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October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.
October 5, 2026
‘The Climate Transition Is Not Necessarily a Limitation for Business
Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.

 

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Платформы, онлайн–рынки труда и краудсорсинг. Часть 2. Краудсорсинг

Журнал Новой экономической ассоциации. 2023. Т. 61. № 4(61). С. 128–144.
Kazakova E., Sandomirskaia M., Suvorov A., Khazhgerieva A., Шавшин Р. К.

This survey complements the general discussion of online labor platforms
and focuses on crowdsourcing. When a business task is outsourced via a crowdsourcing platform,
it is split into smaller so-called microtasks that are further distributed to a`crowd’ of platform’s
workers. The majority of crowdsourced microtasks are standardized and not time-consuming.
Therefore, any interested worker can supply her labor force in a crowdsourcing platform facing
almost zero entry barriers and special requirements. This specific feature of crowdsourcing
platforms and the workers involved distinguishes this market from other online labor platforms.
In this survey, we compare a crowdsourcing market to online and offline labor markets. In
particular, we provide arguments in favor of considering crowdsourcing as a complement
to the traditional labor marker rather its direct alternative. We give a special emphasis to
crowdsourcing workers, their motivation to enter a platform, and their labor supply. Moreover,
comparing different online labor markets’ structures, we conclude that crowdsourcing is the
closest one to standard two-sided platforms and, therefore, features large-magnitude indirect
network effects. Deeping into the structure of crowdsourcing platforms, we consider peculiar
approaches to matching and pricing in this market, as well as discuss problems in accessing
worker force quality. Overall, crowdsourcing platforms expand the traditional labor market,
whereas one should note that crowdsourcing regulation is heavily linked to policies developed
to regulate analogous two-sided platforms.

Research target: Economics and Management
Language: Russian
Full text
DOI
Text on another site
Keywords: краудсорсингрынки трудаlabor marketонлайн-платформыonline platformscrowdsoursing
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