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May 22, 2026
HSE Graduates AI Project Wins at TECH & AI Awards
Daria Davydova, graduate of the HSE Graduate School of Business and Head of the AI Implementation Unit at the Artificial Intelligence Department of Alfa-Bank, received a prize at the TECH & AI Awards. She was awarded for the best AI solution for optimising business processes. The winners were determined as part of the VII Russian Summit and Awards on Digital Transformation (CDO/CDTO Summit & Awards).
May 20, 2026
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May 18, 2026
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Women are more likely than men to avoid political and economic news, but the reasons for this behaviour are linked less to structural inequality or family-related stress than to personal attitudes and the emotional perception of news content. This conclusion was reached by HSE researchers after analysing data from a large-scale survey of more than 10,000 residents across 61 regions of Russia. The study findings have been published in Woman in Russian Society.

 

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Инфраструктурный потенциал территории как фактор устойчивого регионального развития

Вопросы государственного и муниципального управления. 2020. № 3. С. 165–186.
Plisetskiy E., Плисецкий Е. Л.

The purpose of the study is to develop a methodological approach to assess the infrastructure potential of the territory as a tool for monitoring the effectiveness of the implementation of the state regional policy in the field of infrastructure development.

The algorithm for comparative assessment of the infrastructure potential of regions is substantiated in the article. The authors believe that a regular assessment the level of infrastructure development (infrastructure capacity) macro-regions and regions – subjects of the Russian Federation, along with the monitoring of the achievement of the targets established, should be provided within the framework of implementation approved at the Federal and regional levels, of programmes and plans for infrastructure development. The proposed method of cost estimation of the region's infrastructure potential is based on the use of an integral indicator of the territory's fund saturation, taking into account the qualitative characteristics of the state of fixed assets.

The study revealed a significant spatial differentiation of Russian regions in terms of infrastructure potential that helped to group them by the level of its development. The difference between the maximum and minimum values of the infrastructure potential assessment (even without taking into account the federal cities) exceeds 730 times! The cities of federal significance – Moscow, St. Petersburg, Sevastopol, as well as the republics of Crimea and Tatarstan, Krasnodar, Moscow and Kaliningrad regions have the maximum infrastructure potential. The infrastructure potential is evenly decreasing to the East and North of the country. The republics of Tyva, Sakha (Yakutia), Magadan region, and Chukotka Autonomous Okrug have the lowest indicators of territory's fund saturation and correspondingly low level of infrastructure potential development. More than a quarter of all Russian regions have a lower level of infrastructure development than the national average. Based on the correlation analysis, it was found that the size of the territory's infrastructure potential has a direct positive impact on the inflow of investments to the regions and the growth of GRP, and therefore is one of the important factors of economic growth and increasing the competitiveness of the regional economy.

The results obtained within the study can be applied in the practice of managing the development of territories when forecasting and developing strategies of the socio-economic development of new macro-regions of Russia, and also used for monitoring the state policy of infrastructure development.

Research target: Social and Economic Geography (including Urban and Transportation Studies) Economics and Management
Priority areas: economics state and public administration
Language: Russian
Full text
DOI
Keywords: инфраструктураосновные фондыfixed assetsinfrastructure potential of the territoryfund saturation of the territoryинфраструктурный потенциал территориифондонасыщенность территориигруппировка регионовclustering of regions
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