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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.
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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.
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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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Uptake of ecosystem service concept in urban blue-green infrastructure planning and decision-making in Russia

Blue-Green Systems. 2024. Vol. 6. No. 2. P. 327–344.
Konstantinova A., Filyushkina A., Maximova O., Kerdivar K., Gromova A., Matasov V., Vasenev V.

In the scientific community, ecosystem services (ESs) are well-recognized as a promising concept to more actively consider and plan for the multitude of benefits provided by the green environment and thus promote sustainable urban development. Yet, to have an impact on decision-making, the concept must spread from academia to practice. To understand to what extent ES have been adopted in practice and decision-making in Russia, we conducted a series of interviews and an online survey with both practitioners and scientists and complemented it by document analysis. Our results showed that ES are not adequately reflected in urban decision-making and planning processes. Moreover, we found no explicit references to ES in strategic urban planning and landscape development projects, although there are few implicit references in several reviewed documents. Among the identified challenges for better uptake of the concept in practice were many disagreements associated with the lack of a unified terminology, typology, and methods. Stakeholders understand the potential of applying ES valuation in practice, which includes a necessity to develop methodological materials and different tools based on real-life cases. Finally, a list of proposals on possible ways to better include ES in urban planning and in decision-making processes was formed by the respondents.

Research target: Social and Economic Geography (including Urban and Transportation Studies) Effective Natural Resource Management
Language: English
DOI
Keywords: decision-makingurban developmentstakeholdersecosystem servicesblue-green infrastructure (BGI)
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Added: April 20, 2026
The partitioning of mobile fractions of chemical elements in the mineral loamy soils during natural regeneration after plowing in Western Russia
Enchilik P. R., G.V.Klink, Semenkov I. N., Science of the Total Environment 2025 Vol. 998 Article 180219
Natural regeneration of forest soils affected by agricultural practices is a common phenomenon in many regions worldwide, particularly in boreal ecosystems. Affecting soil quality, the partitioning of extractable fractions of heavy metals and metalloids (HMMs) is not studied during natural regeneration. The following stages of natural regeneration after plowing have been identified in the Smolenskoye ...
Added: April 19, 2026
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