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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
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Structures of Authors’ Collaboration at Young Universities

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Matveeva N., Batagelj V.

There are many studies devoted to university collaboration, but little is known about the existing structure of researchers’ collaboration: which structures foster academic development and which do not. In our study, we analyze the co-authorship networks of eight leading young universities to investigate the collaboration structures of their researchers. We construct the corresponding co-authorship network for each university based on publication data from Scopus for the years 2017–2019. Our analysis includes two-mode university authorship networks, one-mode co-authorship networks, and subnetworks of authors who demonstrate the most productive collaboration. We found that the basic collaboration characteristics of leading young universities are quite similar. These universities exhibit a high level of collaboration, though the patterns of collaboration vary. The subnetwork of authors demonstrating the most productive collaboration reveals different structures based on the number of components and the geographic distribution of the authors. Our results highlight that collaboration is an important resource for leading young universities, but the collaboration structures of their authors differ significantly. Although overall collaboration is high, structural difference impact academic performance. Besides the prevalence of authors with certain types of affiliation, three collaboration models are identified: diverse collaboration, active intra-university collaboration, and active international collaboration. We discuss the risks associated with differing core compositions and propose policy recommendations based on our findings.

Language: English
DOI
Keywords: co-authorship networkScientific collaborationleading universities
Publication based on the results of:
The diversity of forms, effects and barriers to integration of modern Russian society in synchronic and diachronic dimensions (2025)

In book

Proceedings of the 20th International Conference on Scientometrics & Informetrics (ISSI2025), Vol. 2
Matveeva N., Batagelj V. Yerevan: Publishing House of the National Academy of Sciences of the Republic of Armenia, “Gitutyun”, 2025.
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