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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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?

Possible Ways of Applying Citations Network Analysis to a Scientific Writing Assistant

P. 119–126.
Porshnev A., Kazakov M.

Development of linguistic technologies gave rise to a new type of tools for academic writing, which use natural language processing and heuristics to help authors write scientific papers. In our contribution we present a new function “advise a paper to read” and the way it could be implemented. We discuss a possibility of using different centrality metrics and test their application in 50 cases created from 50 top cited articles of the Engineering domain. For each case we created a citation network graph based on the results of a search query in the Web of Knowledge by Thomson Reuters, using adjusted authors key phrases, and compared the results of applying the centrality metrics with the actual reference list presented in each article.

Language: English
DOI
Text on another site
Keywords: citation networkcentrality metricssearch querybetweenness centralityCloseness Centrality

In book

Springer Proceedings in Mathematics and Statistics. Volume 104 Models, Algorithms and Technologies for Network Analysis
Dordrecht, L., Cham, Heidelberg, NY: Springer, 2014.
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