Version 1
: Received: 7 October 2021 / Approved: 8 October 2021 / Online: 8 October 2021 (16:55:19 CEST)
How to cite:
Ducrée, J. Digital Twin: An Oracle for Efficient Crowdsourcing of Research & Technology Development through Blockchain. Preprints2021, 2021100148. https://doi.org/10.20944/preprints202110.0148.v1
Ducrée, J. Digital Twin: An Oracle for Efficient Crowdsourcing of Research & Technology Development through Blockchain. Preprints 2021, 2021100148. https://doi.org/10.20944/preprints202110.0148.v1
Ducrée, J. Digital Twin: An Oracle for Efficient Crowdsourcing of Research & Technology Development through Blockchain. Preprints2021, 2021100148. https://doi.org/10.20944/preprints202110.0148.v1
APA Style
Ducrée, J. (2021). Digital Twin: An Oracle for Efficient Crowdsourcing of Research & Technology Development through Blockchain. Preprints. https://doi.org/10.20944/preprints202110.0148.v1
Chicago/Turabian Style
Ducrée, J. 2021 "Digital Twin: An Oracle for Efficient Crowdsourcing of Research & Technology Development through Blockchain" Preprints. https://doi.org/10.20944/preprints202110.0148.v1
Abstract
Since its inception in the late 2000s, blockchain has emerged as a powerful tool for creating trust without intermediaries to incentivize global communities for working for a common goal, such as the improvement of its very ecosystem, its applications and community adoption. While first blockchains were mainly devised for confirming transactions of their innate cryptocurrencies like Bitcoin, smart-contract blockchains like Ethereum can interface with the real-world through so-called “oracles”, which feed trustful off-chain information. This paper introduces digital twins of physical objects and processes as computational oracles to effectively unleash the tremendous opportunity offered by blockchain to the realm of fundamental science, research and technology development (RTD). The crowdsourcing concept is illustrated with the example of centrifugal flow control in microfluidic “Lab-on-a-Disc” (LoaD) systems.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.