國立虎尾科技大學 |

Resilience in the Digital Age

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Resilience in the Digital Age/ edited by Fred S. Roberts, Igor A. Sheremet.
other author:	Roberts, Fred S.
Description:	XII, 199 p. 43 illus., 35 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Application software. -
Online resource:	https://doi.org/10.1007/978-3-030-70370-7
ISBN:	9783030703707

Resilience in the Digital Age
Resilience in the Digital Age[electronic resource] /edited by Fred S. Roberts, Igor A. Sheremet. - 1st ed. 2021. - XII, 199 p. 43 illus., 35 illus. in color.online resource. - Information Systems and Applications, incl. Internet/Web, and HCI ;12660. - Information Systems and Applications, incl. Internet/Web, and HCI ;9149.

Resilience of SocioTechnological Systems -- Resilience Algorithms in Complex Networks -- Application of the Multigrammatical Framework to the Assessment of Sustainability and Recoverability of Large – Scale Industrial Systems -- Vulnerability Assessment of Digitized Socio-Technological Systems via Entropy Two-stage Nonsmooth Stochastic Optimization And Iterative Stochastic Quasigradient Procedure for Robust Estimation, Machine Learning and Decision Making -- Robotic Deployments for Disaster Response -- Data Science and Resilience -- Big Data and FAIR Data for Data Science -- Data Science and Resilience -- Building Resilience into Metadata-based ETL Process Using Open Source Big Data Technologies -- Applications -- Democratizing Human-Building Simulation and Analytics -- The Adequacy of Artificial Intelligence Tools to Combat Misinformation.

The growth of a global digital economy has enabled rapid communication, instantaneous movement of funds, and availability of vast amounts of information. With this come challenges such as the vulnerability of digitalized sociotechnological systems (STSs) to destructive events (earthquakes, disease events, terrorist attacks). Similar issues arise for disruptions to complex linked natural and social systems (from changing climates, evolving urban environments, etc.). This book explores new approaches to the resilience of sociotechnological and natural-social systems in a digital world of big data, extraordinary computing capacity, and rapidly developing methods of Artificial Intelligence. Most of the book’s papers were presented at the Workshop on Big Data and Systems Analysis held at the International Institute for Applied Systems Analysis in Laxenburg, Austria in February, 2020. Their authors are associated with the Task Group “Advanced mathematical tools for data-driven applied systems analysis” created and sponsored by CODATA in November, 2018. The world-wide COVID-19 pandemic illustrates the vulnerability of our healthcare systems, supply chains, and social infrastructure, and confronts our notions of what makes a system resilient. We have found that use of AI tools can lead to problems when unexpected events occur. On the other hand, the vast amounts of data available from sensors, satellite images, social media, etc. can also be used to make modern systems more resilient. Papers in the book explore disruptions of complex networks and algorithms that minimize departure from a previous state after a disruption; introduce a multigrammatical framework for the technological and resource bases of today’s large-scale industrial systems and the transformations resulting from disruptive events; and explain how robotics can enhance pre-emptive measures or post-disaster responses to increase resiliency. Other papers explore current directions in data processing and handling and principles of FAIRness in data; how the availability of large amounts of data can aid in the development of resilient STSs and challenges to overcome in doing so. The book also addresses interactions between humans and built environments, focusing on how AI can inform today’s smart and connected buildings and make them resilient, and how AI tools can increase resilience to misinformation and its dissemination.

