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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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Гендер как дискриминирующий признак профессиональной успешности российских фрилансеров-разработчиков

Мониторинг общественного мнения: Экономические и социальные перемены. 2020. № 5. С. 490–516.
Vilkova O.

Despite the presence of gender studies on discrimination at online job exchange platforms, in IT-sector, the comprehensive analysis of women’s oppression in IT on Russian freelance e-markets has not been conducted. The work is an attempt to fill the gap using Kohn's sociological approach to studying preconceptions, when it is not a prejudice bearer who has been analyzed, but environment in which preconceptions might exist – a freelance marketplace in the case of this study. Based on the data of one of the online freelance job exchange platforms, which was extracted by web-scraping, the study proves the occurrence of gender discrimination among IT specialists on Russian online labor marketplaces. Despite the dynamic development of IT and practices of remote work, women developers, as compared with men, receive lower remuneration, worse grades and lower ratings for similar projects. Low rating, remuneration, fewer projects and reviews pessimize the position of women in the organic search engine results page of the portal. The discriminatory behavior of clients worsens the position of women on the platform and reduces the chances of finding the next project – by focusing on the top of the SERP, the customer is less likely to see a woman as a contractor. To solve the problem, women buy points to promote their profiles, replace their names with the names of their husbands / partners by forming a fictitious gender, while completing the order, they often spend time on client’s training which was not specified in task requirements, overfulfill the plan to their detriment, lower prices.

Priority areas: sociology
Language: Russian
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Keywords: платформенная экономикаPlatform Economygender discrimination among developersfemale freelancersfemale developersgender discrimination in online labor marketгендерная дискриминация среди разработчиковгендерная дискриминация на онлайн-биржах трудаженщины-фрилансерыженщины-разработчики
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