Difference between revisions of "Three Principles of the Science of Governance"

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There are three main principles that is necessary to set up The Science of Governance through self-administered Data.
There are three main principles that is necessary to set up The Science of Governance through self-administered Data.
#Improved [[Cycle Time]] of Data Refinement:  Increased frequency of verification and validation for higher data resolution in spacetime, therefore high degree of trust-worthiness.
#Improved [[Cycle Time]] of Accountable Data Refinement:  Increased frequency of verification and validation for higher data resolution in spacetime, therefore high degree of trust-worthiness.
# Data-driven [[Accountability]]: All information sources have explicitly defined identity, including address information for Executable Contracts, Data Collecting Devices, and Data provisioning Agencies.
# Data-driven [[Accountability]]: All information sources have explicitly defined identity, including address information for Executable Contracts, Data Collecting Devices, and Data provisioning Agencies.
#Web-enabled [[Observability]]:Present Data COntent using one consistent data presentation and abstraction framework, so that data content can be presented using composable and reusable software components and networked display instruments, including Web3D, and Metaverse instruments with minimum application-specific engineering costs.
#Web-enabled [[Observability]]:Present Data COntent using one consistent data presentation and abstraction framework, so that data content can be presented using composable and reusable software components and networked display instruments, including Web3D, and Metaverse instruments with minimum application-specific engineering costs.

Latest revision as of 07:46, 18 September 2022

There are three main principles that is necessary to set up The Science of Governance through self-administered Data.

  1. Improved Cycle Time of Accountable Data Refinement: Increased frequency of verification and validation for higher data resolution in spacetime, therefore high degree of trust-worthiness.
  2. Data-driven Accountability: All information sources have explicitly defined identity, including address information for Executable Contracts, Data Collecting Devices, and Data provisioning Agencies.
  3. Web-enabled Observability:Present Data COntent using one consistent data presentation and abstraction framework, so that data content can be presented using composable and reusable software components and networked display instruments, including Web3D, and Metaverse instruments with minimum application-specific engineering costs.


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