Overview
- Contains new theoretical and applied results and surveys in the area of resilience of digitized STSs
- Explains how robotics can enhance pre-emptive measures to increase resilience
- Contributions by well-known experts in the field
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12660)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
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Table of contents (10 chapters)
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Front Matter
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Resilience of SocioTechnological Systems
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Front Matter
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Back Matter
Keywords
- artificial intelligence
- big data
- computer hardware
- computer networks
- computer systems
- databases
- disaster response
- FAIR data
- network protocols
- resilience
- sensors
- sociotechnological system
- software design
- software engineering
- sustainability
- systems analysis
- telecommunication networks
- telecommunication systems
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Resilience in the Digital Age
Editors: Fred S. Roberts, Igor A. Sheremet
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-70370-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-70369-1Published: 20 February 2021
eBook ISBN: 978-3-030-70370-7Published: 19 February 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 199
Number of Illustrations: 8 b/w illustrations, 35 illustrations in colour
Topics: Computer Applications, Computer Systems Organization and Communication Networks, Software Engineering/Programming and Operating Systems, Computing Milieux