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  • Пульс малого бизнеса: цепные индексы как источник экспертных оценок (на основе данных «Лонгитюда малого бизнеса» ФОМ)
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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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Пульс малого бизнеса: цепные индексы как источник экспертных оценок (на основе данных «Лонгитюда малого бизнеса» ФОМ)

Социологический журнал. 2026. Т. 32. № 2. С. 32–44.
Pashkov S., Chepurenko A.

This article discusses the methodological possibilities and specific features of constructing chain indices based on longitudinal sociological data. The relevance of the study stems from the shortage of diverse socio-economic indicators for promptly tracking fluctuations in the expectations and intentions of small business owners under heightened uncertainty. The authors show that the chain index methodology is a relatively simple and convenient tool for measuring a series of categorical variables that serve as indicators. In order to obtain robust estimates, the article applies the balance method for calculating index values, followed by aggregation through averaging of partial indices, using data from the FOM Small Business Longitudinal Study, which has been conducted quarterly since 2021. On the accumulated longitudinal data, the paper substantiates an index-based methodology for measuring changes in the assessments and expectations of small business owners — the Small Business Pulse (SBP). The article provides examples of calculating the SBP as an aggregated cumulative index based on four thematic indices (entrepreneurial intentions, perception of the macroeconomic environment, assessment of structural changes, and selfassessment of the state of the business). The stability of the time series is verified using the ARIMA methodology. The results made it possible to identify the functional and analytical advantages of the four thematic indices within the SBP, as well as its analytical potential.

Research target: Sociology (including Demography and Anthropology Economics and Management
Language: Russian
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Keywords: малое предпринимательстволонгитюдцепные индексыбалансовый метод
Publication based on the results of:
The Impact of External Shocks and Restrictions on the Strategies of Economic Agents in the Context of the New Reality (2025)
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