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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.
September 7, 2026
Biologists Discover 'Molecular Fingerprint' of Preeclampsia
Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.

 

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Теоретизируя цифровые платформы: концептуальная схема для гиг-экономики

Экономическая социология. 2023. Т. 24. № 5. С. 11–53.
Shevchuk A.

Contemporary sociology of work pays increasing attention to the study of the work experiences of individuals engaged in digital labour platforms. However, for a deeper understanding of the gig economy, this approach needs to be complemented by an analysis of the digital platforms as organizational structures and social actors. This article proposes a conceptual framework for such analysis, drawing on theoretical insights from economic sociology, institutionalism, and political economy. The role of digital platforms is problematized through the five key categories (organizational innovation, mediator, market infrastructure, private regulator, institutional entrepreneur), which are systematically integrated into the analysis. Digital platforms represent a radical organizational innovation built on technologies capable of effectively coordinating the activities of dispersed agents without requiring their spatial, temporal, or organizational co-presence. This facilitates the growth of businesses benefiting from the mediation of external workers and resources. The communication means facilitated by platforms gradually transform into systemic infrastructure, shaping the fundamental conditions for market functioning. With the ability to unilaterally establish “rules of the game” and exercise algorithmic control, platforms evolve into private market regulators, competing with the state. To strengthen and legitimize their power, platforms actively engage in the political process with the aim of social market reorganization and overall institutional restructuring. At this stage, the conceptual framework loops back to the idea that platforms represent an innovation, the diffusion of which must address the most acute social contradictions related to the role of platforms as mediators, infrastructures, private regulators, and institutional entrepreneurs.
The article demonstrates how the proposed categories can be applied to the analysis of various gig economy issues.

Research target: Sociology (including Demography and Anthropology Economics and Management
Language: Russian
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Keywords: социология рынковsociology of marketsрегулирование рынка трудаинфраструктура рынка трудацифровые платформыинституциональное предпринимательствогиг-экономикаплатформенная экономикаPlatform Economyплатформенная занятостьgig economyplatform workгигономикаdigital labour platformsцифровые трудовые платформыLabour market regulationsплатформенный трудцифровые платформы занятости
Publication based on the results of:
Platform labour: Autonomy and control in the context of algorithmic management (2023)
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