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  • Платформы, онлайн–рынки труда и краудсорсинг. Часть 2. Краудсорсинг
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August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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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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