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  • Paula Schwarz

Introduction To Datanomics & Constructor Theory

Datanomics transports the value that scientists and engineers create together into a form of value that can be understood or grasped by the current economic system.


While scientists study how nature works and thus use data to understand, engineers aim to create new things, such as products, websites, environments, and experiences.


Engineers and scientists have different objectives, they have followed different processes up until now. Datanomics closes the gap between engineers and scientists.


Datanomics has created a next-level economic value system, the Datanomy.


Reforming The Asking Of Questions


Scientists ask questions to perform experiments in order to find out if things are true or false.


Engineers follow creativity-based engineering design processes in order to create functional solutions. They don't really care about right or wrong - they just want their stuff to work!

To form a foundation for the collaboration between scientists and engineers, datanomics organizes accessible knowledge in the best interest of all stakeholders by creating a constructor.


What is a constructor?


About Constructor Theory In Computation:


To create a simple, social constructor based on datanomics, one must consider who is in a given network, what tools/abilities the stakeholders have, with which incentives the stakeholders use their tools and abilities, as well as historic performance rates of different kinds.


A constructor that sets the rules for an ecosystem can continue to function after an initial life cycle has ended. The constructor can be retired (End) or it can be updated based on the findings and developments that resulted from a previously running life cycle.


At the World Datanomic Forum, constructors of different kinds are designed for specific times, locations and goals.


We mix different topics and issues such as requirements engineering, reliability, logistics, coordination of people and resources such as time or other things, testing and evaluation of tries and errors, maintainability and many other disciplines necessary to reach a certain goal. Keep in mind that the design, implementation, and ultimate destruction or retirement of a system become more difficult when dealing with large, complex and unexpected situations.


Datanomic constructor engineering ensures that all likely aspects of an ecosystem and of the generation of value of different kinds, be it environmental, interpersonal or financial are carefully considered, documented, managed and integrated into a functioning whole based on clearly defined rules, responsibilities and aspirations.


Why are constructors so important?


Because it is no longer possible to rely on given structures blindly, mainly because we want to understand the context of our surroundings, of our peers and of our own abilities, the datanomic design evolution aims to curate flexible rules for ecosystems by building constructors.


Constructors of the World Datanomic Forum offer new ways with which we can address and deal with complexity directly, intimately and effectively.


The continuing evolution of datanomic constructor engineering also means a constant flow of development and identification of new methods and techniques for social engineering and engineering in general. Datanomics is not just Datanomics. There are different styles. We will get to that later.


PS



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