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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
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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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A Cross-National Comparison of the Effect of Work-Related Factors on Membership in Voluntary Associations

P. 101–109.
Spencer S. B., Almakaeva A.

Who joins voluntary associations?  Based on previous research, we hypothesize that full- or part-time employment makes it more likely that respondents will join voluntary associations. This article examines how employment, supervisory status, and other occupational characteristics (creativity, autonomy or intellectual nature of work) influence membership rates in voluntary associations in cross-national comparison.  This research combines individual-level data from the World Values Survey Wave 5 and 6, and country-level Freedom House data, in multilevel regression modeling. This research demonstrates that respondents in the labor force are more likely to report membership in a range of voluntary organizations, controlling for a range of individual and country-level characteristics.  Similarly, employed respondents who are work supervisors are also more likely to report membership in most countries, while creativity at work increases the likelihood of membership in some settings. 

Language: English
Full text
Keywords: civic activities
Publication based on the results of:
Эволюционная теория модернизации: новые наработки в методах и содержании (2016)

In book

XVI Апрельская международная научная конференция по проблемам развития экономики и общества: в 4 кн.
XVI Апрельская международная научная конференция по проблемам развития экономики и общества: в 4 кн.
Кн. 4. , М.: Издательский дом НИУ ВШЭ, 2016.
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Added: June 10, 2015
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