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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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The Housing Market in Russia: Lessons of the Mortgage Crisis

P. 195–227.
Kosareva N., Andrey Tumanov

This chapter is devoted to the analysis of the impact of the global financial crisis on the nascent housing market in Russia, which started developing less than 10 years ago. At the same time we make an attempt to estimate whether there were "bubbles" in this market. This chapter has the following structure.

It starts with an overview of the housing sector in Russia before the meltdown and analysis of the evolution of housing property rights. Next we look at both the supply side (housing stock and new construction) and the demand side of the situation in housing market before 2009. The section ends with a summary description of the situation in housing mortgage finance and affordability of housing, which is a big challenge for a developing housing market.

The second section analyzes the impact of the global financial crisis on the mortgage sector in Russia and highlights new trends in the housing sector. We focus on government anti-crisis measures in the housing market and the role of government-sponsored organizations. Two main areas of government intervention in the housing and mortgage markets are analyzed: state support of mortgage borrowers and the housing construction industry.

Next we raise the issue of the presence of housing bubble in Russia and analyze main determinants of housing price trends and their impact on housing market.

The chapter concludes with an outline of the housing and housing mortgage markets in Russia.

Language: English
Full text
Keywords: mortgagehousing policypriceshousing market
Publication based on the results of:
Structural transformation and some problems of regulation in the Russian economy (2015)

In book

Global Housing Markets. Crises, Policies, and Institutions
Wiley, 2012.
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