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News
June 19, 2026
HSE Researchers Determine Which Internet Users Are More Likely to Fact-Check
Researchers at HSE University examined the strategies employed by Russian internet users to verify unreliable information and the factors that motivate them to do so. The study found that more than half of users who encounter potentially false information online attempt to verify it by locating the original source. The likelihood of fact-checking is influenced by several factors, including age, place of residence, social status, information literacy skills, and the use of AI. The findings have been published in Monitoring of Public Opinion: Economic and Social Changes.
June 5, 2026
'Im Used to Producing Distilled Knowledge'
Ivan Rubachev works in a HSE University laboratory established jointly with Yandex Research, where he focuses on machine learning with tabular data. In this interview with the HSE Young Scientists project, he discusses why following a vibe can be better than goal-setting, explains the concept of the Neural Turing Machine, and argues why withholding scientific knowledge is counterproductive.
June 17, 2026
Population Lifespan Is Governed by Mathematical Laws
Researchers at HSE University and MSU have established a universal law governing the time to extinction of a population in a random environment. Their analysis of the evolution of branching processes—complex probabilistic systems—shows that, regardless of the initial population size, extinction follows strict mathematical laws. The results have been published in the Journal of Applied Probability.

 

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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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Text on another site
Keywords: system dynamicsagent-based modelingsimulation modelingsynergeticsstrategic developmentsocio-economic systemsstratification
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