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October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

 

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Внедрение новых международных стандартов статистики неформальной экономики в практику Росстата: проблемы и перспективы

Экономический журнал Высшей школы экономики. 2026. Т. 30. № 2. С. 313–343.
Lukyanova A., Demyanova A., Talakauskas D.

The paper examines methodological challenges of measuring informality following major revisions of international statistical standards. It analyses the Resolution concerning statistics on the informal economy adopted by the 21st International Conference of Labor Statisticians (2023) and offers practical recommendations for implementing this framework in the official statistics of the Russian Federation (Rosstat). Methodologically, the study includes a review of how international guidelines have developed, a comparison of current Rosstat’s practices with the new requirements, and empirical estimations based on microdata from the 2025 Labor Force Survey.

The analysis highlights four key changes in the measurement standards: (1) a clear procedure for classification of economic units into the formal sector, the informal sector, and the household own-use and community sector; (2) the integration of employment status categories from the International Classification of Status in Employment (ICSE-18) into the measurement of informality; (3) revised operational criteria for sector identification, notably removing enterprise size as a main criterion for defining the formal status of an economic unit and classifying an economic unit as formal if it employs at least one worker in a formal job; (4) the use of employer social insurance contributions as the main criterion for identifying formal employment, with access to paid annual and sick leave serving as supplementary criteria.

The authors demonstrate that Rosstat's current definition of the informal sector is too broad relative to modern international standards, leading to an overestimation of employment in this sector. The main issue is automatic classification of all engaged in entrepreneurial activities into the informal sector. In our opinion, registered individual entrepreneurs and their employees should be assigned to the formal sector. Preliminary estimates suggest that adopting the new standards could reduce the measured share of employment in the informal sector by approximately one-third. The paper also emphasizes the importance of shifting focus from enterprise-based measures (employment in the informal sector) to worker-centered measures (informal employment), which better reflect job quality and economic risks held by workers.

Research target: Economics and Management Other social sciences
Language: Russian
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DOI
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Keywords: Росстатнеформальная занятостьнеформальный секторМОТRosstatinformal sectorILOinternational statistical standardsмеждународные статистические стандарты informal employmentобследование рабочей силыLabor Force Survey
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