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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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?

Exploring Internal Mechanisms of Innovation Ecosystem: A Case of Russian Electric Power Sector

P. 190–196.
Burda Y., Volkova I.

Ongoing structural transformation of Russian electric power sector leads to the revision of both technological and organizational backbone of the industry. Spread of innovative technologies, emergence of new types of players and changing consumer behavior force incumbents to adapt their strategies and create various innovative value propositions. However, restrain in resources and capabilities of a single firm leads to the wide adoption of ecosystemic approach towards value creation. At the same time, internal mechanisms of innovation ecosystem remain unexplored. By conducting multiple case study in Russian electric power sector, we reveal existing models of innovation ecosystems and perform an in-depth analysis of their internal mechanisms with the particular emphasis on coordination mechanisms, goals of participating actors and access to common resources and capabilities. Obtained results provide an important empirical evidence upon existing peculiarities of innovation ecosystem concept and may serve as a basis for further theorization of the concept.

Language: English
Full text
Keywords: collaborationinnovation ecosystemelectric power sectorinnovation ecosystem modelCollective Value Creation

In book

International Research Conference “GSOM Emerging Markets Conference-2020”
St. Petersburg State University Graduate School of Management, 2020.
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