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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.
June 5, 2026
‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It
Polina Tabakova decided to apply for a Philology degree at HSE in Nizhny Novgorod because she grew up in Mari El and did not want to move far away from the Russian forests. In an interview for the Young Scientists of HSE University project, she spoke about the genre of the campus novel, the existential drama of Kolobok, and a blackout version of Eugene Onegin.
June 5, 2026
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

 

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Russian Provincial Society. An Empirical Analysis

Springer, 2022.
Plusnin J.

This book presents a unique analysis of modern Russian provincial society. Based on detailed empirical evidence, it develops a theoretical model of Russian provincial society in the late 20th century and the early 21st century. The book explains how under the conditions of catastrophic changes, Russian provincial societies have undergone a structural transformation. It further sheds light on the transformation of the economic behavior of the population and households with regard to economic practices, crafts, and revived archaic forms of labor behavior.

Summarizing the extensive empirical evidence, the book puts forward the concept of complementarity of two social structures at the local level: a ground "soft communal" structure and a "tightening with an iron hoop" estate state structure. Next, it discusses the stability and resistance of the local social structure to external political disturbances. Based on the presented analysis, the book introduces several independent criteria on the basis of which it establishes the typology of all empirically observed forms of societies. Subsequently, the book identifies six main types of Russian provincial societies. It explains how depending on the type, the different societies either adapt to political and economic changes in different ways, stay unchanged or transform their structure.

The book will appeal to students, scholars, and researchers of economics, political science, sociology, and anthropology, interested in a better understanding of transformation studies, population and household economics, provincial societies, as well as Russian societal structures. 

Research target: Sociology (including Demography and Anthropology Economics and Management
Language: English
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Keywords: local self-governmentrussian societypost-soviet transformationwandering workersspatial isolationprovincial local societycraftslabor migrationeconomic structureTransformation studiesLocal territorial organizationSociety and community Rural societyLocal economy Typology of local societiesProvincial authorityIsolated communitiesGarage economy
Publication based on the results of:
Промыслы провинции: организация неформальных экономических практик населения (2019)
Russian Provincial Society. An Empirical Analysis
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