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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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Геодемографическая информационная система России: архитектура и информационное обеспечение

Геодезия и картография. 2015. № 12. С. 41–49.
Timonin S., Михайлов Д. И.

The article presents the author’s approach to the design and implementation of the geodemographic information system of Russia (GDIS of Russia) developing at the Institute of Demography, Higher School of Economics. Advantages and disadvantages of the implemented architectures of the geographic information systems of social and demographic contents are revealed on the basis of comparative analysis of Russian and foreign systems. Thus we justified the choice of technical solutions, based on own resources without a dedicated GIS server with own mechanism for working with spatial data based on extended relational database management system data. We defined the system functionality (a set of tools for downloading, storing, displaying and analyzing of geodemographic data) in a form of services. The system of primary and derivative geodemographic indicators for GDIS of Russia is discussed. The logical and physical database models are developed.

Priority areas: sociology state and public administration IT and mathematics
Language: Russian
Full text
Keywords: демографические процессыгеоинформационные системыпространственная демографиягеодемографиямультимасштабность
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