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Ducrée, Jens, Etzrodt, Martin, Bartling, Sönke, Walshe, Ray, Harrington, Tomás 
ORCID: https://orcid.org/0000-0003-3351-3331, Wittek, Neslihan, Posth, Sebastian, Wittek, Kevin, Ionita, Andrei, Prinz, Wolfgang, Kogias, Dimitrios, Paixão, Tiago, Peterfi, Iosif and Lawton, James
(2021)
Unchaining collective intelligence for science, research and technology development by blockchain-boosted community participation.
Frontiers in Blockchain, 4.
ISSN 2624-7852
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Abstract
Since its launch just over a decade ago by the cryptocurrency Bitcoin, the distributed ledger technology (DLT) blockchain has followed a breathtaking trajectory into manifold application spaces. This paper analyses how key factors underpinning the success of this ground-breaking “internet of value” technology, such as staking of collateral (“skin in the game”), competitive crowdsourcing, crowdfunding, and prediction markets, can be applied to substantially innovate the legacy organization of science, research and technology development (RTD). Here, we elaborate a highly integrative, community-based strategy where a token-based crypto-economy supports finding best possible consensus, trust and truth through adding unconventional elements known from reputation systems, betting, secondary markets and social networking. These tokens support the holder’s formalized reputation, and are used in liquid-democracy style governance and arbitration within projects or community-driven initiatives. This participatory research model serves as a solid basis for comprehensively leveraging collective intelligence by effectively incentivizing contributions from the crowd, such as intellectual property (IP), work, validation, assessment, infrastructure, education, assessment, governance, publication, and promotion of projects. On the analogy of its current blockbusters like peer-to-peer structured decentralized finance (“DeFi”), blockchain technology can seminally enhance the efficiency of science and RTD initiatives, even permitting to fully stage operations as a chiefless Decentralised Autonomous Organization (DAOs).
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | collective intelligence,consensus,cryptoeconomy,liquid democracy,participatory research,reputation systems,token economy,wisdom of the crowd,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: | 02 Feb 2021 01:02 |
| Last Modified: | 13 Dec 2023 01:51 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/79126 |
| DOI: | 10.3389/fbloc.2021.631648 |
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