Ducrée, Jens, Etzrodt, Martin, Gordijn, Bert, Gravitt, Max, Bartling, Sönke, Walshe, Ray and Harrington, Tomás ORCID: https://orcid.org/0000-0003-3351-3331
(2020)
Blockchain for organising effective grass-roots actions on a global commons: Saving The Planet.
Frontiers in Blockchain, 3.
ISSN 2624-7852
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Abstract
An overwhelming majority of experts has been flagging for decades that “Saving the Planet” requires immediate, persistent and drastic action to curb a variety of catastrophic risks over the 21st century. However, despite compelling evidence and a range of suggested solutions, transnational coordination of effective measures to protect our biosphere continues to fall short. To remedy, we propose a novel platform for addressing the central issue of affording trust, transparency and truth while minimizing administrative overheads. This will empower an even loosely organized, global grass-roots community to coordinate a large-scale project on a shared goal (“Commons”) spanning the digital and real world. The Web3 concept is based on the swiftly emerging “Blockchain” and related cryptographic, distributed and permissionless technologies. “Wisdom of the crowds” mechanisms involving competitive parallelization and prediction markets are enabled by formalized reputation and staking to incentivize high-quality work, fair validation and best management practice. While these mechanisms have been (mostly separately) applied to science, business, governance, web, sensor, information and communication technologies (ICT), our integrative approach around Blockchain-enabled ‘operating principles and protocols’ sets the basis for designing novel forms of potentially crowdfunded Decentralized Autonomous Organizations (DAOs).
Item Type: | Article |
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Uncontrolled Keywords: | competitive parallelisation,decentralised autonomous organisation (dao),prediction markets,reputation,staking,trust,truth finding,wisdom of the crowds,computer science (miscellaneous),computer networks and communications,computer science applications,economics, econometrics and finance (miscellaneous) ,/dk/atira/pure/subjectarea/asjc/1700/1701 |
Faculty \ School: | Faculty of Social Sciences > Norwich Business School |
UEA Research Groups: | Faculty of Social Sciences > Research Groups > Innovation, Technology and Operations Management |
Related URLs: | |
Depositing User: | LivePure Connector |
Date Deposited: | 07 Jul 2020 00:01 |
Last Modified: | 13 Dec 2023 01:50 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/75923 |
DOI: | 10.3389/fbloc.2020.00033 |
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