Research – A blockchain of knowledge?

This perspective proposes that, by virtue of its sophisticated trust and consensus finding mechanisms, blockchain has the clear potential to substantially upgrade the processes and organization traditionally underpinning academic science and commercial technology development comprising funding, proj...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autor principal: Jens Ducrée
Formato: article
Lenguaje:EN
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://doaj.org/article/37240fc28ba44f93823b5186fc2b9e0b
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
Descripción
Sumario:This perspective proposes that, by virtue of its sophisticated trust and consensus finding mechanisms, blockchain has the clear potential to substantially upgrade the processes and organization traditionally underpinning academic science and commercial technology development comprising funding, project delivery, generation of intellectual property, documentation and publication. For supporting this hypothesis, striking analogies between the concepts underlying blockchain technology with research are identified, and applied to the generation of verified knowledge in science and technology development. It is then elaborated how a blockchain-enabled token economy can efficiently and transparently incentivize and coordinate an integrative and community-inclusive participatory approach to fuel crowdsourcing of collective intelligence for contributing ideas, work, infrastructure, funding, data, validation, management, assessment, governance, arbitration and exploitation of projects. Quality, credibility and direction of projects are optimized by demanding collateral “skin-in-the-game” from contributors based on blockchain-enabled staking, reputation systems and prediction markets. This way research progress emerges as a chain of community generated and independently vetted blocks of scientific knowledge; these new blocks are concatenated with the state-of-the-art according to transparent consensus mechanisms.