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020			_a9783030703707
024	7		_a10.1007/978-3-030-70370-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.A43 _b2021 EB
245	0	0	_aResilience in the Digital Age _cedited by Fred S Roberts, Igor A Sheremet
250			_aFirst edition 2021
264		1	_aCham, Switzerland _bSpringer International Publising _c2021
300			_a1 recurso en línea (XII, 199 páginas) _b43 ilustraciones, 35 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aInformation Systems and Applications incl. Internet/Web and HCI ; _v12660
505	0		_aResilience 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	3		_aThe 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.
988			_aSpringer_Computer_2021
650		7	_2embne _9151819 _aAlgoritmos computacionales
650		7	_2embne _9495511 _aDatos masivos
650		7	_2embne _aRedes informáticas _9141354
700	1		_aRoberts, Fred S _eeditor literario _0(orcid)0000-0001-8421-4759 _1https://orcid.org/0000-0001-8421-4759 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSheremet, Igor A _eeditor literario _0(orcid)0000-0002-9225-1688 _1https://orcid.org/0000-0002-9225-1688 _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink
776	0	8	_iPrinted edition: _z9783030703691
776	0	8	_iPrinted edition: _z9783030703714
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-70370-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b07/2021 _dz _eIG _zSI