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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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What user-innovators do that others don't: a study of daily practices

NRU HSE , 2016. No. 62.
Fursov K., Nefedova A., Thurner T.
This paper argues that innovation behavior roots in specific socio-psychological set-ups that crystallize in daily practices and routines. The latter are easy to observe and have great potential for the identification of user-innovation behavior. We study the practices and routines of Russian user-innovators around media consumption, internet and technologyusage, consumer preferences and civic engagement in comparison with a sample of mere users. The derived model correctly classified 73% of the original grouped cases of userinnovators. We conclude that a set of practices relative to the economic, social and cultural background explains user-innovation engagement and how support could be provided. Although some of our findings are probably specific to Russia, the results are encouraging for further research into the importance of practices and routines in identifying user-innovators.      
Research target: Sociology (including Demography and Anthropology Economics and Management
Priority areas: economics sociology
Language: English
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DOI
Text on another site
Keywords: РоссияRussiaпользовательские инновацииинновационное поведение населенияinnovation behaviorповседневные практикиcommunity innovationuser innovationconsumer innovationdaily practicies
Publication based on the results of:
Development of the new approaches to the analysis and modeling of the behavior of actors of innovation processes and markets: operationalization of innovation strategie (2016)
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