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News
June 22, 2026
‘In Science, You Are Your Own Boss
Polina Nasledskova is interested in identifying gaps in linguistics and topics that have been overlooked by other researchers. In an interview for the  Young Scientists of HSE University project, she spoke about rare ordinal numerals in Nakh-Daghestanian languages, the benefits of knitting for concentration, and the beauty of the Patriarshy Bridge.
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HSE Researchers Determine Which Internet Users Are More Likely to Fact-Check
Researchers at HSE University examined the strategies employed by Russian internet users to verify unreliable information and the factors that motivate them to do so. The study found that more than half of users who encounter potentially false information online attempt to verify it by locating the original source. The likelihood of fact-checking is influenced by several factors, including age, place of residence, social status, information literacy skills, and the use of AI. The findings have been published in Monitoring of Public Opinion: Economic and Social Changes.
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'Im Used to Producing Distilled Knowledge'
Ivan Rubachev works in a HSE University laboratory established jointly with Yandex Research, where he focuses on machine learning with tabular data. In this interview with the HSE Young Scientists project, he discusses why following a vibe can be better than goal-setting, explains the concept of the Neural Turing Machine, and argues why withholding scientific knowledge is counterproductive.

 

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Импортозависимость и импортозамещение в России: оценка на основе таблиц ресурсов и использования

Проблемы прогнозирования. 2024. № 2(203). С. 21–33.
Kalinin A. M.

The article discusses issues related to the assessment of import dependence and the results of the import substitution policy in the period 2016–2020. An overview of options for assessing import dependence indicators is provided, and the possibility of using resource and use tables published by Rosstat is substantiated. The main analysis tool is calculated tables of import dependence indicators. In addition, econometric modeling is used to test the significance of individual factors. It has been established that for the vast majority of industries and products in the period 2016–2020, there was no monotonic reduction in import dependence. For approximately half of the types of products, markets and industries under consideration, fluctuations in the share of imports in 2016–2020 were insignificant or not sufficiently stable. At the same time, there is evidence of significant and significant import substitution in certain segments, including those reflecting the efforts of the state. Taking into account the current state of the Russian economy and external conditions of socio-economic development, the currently declared emphasis on ensuring technological sovereignty can be considered justified, but the practical implementation of the import substitution policy in comparison with the period 2016–2020 should be more effective, both in terms of volume and effectiveness of the tools used.

Research target: Economics and Management
Language: Russian
DOI
Keywords: промышленная политикаимпортозамещениеобрабатывающая промышленностьindustrial policymanufacturing industryimport substitutionimport dependenceимпортозависимость
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