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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Autores principales: Pastor Escuredo, David, Gardeazábal Monsalve, Andrea, Koo, Jawoo, Imai, Asuka, Treleaven, Philip
Formato: Journal Article
Lenguaje:Inglés
Publicado: Frontiers Media 2022
Materias:
Acceso en línea:https://hdl.handle.net/10568/125790
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author Pastor Escuredo, David
Gardeazábal Monsalve, Andrea
Koo, Jawoo
Imai, Asuka
Treleaven, Philip
author_browse Gardeazábal Monsalve, Andrea
Imai, Asuka
Koo, Jawoo
Pastor Escuredo, David
Treleaven, Philip
author_facet Pastor Escuredo, David
Gardeazábal Monsalve, Andrea
Koo, Jawoo
Imai, Asuka
Treleaven, Philip
author_sort Pastor Escuredo, David
collection Repository of Agricultural Research Outputs (CGSpace)
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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publishDate 2022
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spelling CGSpace1257902025-12-08T10:29:22Z Multi-scale governance and data for sustainable development Pastor Escuredo, David Gardeazábal Monsalve, Andrea Koo, Jawoo Imai, Asuka Treleaven, Philip data systems digital technology inequality rights development governance artificial intelligence networks resilience sustainable development behaviour information systems computational methods data management digital policy industrial revolution federated learning 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. 2022-12-01 2022-12-06T08:58:45Z 2022-12-06T08:58:45Z Journal Article https://hdl.handle.net/10568/125790 en Open Access Frontiers Media Pastor-Escuredo, David; Gardeazabal, Andrea; Koo, Jawoo; Imai, Asuka; and Treleaven, Philip. 2022. Multi-scale governance and data for sustainable development. Frontiers in Big Data 5: 1025256. https://doi.org/10.3389/fdata.2022.1025256
spellingShingle data
systems
digital technology
inequality
rights
development
governance
artificial intelligence
networks
resilience
sustainable development
behaviour
information systems
computational methods
data management
digital policy
industrial revolution
federated learning
Pastor Escuredo, David
Gardeazábal Monsalve, Andrea
Koo, Jawoo
Imai, Asuka
Treleaven, Philip
Multi-scale governance and data for sustainable development
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 data
systems
digital technology
inequality
rights
development
governance
artificial intelligence
networks
resilience
sustainable development
behaviour
information systems
computational methods
data management
digital policy
industrial revolution
federated learning
url https://hdl.handle.net/10568/125790
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