Multi-scale governance and data for sustainable development

Future societal systems will be characterized by heterogeneous human behaviors and data-driven collective action. Complexity will arise as a consequence of the 5th Industrial Revolution and 2nd Data Revolution possible, thanks to a new generation of digital systems and the Metaverse. These technolog...

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Main Authors: David Pastor-Escuredo, Andrea Gardeazabal, Jawoo Koo, Asuka Imai, Philip Treleaven
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Big Data
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2022.1025256/full
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author David Pastor-Escuredo
David Pastor-Escuredo
Andrea Gardeazabal
Jawoo Koo
Asuka Imai
Philip Treleaven
author_facet David Pastor-Escuredo
David Pastor-Escuredo
Andrea Gardeazabal
Jawoo Koo
Asuka Imai
Philip Treleaven
author_sort David Pastor-Escuredo
collection DOAJ
description Future societal systems will be characterized by heterogeneous human behaviors and data-driven collective action. Complexity will arise as a consequence of the 5th Industrial Revolution and 2nd Data Revolution possible, thanks to a new generation of digital systems and the Metaverse. These technologies will enable new computational methods to tackle inequality while preserving individual rights and self-development. In this context, we do not only need data innovation and computational science, but also new forms of digital policy and governance. The emerging fragility or robustness of the system will depend on how complexity and governance are developed. Through data, humanity has been able to study a number of multi-scale systems from biological to migratory. Multi-scale governance is the new paradigm that feeds the Data Revolution in a world that would be highly digitalized. In the social dimension, we will encounter meta-populations sharing economy and human values. In the temporal dimension, we still need to make all real-time response, evaluation, and mitigation systems a standard integrated system into policy and governance to build up a resilient digital society. Top-down governance is not sufficient to manage all the complexities and exploit all the data available. Coordinating top-down agencies with bottom-up digital platforms will be the design principle. Digital platforms have to be built on top of data innovation and implement Artificial Intelligence (AI)-driven systems to connect, compute, collaborate, and curate data to implement data-driven policy for sustainable development based on Collective Intelligence.
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spelling doaj.art-65277a5f60f04e6b855a2e879edc7ad62022-12-22T04:16:23ZengFrontiers Media S.A.Frontiers in Big Data2624-909X2022-12-01510.3389/fdata.2022.10252561025256Multi-scale governance and data for sustainable developmentDavid Pastor-Escuredo0David Pastor-Escuredo1Andrea Gardeazabal2Jawoo Koo3Asuka Imai4Philip Treleaven5Computer Science Department, University College London, London, United KingdomLifeD Lab, Madrid, SpainInternational Maize and Wheat Improvement Center (CIMMYT), Texcoco, MexicoInternational Food Policy Research Institute, Washington, DC, United StatesUnited Nations High Commissioner for Refugees, Geneva, SwitzerlandComputer Science Department, University College London, London, United KingdomFuture societal systems will be characterized by heterogeneous human behaviors and data-driven collective action. Complexity will arise as a consequence of the 5th Industrial Revolution and 2nd Data Revolution possible, thanks to a new generation of digital systems and the Metaverse. These technologies will enable new computational methods to tackle inequality while preserving individual rights and self-development. In this context, we do not only need data innovation and computational science, but also new forms of digital policy and governance. The emerging fragility or robustness of the system will depend on how complexity and governance are developed. Through data, humanity has been able to study a number of multi-scale systems from biological to migratory. Multi-scale governance is the new paradigm that feeds the Data Revolution in a world that would be highly digitalized. In the social dimension, we will encounter meta-populations sharing economy and human values. In the temporal dimension, we still need to make all real-time response, evaluation, and mitigation systems a standard integrated system into policy and governance to build up a resilient digital society. Top-down governance is not sufficient to manage all the complexities and exploit all the data available. Coordinating top-down agencies with bottom-up digital platforms will be the design principle. Digital platforms have to be built on top of data innovation and implement Artificial Intelligence (AI)-driven systems to connect, compute, collaborate, and curate data to implement data-driven policy for sustainable development based on Collective Intelligence.https://www.frontiersin.org/articles/10.3389/fdata.2022.1025256/fullnetworksmulti-scale systemsArtificial IntelligenceresiliencegovernanceCollective Intelligence
spellingShingle David Pastor-Escuredo
David Pastor-Escuredo
Andrea Gardeazabal
Jawoo Koo
Asuka Imai
Philip Treleaven
Multi-scale governance and data for sustainable development
Frontiers in Big Data
networks
multi-scale systems
Artificial Intelligence
resilience
governance
Collective Intelligence
title Multi-scale governance and data for sustainable development
title_full Multi-scale governance and data for sustainable development
title_fullStr Multi-scale governance and data for sustainable development
title_full_unstemmed Multi-scale governance and data for sustainable development
title_short Multi-scale governance and data for sustainable development
title_sort multi scale governance and data for sustainable development
topic networks
multi-scale systems
Artificial Intelligence
resilience
governance
Collective Intelligence
url https://www.frontiersin.org/articles/10.3389/fdata.2022.1025256/full
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