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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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Методы реконструкции данных муниципальной статистики на примере внутригородского муниципального образования Санкт-Петербурга

Известия РАН. Серия географическая. 2022. Т. 86. № 4. С. 503–518.
Strakhov K.

The article presents methods of municipal statistics missing data reconstruction based on indirect data in federal city’s intracity municipal district. The author used presented methods in course of Vladimirsky Okrug in St. Petersburg sociogeographical study in 2020. Using the Vladimirsky Okrug example, the author evaluates the completeness and quality of municipal statistics in St. Petersburg and concludes that local self-government bodies did not have reliable statistical data necessary for the local issues implementation. Only 8 out of 1400 indicators are continuously presented in the Indicators of Municipalities Database of Rosstat for the last decade, many are fragmentary for 1–3 years, which hinders retrospective analysis. Reconstruction is a forced step due to the lack, closeness, or incorrectness of statistical and departmental accounting data. Comparing the state and departmental statistics the author shows differences in the population accounting district up to 9% in the moment and showed multidirectional dynamics in retrospect. Statistics reconstruction allowed to clarified the population number (based on water supply accounting data), the small businesses amount and their (sectoral structure, and the motorization indicators of the population (based on tax statistics), the parking infrastructure shortage (based on field observation), and the population coverage with municipal services (through an assessment of the social infrastructure load). The author concludes that the most reliable results of the statistics reconstruction are based on a field survey and primary accounting data analysis, since they are provided by direct visual or documentary control. The article shows that the lack of municipal statistics leads to inefficiency in the local self-government bodies activities.

Research target: Social and Economic Geography (including Urban and Transportation Studies) Political Science, International Relations, and Public Administration
Language: Russian
DOI
Text on another site
Keywords: местное самоуправлениеоценка эффективностиlocal self-governmentмуниципальная статистикаdata reconstructionреконструкция данныхгородской районвнутригородское муниципальное образование municipal statistics performance assessmentintracity district intracity municipality
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