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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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О рекомендациях по конфигурации электронных платформ общественного участия: обзор российского и международного опыта

Вестник Омского университета. Серия: Экономика. 2018. № 3. С. 213–225.
Revyakin S.

The article explores e-participation platforms for government strategic planning. The paper reports a study that analyzes the concepts related to public participation and presents the results of a research aimed to suggest the classification of existing electronic platforms and define best practice in terms of its parameters and features. Based on the analysis of 37 electronic platforms, which used for public participation in Russia, e-platforms classification has been suggested. The comparative analysis of defined types of the platforms showed the differences in the parameters. Based on this 27 platforms has been excluded from further research as they aimed at solving individual problems of citizens. We analyzed the parameters of other 10, which used for socio-economic planning, and define its typical profile (in terms of parameters). In order to define best-practice parameters of electronic platforms we analyzed the examples from leading countries as per international rankings for the level of e-democracy and e-participation. Having summarized the results into such platforms typical profile (in terms of parameters) we compared it to Russian platforms profile and based on that recommended 9 parameters of e-platform configuration to be used as a best practice.

Research target: Economics and Management
Priority areas: state and public administration
Language: Russian
Full text
Keywords: public participationобщественное участиеэлектронное участиеe-Participationэлектронные платформыelectronic platformssocio-economic planningсоциально-экономическое планирование
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