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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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Риски онлайн-поиска информации о здоровье: адаптация шкалы OHISS на российской выборке

Клиническая и специальная психология. 2024. Т. 13. № 4. С. 181–193.
Maksimenko A., Zolotareva A.

The development of the Internet, along with the improvement of patients' digital skills, makes them competent in some matters of medical care. The purpose of this study was to describe the portrait of a typical Russian user searching for information on the Internet about his health, as well as the adaptation of the "Online Health Information Search Scale" methodology on a Russian-speaking sample with the establishment of relationships with such cyber phenomena as mind scrolling and cyberchondria. In an all-Russian online survey conducted using the service Toloka.AI , 1,025 people took part (M = 37.9). The toolkit included the following questionnaires: The Online Health Information Seeking Scale (OHISS), which evaluates the frequency of Internet use in order to search for medical information [Zhu et al., 2023]; the Doomscrolling Scale (DS) [Sharma et al., 2022; Maksimenko et al., 2022]; the Cyberchondria Scale [Barke et al., 2016; Deyneka et al., 2023], as well as the Bergen Social Media Addiction Scale (BSMAS) [Andreassen et al., 2012; Shubin, 2020]. The data analysis was carried out in the Jamovi 2.3.21 program. OHISS indicators were statistically significantly positively correlated with indicators of doomscrolling, cyberchondria and dependence on social networks. The online search for health information was not related to the age of the respondents, their income level and education level. Women, respondents who are married and separated, and respondents who consider themselves to be quite religious were exposed to more frequent online searches for health information. Empirical data obtained using the Online Health Information Search Scale allow us to consider the adapted scale as a psychometrically sound diagnostic tool and recommend it for solving practical and research tasks.

Research target: Psychology Clinical Medicine
Language: Russian
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Keywords: medical informationмедицинская информацияответственное самолечениеcyberchondriaкиберхондрияdoomscrollingдумскроллингinformed patientинформированный пациентresponsible self-medicationOnline Health Information Search Scale (OHISS)Шкала онлайн поиска информации о здоровье (OHISS)
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