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Subject
News
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.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
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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О некоторых современных тенденциях мирового экономического развития

Вестник Института экономики Российской академии наук. 2016. № 4. С. 20–39.
Korotayev A.
The paper shows that Kondratiev wave dynamics in the growth rate of global GDP in recent decades of the Great Convergence is generated by developing countries, while in the preceding period of the Great Divergence Kondratiev wave dynamics was generated above all the most economically developed countries of the “first world.” At the same time, in stark contrast to the developed countries, the developing countries at the height of the fifth Kondratieff wave could not be easy to achieve very high rates of growth of GDP per capita values reached their peak in the previous wave, but even surpass them significantly. It is shown that an important role in the escalation of the Great Divergence in Greater convergence played a speaker share of investment in GDP. Back in the 1960s, between developed and developing countries, there is a very large gap in the share of investment in GDP in favor of the developed countries, which certainly contributed to the continuation of the process of the Great Convergence. By the mid-1970s, the share equaled, in 1990 the share of developing countries has become much more than the share of developed countries, and in the 2000s, the gap between developing and developed countries (in favor of developing countries) has reached enormous proportions.
Research target: Economics and Management Mathematics Sociology (including Demography and Anthropology Political Science, International Relations, and Public Administration History and Archeology
Priority areas: economics sociology humanitarian IT and mathematics mathematics
Language: Russian
Full text
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Keywords: инвестицииконвергенцияволны Кондратьеваконвергенция траекторий экономического ростадлинные циклы КондратьеваВеликая Дивергенция
Publication based on the results of:
The Arab Spring as the Trigger of a Global Phase Transition (2016)
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