightweight neural network for brain vessel segmentation on a minimal training dataset
Меньшиков И. А., Бернадотт А. К., Elvimov N. S., / Series arXie "Statistical mechanics". 2025.
Accurate segmentation of blood vessels in brain magnetic resonance angiography (MRA) is essential for successful surgical procedures, such as aneurysm repair or bypass surgery. Currently, annotation is primarily performed through manual segmentation or classical methods, such as the Frangi filter, which often lack sufficient accuracy. Neural networks have emerged as powerful tools for medical image ...
Added: December 1, 2025
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