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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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Благоустройство городской среды и методы его оценки

Вопросы государственного и муниципального управления. 2025. № 3. С. 95–120.
Галкина А. Д., Plusnin J.

The article explores three approaches to assessing the level of urban environment improvement. In line with strategic planning tasks introduced by the Russian Government a decade ago, efforts to enhance the quality of life and the urban

environment quality have been guided by the theory of data-centric public administration. These efforts have been operationalized through composite indices developed by the Ministry of Construction of the Russian Federation and Vnesheconombank (the Ministry of Construction and VEB indices). The article provides a critical review of these tools employed since 2018. Two indices lack mutual comparability and complementarity: the Ministry of Construction index adopts a city-centric and spatially oriented perspective, focusing on the quality of the urban environment, while the VEB index is human-centric and primarily targets quality of life assessment. The authors propose an alternative methodology for evaluating urban environment improvement, grounded in an original conceptualization of well-being. At the core of this approach lies the idea of «good» as a dual-state concept, representing both the expected condition (well-being) and the achieved condition (urban improvement). Based on this framework, a new composite index has been developed to measure improvements in the urban environment. A key advantage of the proposed methodology lies in its practical simplicity and the intuitive clarity of its indicators for local residents. It is particularly well-suited for adoption by local governments in small towns and settlements as a tool for independent assessment

Research target: Political Science, International Relations, and Public Administration Economics and Management Sociology (including Demography and Anthropology
Language: Russian
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Keywords: благополучиекачество городской средыгородское благоустройствосоучаствующее проектированиеParticipatory designurban environment quality well-beingMinistry of Construction indexurban environment improvementurban environment improvement conceptVnesheconombank-indexиндекс МинстрояВЭБ-индексконцепция благоустройства среды обитания
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