V.I. Budzko1, V.I. Medennikov2

1 National Research Nuclear University MEPhI (Moscow, Russia)
1,2 Federal Research Center «Computer Science and Control» of the Russian Academy of Sciences (Moscow, Russia)
 

At present, there has been a dangerous tendency to determine the basic concepts and terms of the digital economy, due to the attractiveness of their use by the business community in order to attract potential users to the products being created due to the huge attention around the world to the digital economy. Among the concepts and terms, one of the most popular is the digital ecosystem. Such a determinologization of concepts causes great harm to the consistency and efficiency of the implementation of the digital economy, disorienting both program executors and scientists when applying in practice one of the main general principles of the digitalization of society – the creation of an information management system based on the integration of disparate data into a single structured cloud environment. The scientific community in this situation has taken a passive position, and sometimes repeats the rhetoric of the business community, partly due to the removal of the Russian Academy of Sciences from its implementation, partly due to the leaching of IT people from research institutes and universities into business due to underfunding of science. As never before in this situation, the saying of Confucius is relevant: "If things are called incorrectly, then words will lose their power." Therefore, there is a need to analyze from a systemic point of view the place of ecosystems in the ongoing general digitalization, to make an attempt to give a scientific classification of digital ecosystems, using the example of the most underdetermined educational ecosystem in the literature, to try to formalize the process of its formation using mathematical modeling, for which to monitor agricultural universities, since the need for the agricultural ecosystem is growing sharply, and the industry, in turn, is one of the most striking ecosystems that satisfies the classical definition of them, since at present the agro-industrial complex is subject to increased requirements both for product quality and for minimizing the negative impact of natural and anthropogenic environmental factors. hazards to the environment and to humans.

Budzko V.I., Medennikov V.I. System analysis of educational digital ecosystems in the agro-industrial complex. Highly Available Systems. 2023. V. 19. № 1. P. 46−58. DOI: https://doi.org/ 10.18127/j20729472-202301-04 (in Russian)

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