PRINCIPIA is a transparent blockchain-powered ecosystem for peer-review of scientific outputs (ie, papers, patents, ...). The platform allows users, including existing publishing groups, to create and manage peer-reviewed journals.
PRINCIPIA is a free market where researchers and publishers exchange crypto-tokens for journals, reviews and publications. Output is automatically open access.
PRINCIPIA's referees are remunerated for their efforts and quality reviews. At variance with the traditional peer-review system, good referees are transparently and automatically rewarded in crypto-tokens for their commitment.
PRINCIPIA naturally allows to recognize prestige of users and journals, with an intrinsic reputation system which does not depend on third-parties and heuristics.
PRINCIPIA scores the reputation of a journal according to the reputation of the corresponding editorial committee. This facilitates groups of people with high reputation to bootstrap new journals.
|Current peer-review system||Principia peer-review system||Consequences|
|Referees review (mostly) for free||Referees review and are remunerated||Power and money more balanced between researchers and publishers|
|Referees have often no incentives for quality reviews||Referees remuneration depends on quality reviews||Referees are motivated to write good reviews|
|New journals are difficult and expensive to start||New journals are easy and free to start||More genuine competition between journals. Journals get naturally more specialised|
|Hard to bootstrap a new journal's reputation||A new journal inherits the reputation of its founders||Journals not achieving their mission, or high quality, will die out automatically|
|Open access journals desirable, but often very expensive||All journals are open access and very cost-effective||Dramatic reduction of costs to access research output ad higher impact of research content|
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Physicist, Head of Complex Multilayer Network Group at Fondazione Bruno Kessler (Trento). Associate Editor for the Journal of Complex Networks and for Complexity. Expert in Complex Systems, Emergent Behaviour and Information Theory
Lecturer in Mathematics at City, University of London, and Research Fellow at the UCL Centre for Blockchain Technologies. Expert in the collective dynamics of social and cognitive systems.
Physicist, associate professor at Ghent University. He studies dynamical systems and complex networks, mainly in the context of neuroscience. Editor for PLOS One, PLOS Computational Biology, Network Neuroscience, and NeuroImage. Sensible to the themes of open-access and reform of the current publishing system
Researcher at ISI Foundation, former J. McDonnell fellow. Interested in Statistical physics of complex systems, Networks science, Computational social science.
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