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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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Instrumental variables analysis of COVID-19 vaccination in Moscow

Applied Economics. 2025.
Ivan Gordeev

This article examines the effect of COVID-19 vaccination on the disease dynamics in Moscow using an instrumental variables (IV) approach. Based on weekly data on cases, deaths, and mobility, I compare ordinary least squares (OLS) results with two-stage least squares (TSLS) estimates, addressing endogeneity in vaccination and behavior. The TSLS estimates imply that the effect on new cases is about ten times larger than suggested by OLS, indicating a substantial downward bias in naïve models. Moreover, the two doses of Sputnik V have distinct effects: the first mainly lowers infection risk, while the second notably reduces mortality among infected individuals. These findings underscore the importance of high vaccination coverage, clear public communication, and integration of behavioral dynamics as critical elements of public health policy in large urban settings.

Research target: Economics and Management Health Studies
Language: English
Full text
DOI
Keywords: Moscowinstrumental variablesTwo-Stage Least SquaresCOVID-19 vaccinationbehavioral response
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