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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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Friends network expansion and reduction: investigating the role of structural and psychological factors

P. 196–208.
Sinyavskaya Y., Porshnev A.

Rich data from social network sites (SNS) attracts the attention of psychologists and sociologists interested in interpersonal dynamics, friendship networks, and social capital. The presented study explores the effect of network structural features and psychological characteristics of SNS users on changes in their friendship networks. The data from the representative and diverse sample of 375 Russian Vkontakte SNS users from Vologda city was used. Two waves of network data collection allow us to estimate changes in the size of the friendship networks. Regression analysis reveals similarities in the factors responsible for the changes in networks for users who attract or reject friends. We discuss possible explanations of this phenomenon, as well as limitations of the study and further research directions.

Language: English
DOI
Keywords: online social networksfriendshipnetwork dynamics
Publication based on the results of:
Online communication: cognitive limits and methods of automatic analysis (2020)

In book

Networks in the Global World V: Proceedings of NetGloW 2020. Lecture Notes in Networks and Systems
Vol. 181. , Springer, 2021.
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