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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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Модуляризация и контроль в платформенных механизмах управления трансакциями

Вопросы экономики. 2025. № 4. С. 55–93.
Geliskhanov I.

The variety of hybrid governance structures has attracted the attention of researchers for many years. “Creative destruction” of markets under the influence of digital platforms increases the relevance of analyzing the process of transformation. Based on the results of the empirical study in 2022—2024, the transformation of the value creation organization in the market of taxi services in Russia has been described. The article also analyzes changes in the structure of the main participants in this industry and their functions. It is shown that the most important factor in the transformation of the Russian taxi services market was the change of governance structures based on the modularization of value chain components, which excludes their functioning outside the control of the digital platform. The importance of digital technologies in the process of creative destruction should not be overestimated: new platform models of governance and control are the main tool of market transformation.

Research target: Economics and Management
Language: Russian
DOI
Text on another site
Keywords: механизмы управления трансакциямиgovernance structuresмодуляризацияцифровые технологиицифровая экономикацифровые платформыdigital platformsdigital technologiesмногосторонние рынкиmulti-sided markets digital economyагрегаторы таксиmodularizationplatform modularization strategyride-hailing platformsплатформенная стратегия модуляризации
Publication based on the results of:
Restructuring of the Russian Companies, Industries and Markets in Response to New Global Challenges (2025)
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