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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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Операционализация стратегий компаний в области инновационного развития: возможности использования технологических дорожных карт

Российский журнал менеджмента. 2023. Т. 21. № 4. С. 453–480.
Bereznoy A., Snegirev A.

Goal: identify the key barriers hindering operationalization of the corporate innovation strategies (i. e. the transition from the adopted strategy to its implementation at the operational level) and define the capabilities of technology roadmaps (TRM) to overcome these barriers. Methodology: consists of two logically connected parts: 1) the comparative analysis of relevant international empirical research to identify the main issues of putting the agreed-upon corporate innovation strategies into action; 2) real case study analysis of TRMs application in the large corporate entities working as a tool to deal with the identified issues. Findings: identification and characterization of a core set of typical issues representing the most significant barriers to translate corporate innovation strategies into action; definition of the main advantages of TRMs as an effective tool for operationalization of corporate innovation strategies; the conclusions on the relevance of TRMs for developing and monitoring the programmes for innovation development of Russian companies with State participation. Originality and contribution of the authors: the novelty of the paper relates mainly to identification of significant potential and the main avenues for TRMs application in dealing with the “strategy-execution gap” in the context of innovation activities of large companies. From this perspective, it would be no less important to note that the key issues and mechanisms of integration between strategy and operations-related functionalities of TRMs are defined and specified.

Research target: Economics and Management
Language: Russian
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Keywords: стратегия инновационного развитияtechnology roadmapтехнологическая дорожная картаoperationalization of company's strategystrategy for innovation developmentintegration of strategic and operational managementоперационализация стратегии компанииинтеграция стратегического и операционного менеджмента
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