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  • Пространственная асимметрия ИТ-рынка труда России: декомпозиция регионального зарплатного разрыва и география компетенций искусственного интеллекта
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News
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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Пространственная асимметрия ИТ-рынка труда России: декомпозиция регионального зарплатного разрыва и география компетенций искусственного интеллекта

ЭКО. 2026.
Окусков И. С.
In press

The rapid development of Russia’s information technology (IT) sector and the spread of artificial intelligence (AI) technologies raise the question of how the industry’s labour market is organised beyond the binary opposition between capitals and regions. The aim is to describe the spatial structure of Russia’s IT labour market, decompose the wage gap with the Central Federal District into explained and unexplained components, and map the geography of demand for AI competences. The empirical base is 184,996 hh.ru vacancies for 2025; 78,643 report wages in roubles. The analysis uses a semi-log wage regression and a two-sided decomposition of the wage gap into structural and regional components. As a novel contribution, a multidimensional labour-market profile of the IT sector across the eight federal districts is constructed, and the share of the gap not attributable to vacancy structure is quantified. The results reveal functional specialisation of districts, the predominance of the unexplained regional premium, and bipolar concentration of AI competences in capital cities and research-and-education cores (Tomsk, Kazan, Novosibirsk). Since the data reflect employer locations rather than worker residences, the spatial-integration function of remote work cannot be tested.

Language: Russian
Full text
Keywords: remote workфедеральные округаfederal districtsspatial asymmetryрегиональная асимметриядистанционная занятостьIT labour marketOaxaca — Blinder decompositionAI competencesresearch-and-education coressovereign human capitalИТ-рынок трудадекомпозиция Оаксаки — БлиндераИИ-компетенциинаучно-образовательные ядрасуверенный человеческий капитал
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