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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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Assessments of the Forest Carbon Balance in the National Climate Policies of Russia and Canada

Doklady Earth Sciences. 2021. Vol. 501. No. 2. P. 1091–1095.
Krenke A. N., Ptichnikov A. V., Shvarts E. A., Петров И. К.

This paper examines the role of forests in national climate policies of two countries very rich in woods: Russia and Canada. Canada has made efforts to reduce direct CO2 emissions in the national economy, intensify forestry, and increase greenhouse gas sequestration by forests. Russia focuses on the verification and recalculation of the carbon sequestration capacity of its forests. Analysis of the Russian and Canadian stationary models used to assess the carbon sequestration capacity of forests (ROBUL and CBM-CFS, respectively) shows that both the Canadian model and the Russian one derived from it reflect the stationary dynamics of forest stands, which inevitably results in a downward CO2 absorption trend. Even if the forest inventory is updated on a regular basis, the predictive components of such models are unable to take into account the variability of forest ecosystems and their adaptation to climate change. Models that describe global carbon fluxes (e.g., ones using FLUXNET and remote sensing data) provide significantly higher net carbon sequestration values and indicate a nondecreasing net carbon accumulation trend in forests. It is concluded that stationary and remote sensing models should be used together to assess net carbon sequestration and formulate key principles of national climate policies in countries rich in forests.

Research target: Social and Economic Geography (including Urban and Transportation Studies) Earth Sciences Agriculture, Forestry, and Fisheries Economics and Management
Language: English
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Keywords: Российская ФедерацияКанадаCanadaboreal forestsRussian Federationnational climate policycarbon balanceНациональная климатическая политикабореальные лесауглеродный баланс
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