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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.
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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Sustainable Water Management in Megacities of the Future

Ch. 12. P. 201–219.
Milshina Y., Pavlova D.

Megacities are the main consumers of water supplies and their population is projected to increase significantly in the future. The rise in demand for water resources (for both industrial and private consumption) is expected to be addressed by the establishment of the sustainable water management system in these cities according to the UN’s Sustainable Development Goals (#4 Water and sanitation, #11 Sustainable cities and communities). The goal of this paper, therefore, is to uncover global trends in urban water management, especially in sustainable water management of megacities. To achieve this goal, we examined the academic literature on such topics as urban water management in general and sustainable water management in particular,  and conducted intellectual big data analysis on the global water resources issues by means of the specialized tool for text mining – iFORA. As a result, we illustrated the changing agendas in global water management, provided the semantic map and clusters of topics in this field, represented clusters streamgraph and their life cycle chart as well as structural dynamics for 2010-2019 years. The findings of the study can contribute to the development of sustainable water management strategies in the most fast-growing cities (or ‘megacities of the future’).

Language: English
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Keywords: urbanizationsustainabilitywater management
Publication based on the results of:
The impact of science, technology, and innovation on structural transformation (2020)

In book

Urban Ecology: Emerging Patterns and Social-Ecological Systems
Elsevier, 2020.
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