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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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Сквозь призму BERT: тематическое моделирование трансформации коллективных идентичностей участников движения Black Lives Matter под влиянием контрпротеста

Политическая наука. 2025. № 1. С. 219–239.
Koncha V.

Counter-protests have become a common response to protest movements around the world. Understanding this process is often based on collective identities that are formed in opposition to an out-group. In the context of the Black Lives Matter (BLM) movement, the initial image of the “other” was mainly attributed to the authorities. However, the emergence of the All Lives Matter (ALM) counter-protest movement has changed the way how collective identities are constructed - now the image of the “other” is also attributed to participants in the counter-protest movement, introducing a new layer of complexity into the dynamics of identities and raising questions about how these identities are transformed when faced with counter-protest. Applying a new approach in BERT topic modeling, the author analyzes thematic shifts in the posts of BLM protesters between 2013 and 2014 on the social network Twitter (X). The application of the BERT topic modeling model allowed conducting a detailed analysis of online messages, capturing contextual dependencies and revealing the complexities of the transformation of collective identity in response to the emergence of the ALM counter-protest movement. The study contributes to the existing literature by filling two gaps: demonstrating the methodological advantage of using BERT on empirics and exploring how the collective identities of protest movement participants are transformed in the context of protest and counter-protest dynamics. BERT topic modeling is a powerful tool for studying the transformation of collective identities, offering a promising methodological basis for further research at the intersection of protest, counter-protest, and collective identities in the digital age.

Research target: Political Science, International Relations, and Public Administration
Language: Russian
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Text on another site
Keywords: коллективная идентичностьtwitterпротестBlackLivesMatterAllLivesMatterконтрпротест
Publication based on the results of:
Institutions, human capital and regional Development: historical analysis and contemporary challenges (2025)
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