Pastor-Escuredo David, Gardeazabal Andrea, Koo Jawoo, Imai Asuka, Treleaven Philip
Computer Science Department, University College London, London, United Kingdom.
LifeD Lab, Madrid, Spain.
Front Big Data. 2022 Dec 1;5:1025256. doi: 10.3389/fdata.2022.1025256. eCollection 2022.
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.
未来的社会系统将以人类行为的异质性和数据驱动的集体行动为特征。由于新一代数字系统和元宇宙，第五次工业革命和第二次数据革命可能会引发复杂性。这些技术将使新的计算方法能够在保护个人权利和自我发展的同时解决不平等问题。在这种背景下，我们不仅需要数据创新和计算科学，还需要新形式的数字政策和治理。系统新出现的脆弱性或稳健性将取决于复杂性和治理如何发展。通过数据，人类能够研究从生物到迁徙的许多多尺度系统。多尺度治理是在一个高度数字化的世界中推动数据革命的新范式。在社会层面，我们将遇到元群体共享经济和人类价值观。在时间维度上，我们仍需将所有实时响应、评估和缓解系统纳入政策和治理的标准集成系统，以构建一个有韧性的数字社会。自上而下的治理不足以管理所有的复杂性并利用所有可用数据。将自上而下的机构与自下而上的数字平台协调起来将是设计原则。数字平台必须建立在数据创新之上，并实施人工智能驱动的系统，以连接、计算、协作和管理数据，从而基于集体智慧实施数据驱动的可持续发展政策。
