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News
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
HSE University Opens First Representative Office of Satellite Laboratory in Brazil
HSE University-St Petersburg opened a representative office of the Satellite Laboratory on Social Entrepreneurship at the University of Campinas in Brazil. The platform is going to unite research and educational projects in the spheres of sustainable development, communications and social innovations.
May 18, 2026
The 'Second Shift' Is Not Why Women Avoid News
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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A Comparison of Russian Practices in Industrial Statistics with UN Recommendations: Similarities and Differences in Classifications, Data Items and Indicators

NRU Higher School of Economics , 2017. No. 72.
Kitrar Liudmila, Ostapkovich Georgy, Lipkind Tamara, Gumeniuk K., Katorgina L.
This study compares Russian state information systems of industry with UN international recommendations. The harmonization of the Russian information system with successful international practices is necessary for measuring the main industrial indicator levels and dynamics in comparison with the information analogues of both cross-border and strategically important countries. This allows the estimation of the efficiency and competitiveness of Russian industry and the best decisions to be made at all levels of governance in Russia including in the technology and innovation policy sphere. The study shows that a significant number of annual, quarterly, monthly and weekly reporting forms within the Russian statistical system in the absence of a single questionnaire for obtaining comprehensive information from an enterprise and unified methodological recommendations do not solve the information gap problem. The available disaggregated information is not sufficient to analyse the quality and effectiveness of industrial policy, especially in comparison with global levels and tendencies of re-industrialization. The state statistical system needs modernization to reduce the reporting burden on enterprises and improve information transparency and comparability at the detailed level.
Research target: Mathematics
Priority areas: economics
Language: English
Full text
Keywords: статистика промышленностиindustrial statisticsstatistical uniteconomic activities classificationстатистическая единицаклассификация видов экономической деятельности
Publication based on the results of:
Monitoring of business tendencies and economic uncertainty in Russia (2017)
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