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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.
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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Применение стратегии mixed methods для исследования идеологий современных русских националистических организаций

Мониторинг общественного мнения: Экономические и социальные перемены. 2015. № 5. С. 3–20.
Rotmistrov A., Tolstova Y., Popova P.

The article addresses to the mixed methods strategy applying to the modern Russian nationalist organizations studying. This strategy matches to solve simultaneously the several scientific problems: i) the low degree of the mentioned organizations exploration, ii) the difficulty in studying these organizations by means of qualitative methods (i.e. which results may be verified by means of mathematics) because they are informationally and culturally closed, iii) the mismatching between the defining latent causality purpose and qualitative methods (i.e. which results may NOT be verified by means of mathematics) applying opportunity. The research, which results comprised the basement for this article, fulfilled the “qual->QUANT->qual” variant of the mixed methods strategy. The report depicts a design and a result of the research’s each step. Thus, it depicts the identified components of the exploring organizations ideologies: standpoints regarding the USSR, organizations’ perception regarding those who threats Russia, type of nationalism (including racism), organizations’ preferences regarding the Russia’s territory, organizations’ preferences regarding religion, organizations’ preferring economic models. Then, it depicts these components hierarchy and mathematic arguing that the basic component is the standpoints regarding the USSR.

Research target: Political Science, International Relations, and Public Administration Mathematics Sociology (including Demography and Anthropology
Priority areas: sociology mathematics
Language: Russian
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Keywords: СССРидеологияUSSRideologyобоснованная теорияRussian nationalismрусский национализмmixed methodsloglinear analysisлоглинейный анализсмешанные методыgrounded theory
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