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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
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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.
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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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Institutions of scientific knowledge generation in regional economic systems

P. 808–818.
Popov E. V., Sandler D. G., Popova N. G., Kochetkov D.M.

The institution of the university comprises one of the most important actors within national, regional or metropolitan economic systems. Typically, metropolitan universities are seen in terms of components of the respective national economic system. However, the object of our research is the institution of the regional university, which is defined in terms of a regional economic actor. There are various models for analysing the impact of universities on the regional economies. Several studies have studied this phenomenon in terms of providing employment, increasing expenditures and exporting educational services to other regions. However, in emphasising the role of universities in regional economies within the knowledge economy, most contemporary researchers consider the university as a major producer of scientific knowledge. Different "helix" models and models of university engagement are constructed in the context of this position. In order to overcome problems concerning terminological and methodological diversity, we propose to employ an institutional approach to the analysis of economic phenomena. Institutions are understood as comprising a set of formal and informal norms, as well as the mechanisms required to implement their conformance with these norms. The aim of our study is the development of a typology of institutions of scientific knowledge generation according to the different phases and stages of scientific production. In order to avoid an artificial gap in the subject-object relation, we analyse the problem on the basis of the methodological unity of actors, stakeholders and institutions, as well as their interactions with the environment (natural, political, social, economic and cultural). For the classification of institutions, several dimensions were referred to: the stages of knowledge generation (production, exchange, dissemination and consumption); management functions (planning, organisation, control and motivation). The model of circulation of explicit / tacit knowledge SECI developed by Nonaka and Takeuchi for the corporate sector is also thought to be relevant in this connection. On the basis of this model, we have identified the institutions of socialisation, externalisation, combination and internalisation of knowledge. The results of the study will be used in the further analysis of case studies of universities, both in Russia and elsewhere.

Language: English
Full text
Keywords: Russiaeconomic institutionsclassificationhigher educationknowledge generationtacit knowledgeinstitutional configurationexplicit knowledgeSECI

In book

Proceedings of the 18th European Conference on Knowledge Management ECKM 2017
Academic Conferences and Publishing International Limited, 2017.
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