ISBN: 9783030703707

Standard No.: 10.1007/978-3-030-70370-7doiSubjects--Topical Terms:

528147
Application software.

LC Class. No.: QA76.76.A65

Dewey Class. No.: 004

Resilience in the Digital Age
LDR:04694nam a22004095i 4500 001 1053568
003 DE-He213
005 20210826152120.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030703707 $9 978-3-030-70370-7
024 7 $a 10.1007/978-3-030-70370-7 $2 doi
035 $a 978-3-030-70370-7
050 4 $a QA76.76.A65
072 7 $a UB $2 bicssc
072 7 $a COM018000 $2 bisacsh
072 7 $a UB $2 thema
082 0 4 $a 004 $2 23
245 1 0 $a Resilience in the Digital Age $h [electronic resource] / $c edited by Fred S. Roberts, Igor A. Sheremet.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XII, 199 p. 43 illus., 35 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Information Systems and Applications, incl. Internet/Web, and HCI ; $v 12660
505 0 $a Resilience of SocioTechnological Systems -- Resilience Algorithms in Complex Networks -- Application of the Multigrammatical Framework to the Assessment of Sustainability and Recoverability of Large – Scale Industrial Systems -- Vulnerability Assessment of Digitized Socio-Technological Systems via Entropy Two-stage Nonsmooth Stochastic Optimization And Iterative Stochastic Quasigradient Procedure for Robust Estimation, Machine Learning and Decision Making -- Robotic Deployments for Disaster Response -- Data Science and Resilience -- Big Data and FAIR Data for Data Science -- Data Science and Resilience -- Building Resilience into Metadata-based ETL Process Using Open Source Big Data Technologies -- Applications -- Democratizing Human-Building Simulation and Analytics -- The Adequacy of Artificial Intelligence Tools to Combat Misinformation.
520 $a The growth of a global digital economy has enabled rapid communication, instantaneous movement of funds, and availability of vast amounts of information. With this come challenges such as the vulnerability of digitalized sociotechnological systems (STSs) to destructive events (earthquakes, disease events, terrorist attacks). Similar issues arise for disruptions to complex linked natural and social systems (from changing climates, evolving urban environments, etc.). This book explores new approaches to the resilience of sociotechnological and natural-social systems in a digital world of big data, extraordinary computing capacity, and rapidly developing methods of Artificial Intelligence. Most of the book’s papers were presented at the Workshop on Big Data and Systems Analysis held at the International Institute for Applied Systems Analysis in Laxenburg, Austria in February, 2020. Their authors are associated with the Task Group “Advanced mathematical tools for data-driven applied systems analysis” created and sponsored by CODATA in November, 2018. The world-wide COVID-19 pandemic illustrates the vulnerability of our healthcare systems, supply chains, and social infrastructure, and confronts our notions of what makes a system resilient. We have found that use of AI tools can lead to problems when unexpected events occur. On the other hand, the vast amounts of data available from sensors, satellite images, social media, etc. can also be used to make modern systems more resilient. Papers in the book explore disruptions of complex networks and algorithms that minimize departure from a previous state after a disruption; introduce a multigrammatical framework for the technological and resource bases of today’s large-scale industrial systems and the transformations resulting from disruptive events; and explain how robotics can enhance pre-emptive measures or post-disaster responses to increase resiliency. Other papers explore current directions in data processing and handling and principles of FAIRness in data; how the availability of large amounts of data can aid in the development of resilient STSs and challenges to overcome in doing so. The book also addresses interactions between humans and built environments, focusing on how AI can inform today’s smart and connected buildings and make them resilient, and how AI tools can increase resilience to misinformation and its dissemination.
650 0 $a Application software. $3 528147
650 0 $a Computer organization. $3 596298
650 0 $a Software engineering. $3 562952
650 0 $a Computers. $3 565115
650 1 4 $a Computer Applications. $3 669785
650 2 4 $a Computer Systems Organization and Communication Networks. $3 669309
650 2 4 $a Software Engineering/Programming and Operating Systems. $3 669780
650 2 4 $a Computing Milieux. $3 669921
700 1 $a Roberts, Fred S. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 527770
700 1 $a Sheremet, Igor A. $e editor. $1 https://orcid.org/0000-0002-9225-1688 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1358468
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030703691
776 0 8 $i Printed edition: $z 9783030703714
830 0 $a Information Systems and Applications, incl. Internet/Web, and HCI ; $v 9149 $3 1253558
856 4 0 $u https://doi.org/10.1007/978-3-030-70370-7
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)