New Search

Export article
Open Access

Unchaining Collective Intelligence for Science, Research, and Technology Development by Blockchain-Boosted Community Participation

, Martin Etzrodt, Sönke Bartling, Ray Walshe, Tomás Harrington, Neslihan Wittek, Sebastian Posth, Kevin Wittek, Andrei Ionita, Wolfgang Prinz,
Show More
Published: 7 May 2021
Frontiers in Blockchain , Volume 4; doi:10.3389/fbloc.2021.631648

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 study aper 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 by 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 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 decentralized autonomous organization (DAOs).
Keywords: Blockchain / collective intelligence / Researc / Cryptoeconomics / Science - general / consensus / Participatory Research / Decentralisation / Distributed ledger / wisdom of the crowd / Liquid democracy / Reputation systems / Token Economy

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

Share this article

Click here to see the statistics on "Frontiers in Blockchain" .
References (44)
    Back to Top Top