Proceedings of the International Scientific Conference "Far East Con" (ISCFEC 2020)

Application of the Decision Support System “DATA” for Regional Management

Authors
E E Averchenkova, E A Dergacheva
Corresponding Author
E E Averchenkova
Available Online 17 March 2020.
DOI
https://doi.org/10.2991/aebmr.k.200312.466How to use a DOI?
Abstract
The Russian Federation was faced with a conscious need to make a breakthrough in technological development and in the field of information development of society and, in particular, artificial intelligence. It is discussed how effective digital public management will be, as well as the legal aspects and possible international and social consequences of the introduction of digital technologies in the daily practice of public management [1-5]. Among the priority areas of state support for the development of digital economy in our country, we can highlight the use of new (digital) technologies by the public authorities of the Russian Federation aimed at improving the quality of public management The article discusses the possibility of using the “ decision support system “DATA“ for the purposes of regional management. We specify the study area as the formation of the main framework to apply the tools of a typical automated workplace of civil servants to assess the environment impact on the regional socio-economic system in the framework of the National project “Digital economy”.
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Proceedings
International Scientific Conference "Far East Con" (ISCFEC 2020)
Part of series
Advances in Economics, Business and Management Research
Publication Date
17 March 2020
ISBN
978-94-6252-929-8
ISSN
2352-5428
DOI
https://doi.org/10.2991/aebmr.k.200312.466How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - E E Averchenkova
AU  - E A Dergacheva
PY  - 2020
DA  - 2020/03/17
TI  - Application of the Decision Support System “DATA” for Regional Management
BT  - International Scientific Conference "Far East Con" (ISCFEC 2020)
PB  - Atlantis Press
SP  - 3230
EP  - 3234
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200312.466
DO  - https://doi.org/10.2991/aebmr.k.200312.466
ID  - Averchenkova2020
ER  -