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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.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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Спрос на навыки: анализ на основе онлайн данных о вакансиях

Экономический журнал Высшей школы экономики. 2022. Т. 26. № 3. С. 343–374.
Volgin A., Gimpelson V. E.

Ultimate essence of the human capital is in what workers know and what they are able
to do, or in their productive skills. This study explores demand for various occupational and
social skills in the Russian economy. Job structure and demand for skills posted by employers
reflect technological level of the economy and its structure. However, the structure of demand
for skills is observed poorly, if we rely on traditional data sources. In this study, we derive the
information from vacancy ads posted on the website of one of the leading Russian internet job
search boards during 2019–2020. Our sample consists of roughly 3.5 million ads, containing
explicit sets of skills expected from successful job candidates. We select skills from job ads relying
on key words and then aggregate them in groups. As the next step, we rank all aggregate skills
groups and discuss their frequencies, taking into account their complementarity. Further on, we
regress wages offered in ads on skills and controls, thus getting a skill premium for each skill
group and their bundles. Many skills are complementary to each other and their combination increases
the premium. Our results suggest that social and client oriented skills as well as medium
level occupational skills are in the highest demand on the Russian labor market.

Research target: Economics and Management Sociology (including Demography and Anthropology
Language: Russian
Full text
DOI
Text on another site
Keywords: профессиинавыкиskillsспрос на трудвакансииlabor demandvacanciesoccupations
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