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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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?

Co-value creation within the business model for smart grids: case of Russian Autonomous Energy Complex

P. 864–872.
Volkova I., Burda Y., Gavrikova E.

The trend on electricity grids digitalization is gradually leading to the shift of busi-ness value towards more sustainable and efficient electricity services. Sustainability and efficiency are challenged by the increasing demand for electricity which is fol-lowed by a dramatic transformation of energy systems. While smart grids seem to be crucial in this process, there is a discrepancy in understanding the costs and benefits for the multiple actors involved. In addition, there are benefits of smart grids that cannot be measured directly in terms of money, such as higher energy system reliabil-ity or commitment to carbon reduction. Despite the rise of interest to the managerial aspects of smart grids implementation and development, many aspects remain out of the scope. This paper contributes to the research of smart grids by providing a con-ceptualized business model that would allow for value co-creation, delivery and cap-ture. A Russian energy sector perspective is primarily considered throughout the pa-per and the results are supported by evidence from interviews with of industrial ex-perts

Language: English
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Keywords: smart gridvalue co-creationbusiness modelautonomous energy complex

In book

Engineering assets and Public infrastructures in the Age of Digitalization
Springer, 2020.
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