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News
August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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Перспективы декарбонизации мировой экономики в контексте реализации Парижского климатического соглашения ООН

Вестник международных организаций: образование, наука, новая экономика. 2022. Т. 17. № 4. С. 38–61.
Сафонов Г. В., Kozeltsev M. L., Стеценко А. В., Dorina A., Сафонова Ю. А., Semakina A., Sizonov A., Сафонов М. Г.

Russia is one of the main emitters of greenhouse gases in the world, possessing vast reserves of fossil fuels, renewable energy resources and biggest forest areas. The Paris Climate Agreement requires significant efforts to prevent global warming above 1,5-2°C. The economic analysis the scenarios of low carbon development of Russia by 2050 based on the TIMES-Russia model showed that development of low carbon sector, including bioenergy, can play a crucial role in reduction of carbon emissions. The deep decarbonization scenario ensures reduction of CO2 emissions by 83% below 2010 level by 2050. The research provides quantitative estimates of the opportunities to comply with the national commitments under the Paris Agreement and deeply decarbonize Russia´s economy by 2050.

Research target: Other social sciences Economics and Management Effective Natural Resource Management
Language: Russian
DOI
Keywords: Россияизменение климатаRussiaclimate changegreenhouse gasesпарниковые газыbioeconomyбиоэкономикаdecarbonizationlow carbon developmentдекарбонизациянизкоуглеродное развитиебиоэнергетикаПарижское соглашениеParis Agreementbioenergy
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