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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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ПРОБЛЕМЫ ОЦЕНКИ ЭКОНОМИЧЕСКИХ ЭФФЕКТОВ ОТ ИСПОЛЬЗОВАНИЯ ЦИФРОВЫХ ТЕХНОЛОГИЙ В ГОРОДСКИХ ТРАНСПОРТНЫХ СИСТЕМАХ

Бюллетень результатов научных исследований. 2019. № 1. С. 59–69.
Strimovskaya A., Volkova E., Лякина М. А.

Objective: To clarify the existing methods for the assessment of economic effects arising from modern digital technologies applying in urban transport systems. Nowadays, there is an intensive digitalization process in various industries, including transport. This requires the development of relevant methods for assessing the economic efficiency of investments in digitization projects. Methods: To achieve the goal we used such general scientific research methods as observation, analysis, generalization, and analogy. Results: Information about the possibilities of new digital technologies applying in urban transport systems has been digested. The main positive effects arising from digitalization in urban transport systems have been highlighted. Taking into account the specific character of urban transport systems, classification of these effects based on the possibility of their cost estimation has been developed. The authors focus on the debatable issues arising in the process of cost estimation. Practical importance: It is possible to use the results of the research in the planning for the development of urban transport systems, as well as for economic efficiency assessment in digitalization projects aimed at improving the quality of passenger transport services. The results of the research can be used by regulatory authorities and transport companies for the economic efficiency assessment of smart urban transport systems.
 

Priority areas: economics
Language: Russian
Full text
Keywords: пассажирские перевозкиинформационные технологииэкономический эффектцифровизация information technologiesdigitalization
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