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Subject
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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Sustainable Social Systems: Innovative Service Implications in the Restaurant Business in the Post-COVID Era with Digital Transformation Strategies

Sustainability. 2023. Vol. 15. No. 19. Article 14539.
Elizaveta Fainshtein, Chkoniya V., Serova E., Pavel Vorobyev

The COVID-19 pandemic led to changes in and modifications of the role of information and communication technologies in the digitalization of service provision. This paper aims to identify and summarize these changes in business operations, in the context of strategic management in the restaurant industry, triggered by COVID-19. Based on in-depth interviews with 16 key experts in the restaurant industry (CEOs of chain restaurants), this paper clarifies and concretizes the rapidly transforming problem of identifying the main changes in the restaurant market during the pandemic. These depend on a restaurant’s adaptation level to the challenges that arose, using three dimensions (consumer demand, corporate strategy optimization, and the use of the company’s innovative potential). The analysis shows that chain restaurants, which have sufficient resources to solve the problem of staff turnover, develop technological solutions, and build a brand and customer loyalty, were more resistant to problems arising from the spread of the coronavirus infection than other companies in the catering industry. The presence of serious problems associated with consumer demand and the optimization of the format of the offered dishes and service had a significant impact on the relationship between the impact of the spread of the coronavirus infection and the inability to adapt to the new reality of doing business. The findings reveal that companies need to expand their digital capabilities and adapt their management strategy to the post-pandemic conditions to adapt to the post-COVID-19 period. This paper serves as a framework for understanding the role of digital transformation in sustainable business development.

Research target: Economics and Management Computer Science
Language: English
Full text
DOI
Keywords: innovative potential strategic managementChain restaurant business expert interviews consumer preferencesCOVID-19sustainable digital transformation
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