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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
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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.
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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Impact of the crises on household consumption patterns: An analysis of Russian regions

Emerging Markets Review. 2026. Vol. 73. Article 101482.
Voytenkov V.

This paper examines the effects of the 2008, 2014, and 2020 crises on household consumption patterns in Russian regions. The micro-level analysis is conducted using quarterly data from Rosstat's Household Budget Survey. Dependent variables are expenditure on food at home, out-of-home, alcohol, non-food items, services. Explanatory variables are household characteristics and dummy variables that capture the impact of crises during three periods: the precrisis period, the acute phase, and the postcrisis period. Our findings confirm the asymmetric impact of the 2008, 2014, and 2020 crises on household consumption patterns. We present empirical evidence of the recovery of precrisis consumption habits.

Research target: Economics and Management
Language: English
DOI
Keywords: incomeconsumer behaviourconsumption structureEducational attainmenthousehold-level2008, 2014, 2020 crises
Publication based on the results of:
Current Issues of Macroeconomic Dynamics and Macroeconomic Policy in Russia (2025)
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