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June 4, 2026
Machine Learning Models Can Help Reduce Volatility and Boost Stock Market Returns
The use of machine learning models makes it possible to achieve greater accuracy in predicting risks in the Russian stock market compared to classical econometric approaches. The predictive power of these models increases by 23%, while the average investor’s return can reach up to 13% per annum. These conclusions were drawn by Nikita Lysenok from the Department of Financial Market Infrastructure at the HSE Faculty of Economic Sciences. The paper has been published in Fundamental and Applied Mathematics.
June 3, 2026
Pocket Money, Personal Interest, and Family Practices: What Shapes Students Economic Literacy?
University students' economic literacy depends not only on their field of study but also on their interest in economics, the learning environment, and family financial practices. For example, students who received pocket money irregularly tend to perform better on economic literacy tests than their peers who received financial support on a regular basis. These findings come from a study conducted by HSE University involving more than 1,100 students from five Russian universities. The findings have been published in Cakrawala Pendidikan.
June 3, 2026
Creative Work as a Remedy for Burnout
The creative, supportive atmosphere and innovative methods at the Centre for Sociocultural Research make it appealing to early-career scholars. Over years of working at HSE University, they grow into researchers and lecturers recognised both in Russia and abroad. Chief Research Fellow Zarina Lepshokova and Leading Research Fellow Ekaterina Bushina spoke about their journey at the centre and at HSE, their research, and the role of mentors in their academic success.

 

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Спрол в России: рост и структурная трансформация пригородов Белгорода

Известия РАН. Серия географическая. 2020. Т. 84. № 2. С. 191–206.
Dokhov R., Синицын Н. А.

Belgorod is one of the earliest and most prominent examples of the development of Western-style suburbanization in post-Soviet Russia. Based on the analysis of satellite images’ time-series, we traced dynamics of Belgorod suburbia development, and determined factors of its localization. We propose a method to interpret types of suburban settlement patterns (e.g. a system of the elements’ interpretation) and identified main shortcomings. A key feature of the rapid suburbanization of Belgorod during the post-Soviet period was the formation of extensive suburban sprawl areas, which are completely morphologically different from traditional seasonal (dachas) and rural single-story suburbs. Sprawl expansion on this territory occurred in two distinct waves, the first of which was induced by an influx of ethnic-Russian migrants from the near abroad, and the second coincided with the period of relatively high rates of economic development of Russia and Belgorod oblast in the 2000s and began to decline in early 2010. Growing systems of genetically related sprawling areas form tree-like graphs (due to the requirement for access to utilities and to the major transportation routes), the roots of which are the areas of high-rise buildings, and the leaves—younger “generations” of sprawling areas.

Research target: Social and Economic Geography (including Urban and Transportation Studies)
Priority areas: economics sociology
Language: Russian
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Keywords: расселениесубурбанизацияpost-socialismRemote Sensingpost-Soviet transformationssettlementurban morphologySuburbanization дистанционное зондирование Землидешифрированиеsprawlспролпостсоветская трансформация городаморфология города
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Added: March 18, 2026
Типология трансформаций сельских населенных пунктов Нижнего Приобья в постсоветский период
Nazarenko G., Локтионов К. С., Алексеев А. И., Крестьяноведение 2024 Т. 9 № 4 С. 178–217
The article considers the main post-Soviet transformation of functional types of rural settlements in the Khanty-Mansi and the Yamalo-Nenets Autonomous Regions within the Lower Ob Region. The article is based on the field data collected in July 2023 and on the statistical data from the Federal State Statistics Service, district and regional administrative departments, and ...
Added: March 18, 2026
Бразилия: повторение пройденного или рецепт обновления
Симонова Л. Н., Окунева Л. С., Пятаков А. Н. et al., ИЛА РАН, 2025.
Серия «Саммит» — особый жанр. Его задача — в сжатом виде охарактеризовать современный облик рассматриваемой страны, показать ее значение в контексте международных отношений РФ, очертить возможности эффективного взаимодействия России с этим государством. Издание рассчитано на практиков, причастных к принятию решений высокого уровня. ...
Added: March 17, 2026
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