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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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Internationalization of Regional Clusters: Theoretical and Empirical Issues

NRU Higher School of Economics , 2015. No. WP BRP 41/STI/2015.
Islankina E.
Today regions are becoming independent actors able to compete globally as globalization of competition is consistent with the localization of competitive advantage. In many ways regional competitiveness is based on the clustering concept. Changes in the global economic environment are making cluster linkages more important, too. Clusters are not capable of long-term excellence and development unless their members are acting in global markets and involved in international knowledge transfer. Thus, internationalization of clusters has turned out to be a new subject of innovation policy and regional development agenda, however lacking strong scientific background in Russia. The paper aims at discovering theoretical and analytical basis for clustering concept and internationalization, the reviewing of best internationalization practices from the clusters worldwide as well as exploring empirical issues of regional clusters' internationalization in Russia and their comparison with the EU outputs. A special emphasis is put on the articulation of practical guide for cluster management organizations responsible for the development of global linkages.
Research target: Economics and Management
Priority areas: economics management
Language: English
Full text
Text on another site
Keywords: РоссияRussiaрегиональное развитиеЕСинтернационализацияinternationalizationregional developmentинновационные кластерыinnovative clustersthe EU
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