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August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.
August 18, 2026
HSE Scholar Presents Research on Postcards in Brazil and South Korea
Timur Khusyainov, Deputy Dean of theFaculty of Humanities atHSE University–Nizhny Novgorod, took part in two international conferences—the XVI World Congress of Rural Sociology in Porto Alegre, Brazil, and the 36th Annual Conference of the Alliance of Digital Humanities Organisations (DH2026) in Daejeon, South Korea. On his way to the conferences, the researcher also visited several other places, where he presented the experience of the Pochtovoe educational project.

 

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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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