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September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
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Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Динамика расхождений статистики внешней торговли РФ: влияние санкций

Вестник Московского университета. Серия 6: Экономика. 2026. Т. 61. № 2. С. 340–357.
Родичев А. И., Zinyakov Y.

This paper analyzes discrepancies between direct and mirror data in Russia's foreign trade statistics over the period of 2003-2024. Special attention is given to assessing the impact of sanction policies on the level of statistical discrepancies, which reflect trade costs, manipulations in customs and tax reporting, as well as structural changes in logistics and the organization of international trade flows. To achieve the research objectives, the authors employ panel regression methods with fixed effects, logit models for estimating the probability of significant discrepancies, and the Chow test for identifying structural shifts in data. The analysis is based on data from Trade Map, the Federal Customs Service, and the Central Bank of Russia, allowing for the identification of both long-term trends and short-term crises associated with the introduction of sanctions in 2014 and 2022. The findings indicate a persistent increase in statistical discrepancies, confirming that sanction measures and related changes in accounting methodologies significantly affect the accuracy of trade flow reporting. The results have practical implications for improving statistical control systems, developing measures to reduce trade costs, and ensuring a more accurate assessment of foreign trade activity amid the expansion of sanction policies. Additionally, the findings are crucial for enhancing statistical monitoring methodologies, increasing transparency in trade operations, and effectively countering manipulations in foreign trade under economic restrictions. They also emphasize the need to account for the identified trends of increasing discrepancies when using mirror statistics as a substitute source of information on foreign trade flows.

Research target: Economics and Management
Language: Russian
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Keywords: внешняя торговляторговые барьерыторговые санкциизеркальная статистика
Publication based on the results of:
Restructuring of the Russian Companies, Industries and Markets in Response to New Global Challenges (2025)
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