How digital twins can combine diverse data types to provide support for citizen science

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The active participation of the public in scientific research projects, is a rapidly expanding field in open science and open innovation. It provides an integrated model of public knowledge production and engagement with science. As a growing worldwide phenomenon, it is invigorated by evolving new technologies that connect people easily and effectively with the scientific community.
Catalysed by citizens’ wishes to be actively involved in scientific processes, as a result of recent societal trends, it also offers contributions to the rise in tertiary education.
In addition, citizen science provides a valuable tool for citizens to play a more active role in sustainable development.

 

A knowledge commons is a combination of intelligent information representation and the openness, governance, and trust required to create a participatory ecosystem whereby the whole community maintains and evolves this shared information space. A knowledge commons is predicated on a central movement from a data society to a knowledge and wisdom society.

A knowledge commons is a core ‘technology’ (defined to include both hardware/software and cultural technologies) of the solution for a more inclusive, open, and equitable community. In this participatory ecosystem, the whole community maintains and evolves the shared space.

Although graph databases are a relatively new development in computer science, learning theory has indeed traced human cognition as a progression from disconnected concepts to a graph organization.

 

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