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September 25, 2026
AI Users Earn Up to 41.8% More Than Non-Users
Research conducted by economists at HSE University has revealed a significant correlation between the regular use of GenAI in the workplace and higher pay among Russian employees. The study found that individuals who frequently use GenAI in their professional activities earn notably more than those who reject these new tools or resort to them occasionally. The salary premium for highly qualified specialists reaches 41.8%. The article was published in the Voprosy Ekonomiki journal.
September 24, 2026
‘Feedback and Constructive Criticism Are Essential in Our Profession
Vincent Fardeau, Associate Professor at HSE ICEF, has reached a major career milestone: he recently published his paper ‘Asymmetric Thin Markets’ in the Journal of Financial Economics, successfully passed his major academic review, and received tenure. In this interview, Vincent discusses the story behind the paper, explains the concept of asymmetric thin markets, and shares his advice for young scholars aiming to publish in top-tier journals.
September 22, 2026
Personal Interest in Doctoral Thesis Topic Most Important for Confidence in Successful Defence
A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.

 

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Проектирование качества швейных изделий с применением искусственного интеллекта

Научный журнал «Костюмология» (Journal of Clothing Science), Российская Федерация. 2021. Т. 6. № 2. С. 1–14.
Туханова В. Ю.

This article provides an overview of existing methods for assessing the quality of garments at the stage of design. The article considers the absolute, product-oriented, consumer-oriented, producer-oriented and value-based approaches to classification of quality criteria for the design and manufacturing of light industry products. The author analyzed traditional models for assessing the quality of garments, including methods of expert assessments. The article deals with a set of indicators that determine the quality of garments. The list of indicators includes the perfection of the technical and aesthetic performance of the product, socio-economic indicators, functionality, functional reliability and safety of a garment. A conceptual model for designing the quality of a garment was developed by the author. The process is presented in the form of a function, the arguments of which are the organization of the process of designing and manufacturing a garment; garment manufacturing; confectioning of materials; garment operating conditions; garment’s design parameters; garment manufacturing technology; garment pricing; social factors. The article provides a rationale for using artificial intelligence technologies to solve the problems of selecting optimal design proposals, manufacturing technology, materials and other parameters. The article also considers possibilities of a three-dimensional clothing design digital platform, which contains a range of technical characteristics that ensure the implementation of a conceptual model for designing a garment quality, including design and technological documentation for the production of a batch of products; artistic-aesthetic and physical-mechanical properties of materials; garment’s design parameters; garment pricing in terms of the materials and accessories costs. The author proposes ways of introducing artificial intelligence technologies into the process of quality assessment in the garments design.

Research target: Materials Technologies Engineering and Technology
Priority areas: engineering science
Language: Russian
Full text
Text on another site
Keywords: проектированиетехнологияtechnologydesignquality качествоartificial intelligenceигровой искусственный интеллектgarmentsquality assessment methodsшвейные изделияметоды оценки качества
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