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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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Транспортно-логистическая система Московской агломерации: анализ состояния и перспективы развития

Логистика и управление цепями поставок. 2017. № 5. С. 51–70.
Левина Т. В., Domnina S.

The topicality of the paper is defined by the world trends of economic development accompanied by the growth of urban population and the formation of agglomerations. Moscow agglomeration has a leading development potential among others.

Uncoordinated and unbalanced policies of various government agencies and monopolies as well as business structures can lead to irrational expenditure of investments and negatively affect the public interests: environment, level of prices for consumer goods and services, level of service, imbalance of labor market, aggravation of problems related to the labor migration. In long-run perspective it may lead to a slowdown or even a reduction in the gross regional product.

The article considers main stages of urbanization, models of urban environment development (functional distribution of infrastructure), spatial development of agglomerations (mono- and polycentric agglomerations), and main risks associated with the development of Moscow agglomeration according to the adopted model.

The work focuses on the necessity to clarify the boundaries of the Moscow agglomeration when the interests of nearby territorial entities are under consideration and projects of logistics and manufacturing infrastructure development are planned.

Based on the program and reports it was evaluated the effectiveness of remedies to develop Moscow agglomeration implemented by state and municipal authorities. As well, it was analyzed the potential impact of remedies on the interests of industries and social spheres that are related to the implementation of these projects.

In particular, it is shown the data on the level of development and geographical distribution of regional warehouse infrastructure, the provision of freight rail infrastructure, the problem with staffing issues in the logistics sector and the migration situation in the Moscow region.

The conducted research confirms the necessity to elaborate transport and logistics system in Moscow agglomeration taking into account all risks associated with side-effects of the program.

There are some key conclusions are received in the article among which: 1) it is required to coordinate programs on the level of the whole agglomeration and industries whose performance indicators reflect the decisions made; 2) the transport and the logistics system of Moscow agglomeration should be developed taking into account all risks associated with the side-effects of the program; 3) the second proposition can be realized via the creation of a center responsible for the development of various agglomerations; 4) the center mentioned in the point three should include not only state and municipal authorities, but also science and business in order to coordinate programs at different levels, provide methodical support and collect data which will be used to monitor and evaluate the effectiveness of projects.

Research target: Economics and Management
Priority areas: management state and public administration
Language: Russian
Keywords: логистикалогистическая инфраструктуратранспортная системаурбанизацияurbanizationМосковская агломерацияMoscow agglomerationcity logisticstransport systemlogistics infrastructure
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