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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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Циклическая динамика развития Мир-Системы

Сложные системы. 2013. № 3 (8). С. 4–50.
Куркина Е. С., Knyazeva H., Куретова Е. Д.

The global evolution of the world community as an integrated self-organizing and self-developing system is studied in the article; and some main features and laws of its evolution are exposed. The attention is focused on the consideration of cyclic character of evolution, of periods of the global history of mankind, of the growth of complexity and the birth of technological, social and cultural innovation as a result of passing through crises. This is an interdisciplinary research which relies upon the results of mathematical modeling. The models elaborated by Ivan M. Diakonov, Sergey P. Kapitsa, M. Kremer, Sergey P. Kurdyumov as well as the model of macroevolution of World-System developed by L.E. Grinin, A.V. Korotaev and S.Yu. Malkov are analyzed. The evolution of the world commonwealth is considered as a stage of the universal (global) evolutionary process starting from Big Bang and up to emergence of life, appearance of a human being. The development of World-System in a blow-up regime leads to the strongest stratification of society, to the strengthening of instability and unevenness of development of countries and territories, to disintegration of complex geopolitical structures, and to the threat of collapse of civilization. As a positive alternative, the authors discuss opportunities of management of the future and of the choice of a favorable path of development of mankind. These opportunities are based on the understanding of the principles of co-evolution of nature and mankind as well as of complex social and geopolitical structures.

Research target: Philosophy, Ethics, and Religious Studies Computer Science
Priority areas: humanitarian IT and mathematics
Language: Russian
Full text
Keywords: глобализациясамоорганизацияglobalizationсинергетикасложная системаself-organizationsynergeticscomplexityсложностьМир-Системаcoevolutionкоэволюцияcomplex systemsuniversal evolutionismуниверсальный эволюционизмblow-up regimeрежим с обострениемWorld-Systemmodel of evolution of S.P. Kudyumovcycles of historyмодель эволюции С.П. Курдюмовациклы истории
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