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News
June 22, 2026
‘In Science, You Are Your Own Boss
Polina Nasledskova is interested in identifying gaps in linguistics and topics that have been overlooked by other researchers. In an interview for the  Young Scientists of HSE University project, she spoke about rare ordinal numerals in Nakh-Daghestanian languages, the benefits of knitting for concentration, and the beauty of the Patriarshy Bridge.
June 19, 2026
HSE Researchers Determine Which Internet Users Are More Likely to Fact-Check
Researchers at HSE University examined the strategies employed by Russian internet users to verify unreliable information and the factors that motivate them to do so. The study found that more than half of users who encounter potentially false information online attempt to verify it by locating the original source. The likelihood of fact-checking is influenced by several factors, including age, place of residence, social status, information literacy skills, and the use of AI. The findings have been published in Monitoring of Public Opinion: Economic and Social Changes.
June 5, 2026
'Im Used to Producing Distilled Knowledge'
Ivan Rubachev works in a HSE University laboratory established jointly with Yandex Research, where he focuses on machine learning with tabular data. In this interview with the HSE Young Scientists project, he discusses why following a vibe can be better than goal-setting, explains the concept of the Neural Turing Machine, and argues why withholding scientific knowledge is counterproductive.

 

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Contemporary Methods and Systems Modeling for Systemic Marketing Research

The Wissenschaftszeitschrift Journal. 2015. Vol. 1. No. 1. P. 11–20.
Serova E., Bagiev G.

Modern business is a complex multicomponent system, the primary elements of which are information and knowledge. The focus on supporting knowledge intensive processes is significant and on the first place there is a need to support the process of reasonable and right decision making. This paper is devoted to the issues of choice, creating, and implementation of intelligent models and systems for business analysis in the context of spatial economics paradigm. The main purpose of this research is characterization of qualitative parameters that impact on equilibrium of operation and development of spatial management systems, including marketing systems, and formation of conditions for maximizing its effectiveness. The paper contains theoretical foundations and comparative analysis of different modeling methods and systems and quantitative results obtained through the experimental model.

Research target: Computer Science Economics and Management
Priority areas: economics management IT and mathematics
Language: English
Full text
Text on another site
Keywords: knowledge economyMarketing SpaceSpatial Marketing SystemFuzzy Logic Model
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