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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
‘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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Smart Solutions as Investment in Social and Human Capital

Lecture Notes in Networks and Systems. 2021. Vol. 155. P. 625–632.
Tokareva S., Dikarev I., Inna V. Skrynnikova

Purpose: The paper analyzes the effects of smart solutions implemented in social practices on boosting social and human capital and change in the quality of life. Its major objective is to specify the conditions under which smart technologies contribute to increasing depersonalized and institutional trust as components of social capital or public good.

Design/Methodology/Approach: Methodologically, the study relies on the conceptions of social and human capital which emphasize the effects of digitalization on the ways people interact and cooperate; reveals the positive correlation between civic engagement and levels of interpersonal and institutional trust. The conception of a smart city proposed by the urbanists in the early 2000s serves as the theoretical basis for the current research into the effects of smart technologies on the quality of life.

Findings: The study reveals that smart solutions affect various aspects of life quality (subjective life satisfaction, well-being, improved social climate), are helpful in overcoming passive attitudes; contribute to the revival or formation of new traditions along with the creation of the public good, serve as tools for establishing an active civil society.

Originality/Value: Being implemented into social practices and increasing the efficiency of investing in social capital, the technologies are related to applying information platforms as the tools of civic engagement; to developing online-education; to technological change in leisure activities. The systemic application of this group of smart technologies is becoming a significant macro-social process affecting the levels of interpersonal and institutional trust in society due to the spread of crowd-sourcing in the field of social and civic activity.

Research target: Other social sciences
Language: English
DOI
Text on another site
Keywords: social capitalsocial networksinterpersonal trustcivic engagementdigitalizationhuman capitalinstitutional trustSmart solutions
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