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News
May 15, 2026
Preserving Rationality in a Period of Turbulence
The HSE International Laboratory for Logic, Linguistics and Formal Philosophy studies logic and rationality in a transformed world characterised by a diversity of logical systems and rational agents. The laboratory supports and develops academic ties with Russian and international partners. The HSE News Service spoke with the head of the laboratory, Prof. Elena Dragalina-Chernaya, about its work.
May 15, 2026
‘All My Time Is Devoted to My Dissertation
Ilya Venediktov graduated from the Master’s programme at the HSE Tikhonov Moscow Institute of Electronics and Mathematics through the combined Master’s–PhD track and is currently studying at the HSE Doctoral School of Engineering Sciences. At present, he is undertaking a long-term research internship at the University of Science and Technology of China in Hefei, where he is preparing his dissertation. In this interview, he explains how an internship differs from an academic mobility programme, discusses his research topic, and describes the daily life of a Russian doctoral student in China.
May 15, 2026
‘What Matters Is Not What You Study, but Who You Study with
Katerina Koloskova began studying Arabic expecting to give it up after a year—now she cannot imagine her life without it. In an interview for the Young Scientists of HSE University project, she spoke about two translated books, an expedition to Socotra, and her love for Bethlehem.

 

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Разработка и применение комплексных нейросетевых моделей массовой оценки и прогнозирования стоимости жилых объектов на примере рынков недвижимости Екатеринбурга и Перми

Имущественные отношения в Российской Федерации. 2017. Т. 186. № 3. С. 68–84.
Yasnitsky L., Ясницкий В. Л.

Developed complex economic and mathematical models of mass valuation of residential real estate of cities of Yekaterinburg and Perm, which take into account both construction and operating parameters of the apartments, and the changing economic situation in the country and the world. Study models showed that the increase in new housing in Yekaterinburg, 4% in the short term can lead to market saturation and the subsequent decrease in the value of residential properties, in contrast to the Perm market, where the increase of housing to the same 4% to the saturation effect of the market does not.

Research target: Mathematics Economics and Management
Priority areas: economics management business informatics
Language: Russian
Full text
Keywords: недвижимостьоценка недвижимостипрогнозированиеartificial neural networks real estateискусственная нейронная сетьestate appraisal
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