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News
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
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.

 

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Совершенствование информационного обеспечения деятельности муниципалитетов

Микроэкономика. 2014. Т. 6. С. 116–122.
Bogoviz A. V., Molyarenko (Moliarenko) O.

The current system of state statistics does not cover the needs of local self-government and often does not reflect the actual conditions on municipality for many reasons [3, 4]. At the system of government administration it leads to the fact that the quantity of provided for carrying out social services resources do not correspond with the existing demand for them. Such satiation is also exacerbated by significant redundant and duplicating activities (the collection of the same municipal indicators by several executive agencies). The last phenomenon causes the growth of bureaucracy, reduces its transparency and increases the number of collisions in statistics.

In order to find the solution of outlined problems the field research was carried out. More than 160 civil servants from 5 federal subjects of Russia illustrated the characteristics of data collection and analysis. The revealed during the survey reasons of the used indicators unrepresentativeness are formulated in this article.

Research target: Mathematics Economics and Management
Priority areas: state and public administration
Language: Russian
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Keywords: Росстатнормативно-подушевое финансированиемежведомственный информационный обменper capita financingmunicipal statisticsмуниципальная статистикаведомственная статистикаdepartmental statisticsthe Russian Federation Federal State Statistics Servicefunctions duplicationinterdepartmental information exchangeAll-Russia Population Census (2010)дублирование функцийвсероссийская перепись населения 2010
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