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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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Synergetics and development processes in socio-economic systems: Search for effective modeling constructs

Business Informatics. 2016. No. 1. P. 66–79.
Lychkina N. N.

The paper explores the genesis of the socio-economic processes of strategic development of social transformations in a transition economy. Author studies the system patterns and structural and dynamic aspects of developing socio-economic systems, defining the need for adequate modeling methods. Restrictive features of traditional mathematical modeling are analyzed. Synergetics is applied as a theoretical and methodological fundamental of the research and modeling developing socio-economic systems. Modeling social behavior, individual choice, various forms of social interaction and self-organization processes are recognized to be significant aspects. Searching for methods of model description is based on carrying out interdisciplinary research in the field of economic and social sciences, using modern paradigms (system dynamics, agent-based computer simulation) and simulation technologies and analysis of their possibilities in the study of the dynamic aspects of the development processes in socio-economic systems. General concept of simulation of developing socio-economic systems based on the principles of stratification is proposed: a micro-level reproduces individual decisions of social and economic agents, collective organizational forms, and a macro-level describes processes of evolution. The interpretation of the interactions between socio-economic configurations based on the analysis of causal dependencies and dynamic manifestations of the interpenetration of phenomena occurring in different strata of the social system. It offers the methods of combining composite system-dynamic and agent-based models, allowing us to investigate the dynamics of socio-economic processes by a cyclic interaction of processes of individual and group behavior of economic and social agents at the micro level with the basic processes of socio-economic system at the macro level. The basic directions of development of technologies of simulation in procedures and strategic decision support systems are defined as following: a computer dynamic scenario analysis based on a generalized simulation model of the control object, the model of balance of interests in the procedures of coordination of scenarios and interests of the participants of the process of social design, a stratified description of the model set with the use of ontologies, methods of parameterization of models of socio-economic systems and the specifications of agents.

Research target: Computer Science Sociology (including Demography and Anthropology Economics and Management
Priority areas: economics sociology state and public administration IT and mathematics business informatics mathematics
Language: English
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Keywords: system dynamicsagent-based modelingsimulation modelingsynergeticsstrategic developmentsocio-economic systemsstratification
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