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Electronic Governance and Open Society: Challenges in Eurasia : 7th International Conference, EGOSE 2020, St. Petersburg, Russia, November 18-19, 2020, Proceedings / edited by Andrei Chugunov, Igor Khodachek, Yuri Misnikov, Dmitrii Trutnev.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Chugunov, Andrei., Editor.
Khodachek, Igor, Editor.
Misnikov, Yuri, Editor.
Trutnev, Dmitrii, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Communications in computer and information science 1865-0937 ; 1349
Communications in Computer and Information Science, 1865-0937 ; 1349
Language:
English
Subjects (All):
Computer engineering.
Computer networks.
Application software.
Artificial intelligence.
Coding theory.
Information theory.
Computer Engineering and Networks.
Computer and Information Systems Applications.
Artificial Intelligence.
Coding and Information Theory.
Local Subjects:
Computer Engineering and Networks.
Computer and Information Systems Applications.
Artificial Intelligence.
Coding and Information Theory.
Physical Description:
1 online resource (XVII, 337 pages) : 64 illustrations, 42 illustrations in color.
Edition:
1st ed. 2020.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2020.
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of the 7th Conference on Electronic Governance and Open Society: Challenges in Eurasia, EGOSE 2020, held in St. Petersburg, Russia, in November 2020. The 35 full papers and 5 short papers were carefully reviewed and selected from 59 submissions. The papers are organized in topical sections on digital government: services, policies, laws, practices, surveillance; digital society: openness, participation, trust, competences; digital data: data science, methods, modelling, AI, NLP.
Contents:
Digital government: services, policies, laws, practices, surveillance
Digital society: openness, participation, trust, competences
Digital data: data science, methods, modelling, AI, NLP.
Other Format:
Printed edition:
ISBN:
978-3-030-67238-6
9783030672386
Access Restriction:
Restricted for use by site license.

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