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News
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.
July 24, 2026
‘I Like Self-Fulfilling Prophecies
Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.

 

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?

Developing and Running a Set of Competitive College/University Blended Courses

Ch. 2. P. 23–45.
Alexander S. Belenky

A mathematical model underlying a decision support tool letting a college/university administration (a) find a financially optimal composition of teachers to design and run blended courses for its students using fragments of recorded lectures of distinguished professors from world-leading universities, and (b) be competitive in the education market of potential students by offering such designed blended courses, along with corresponding explanations and tutorials, in a new learning environment at affordable tuition fees, is proposed. This model, reflecting the college/university expenses associated with running each such blended course, lets its administration calculate (a) the maximal percentage of the students expected to succeed in studying each course from a set of these courses under a fixed budget, and (b) the minimal budget to secure desirable percentages of the students expected to succeed in studying particular blended courses from this set. The calculation can be done by formulating two Boolean programming problems on the basis of the proposed model and solving them using standard software packages.

Language: English
DOI
Text on another site
Keywords: mathematical modelsblended learningInteger programming problemsPercentages of the students expected to succeedStrategies of designing and running Blended courses - university competitiveness in the market of potential students
Publication based on the results of:
Analysis of models of multi-criteria, social, optimization and structural choice of solutions (2023)

In book

Data Analysis and Optimization. In honor of Boris Mirkin’s 80th birthday
Cham: Springer, 2023.
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