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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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Технологические партнерства и инновационные кластеры в авиакосмической отрасли

Экономика и управление в машиностроении. 2022. № 3. С. 36–46.
Kritsyn A., Stupin R.

The article discusses the basic principles and tools of technological cooperation and cluste- ring of the economy of the aerospace industry. The authors’ concept of management models is based on the principles of continuous education and the integration of the design and technological model of training into a system of specialists training in the aviation and rocket-and-space industry. The study hypothesizes that flexible management models, the involvement of technology partners and the formation of a knowledge management system in the aerospace industry will significantly increase the efficiency and sustainability of industry development. The work is based on the results of the research «Digital transformation of public administration: Theories, approaches, methods and technologies» of the Interna- tional Laboratory for Digital Transformation of Public Administration of the HSE University.

Research target: Political Science, International Relations, and Public Administration
Language: Russian
Full text
Keywords: innovation clustersинновационные кластерыракетно-космическая промышленностьуправление даннымиdata governanceцифровое государство aerospace industryцифровое государственное управлениецифровая трансформация в государственном управленииdigital transformation in public administrationdata-driven policy
Publication based on the results of:
Digital Transformation of Public Administration: Theories, Approaches, Methods and Technologies (2021)
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