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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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Баланс в условиях сверхзагруженности: структура и объемы рабочего времени преподавателей медицинских вузов

Кубанский научный медицинский вестник. 2026. Т. 33. № 2. С. 92–110.
Garmonova A., Shcheglova D., Камалова Г. Р., Opfer E., Гаврилов С. В.

Introduction. The study analyzes the structure and volume of workload for faculty at Russian medical universities amidst increasing student numbers, rising demands for students' clinical training, scientific output, and continuous professional education. The relevance of the topic stems from the contradiction between official regulatory requirements and the actual excessive workload of medical educators. The aim is to provide evidence-based illustration of the structure and volume of workload for medical university faculty within the regulatory framework of Russian higher education. Methods. Data from a large-scale questionnaire survey of 346 medical faculty members from three universities of different statuses were used, along with five expert interviews. A faculty typology is proposed: "clinical practitioners" (active patient care), "theorists" (analytical and laboratory work), and "non-clinical specialists and nursing". Data analysis methods included descriptive statistics, correlation analysis, and comparison (faculty from medical vs. non-medical universities). Results. Approximately 60% of faculty combine work at a medical university with clinical practice. The greatest workload is characteristic of "clinical practitioners": they are more involved in teaching at residency and postgraduate levels, lead continuing professional education (CPE) courses and electives, and have more additional jobs outside the university. Medical university faculty demonstrate lower indicators of research activity and academic mobility compared to colleagues from non-medical universities, predominantly publishing methodological works. High scientific performance is mainly demonstrated by top-academic staff (professors, heads of departments). The level of research activity (in terms of article count) is positively correlated with the number of additional external jobs and the number of subjects taught by a faculty member. About 10-15% of clinical faculty combine significant workload with high research performance, expert work, and classroom teaching of more than three subjects. The overload of medical educators may lead to risks of professional burnout and formalization in transmitting practical skills to students. Strategies for minimizing effort in publication activity are also attributed by the authors to the results of work "overload" combined with significant regulatory demands for work outcomes. Conclusion. The workload structure for medical educators is significantly more complex and voluminous than prescribed by official regulations. To reduce workload and increase efficiency, it is proposed to differentiate professional trajectories (methodologist, practitioner, researcher), simplify working conditions for practicing physicians, including through non-material incentives, reduce classroom teaching load, and enhance methodological and organizational support for research activities.

Research target: Education Social Sciences Medical and Health Sciences
Language: Russian
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Keywords: учебная нагрузкавнерабочее времяклиническая практикапрофессиональное выгорание медицинских работниковclinical practiceTeaching loadfactors of professional burnout working hoursmedical university facultyпреподаватели медицинских вузов
Publication based on the results of:
Профессиональные стратегии преподавателей высшей школы в современной России (2025)
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