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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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Academic inbreeding and productivity of STEM early career researchers in different environments

Research policy. 2025. Vol. 54. No. 6. Article 105240.
Victoria Slepykh

Academic inbreeding at the individual level is a characteristic of a scholar's career, when they work in the same organisations where they studied. The phenomenon is usually associated with reduced quality of human capital, low circulation of knowledge and ineffective human capital allocation. However, there are a number of countries where academic inbreeding is widespread, but how it affects the research productivity of early career researchers has not been sufficiently explored. This article aims to specify the correlation between academic inbreeding and the individual productivity of early-career researchers within the system characterised by the high level of inbreeding. The study uses environments with different infrastructural and organisational conditions as moderators to clarify the peculiarities of the relationship. Based on data about 1132 early-career researchers in four fields of study it was found that the publication activity of inbred-researchers does not differ from that of their mobile counterparts at prestigious organisations or in regions having middle and small number of academic organisations. However, academic inbreeding negatively correlates with research productivity at universities without special status and in metropolitan regions. Thus, when the organisational environment provides a high quality of human capital for its graduates, the effect of academic inbreeding is mitigated. The same effect of inbreeding is observed in environments with poor choice of employers.

Research target: Education Sociology (including Demography and Anthropology
Language: English
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Keywords: молодые ученыепубликационная активностьакадемический инбридингакадемический рынок трудаacademic labour marketAcademic inbreedingPublication productivityEarly-career researchersPrestigious organisationsПрестижные организации
Publication based on the results of:
Production function of Russian higher education institutions: analysis of features, structure and changes (2024)
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