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June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
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Мировые тенденции государственной жилищной политики

Жилищные стратегии. 2019. Т. 6. № 1. С. 9–44.
Kholodilin K.

This article describes and analyses the main instruments of state housing policy applied in different countries. In addition, it proposed a quantitative approach to the measurement of the intensity of state regulation of market rental housing. With the help of indexes of intensity of regulation, characterizing instruments such as the limitation of rent, protection of tenants from eviction and the rationing of housing, we show the main trends of state intervention in 81 countries/provinces from 1910 to 2017. In addition, the article examined in details the housing policy in three countries: Germany, USA and Russia.

Language: Russian
DOI
Keywords: жилищная политикаhousing policyhousing rationingrental housing marketregulation indicesrent controlprotection from evictionleximetricsрынок съёмного жильяограничения квартирной платызащита от выселениярационирование жильяиндексы регулированиялексиметрия
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