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October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.
October 5, 2026
‘The Climate Transition Is Not Necessarily a Limitation for Business
Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.
October 5, 2026
Africa, Youth, and Civic Dialogue: Public Diplomacy Discussed at HSE University
In late September, HSE University hosted a roundtable discussion titled Civil Society in African Countries and Youth Participation in Public Diplomacy. Representatives of non-governmental organisations from Ghana, Ethiopia, and Russia, along with students from HSE University’s Bachelor’s Programme in Public Administration, discussed how young people without official diplomatic status can influence relations between countries and how the nonprofit sector can remain sustainable amid declining grant funding.

 

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Agent-based simulation modelling for regional ecological-economic systems. A case study of the Republic of Armenia

Journal of machine learning and data analysis. 2016. Vol. 2. No. 1. P. 104–115.
Akopov A. S., Beklaryan A., Beklaryan L. A., Saghatelyan A. K.

In the article, actual problems of modeling of ecologic-economic systems on the example of the Republic of Armenia (RA) are considered. Based on methods of agent modeling and system dynamics the simulation model of ecological-economic system, which has allowed constructing the RA Ecological Map was created. The important purpose of the offered approach is search of scenarios of rational modernization of the agent-enterprises, which are the main sources of emissions of emissions with simultaneous definition of effective strategy of the government regulation. The bi-criterial optimization problem for the ecological-economic system of RA is formulated and solved with the help of the developed genetic algorithm

Research target: Computer Science Economics and Management Mathematics
Priority areas: management IT and mathematics business informatics
Language: English
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Keywords: имитационное моделированиемногокритериальная оптимизация system dynamics системная динамикаagent-based modelingsimulation modelingecological-economic systemэколого-экономическая системаmulti-objective optimizationагентно-ориентированное моделирование
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