Technological revolutions may save us from ourselves, letting us use resources in ways that protect the planet’s vital life support systems - if we learn to value methods that don‘t just create new problems and conceale old ones.
Up until today, no strong economic force has favoured such technological revolutions in the long run.
Short term gains are made largely because companies can save money and not because of the planetary virtues of sustainability per se.
We can make substantial improvements of positively impactful efforts with the monitoring, support and continuous updating of such methods.
What makes Datanomics so important?
Ecosystem transparency and knowing where to focus on in order to improve a system makes all the difference.
Members of the World Datanomic Forum and its Sub-Forums aim to improve systems in different sectors around the world by working on Preliminary System Designs (or so called 'Prototype Systems') wherein methods such as Data Analytics and Life Cycle Analysis (or LCA) are used in an effort to improve processes, dynamics and relationships in the social, political and financial realm.
We use Data Analytics in combination with Scientific Questioning and Industrial Ecology, a science that offers a metric for understanding the impacts of the life cycle of almost any object from beginning to end in terms of how they impact the global systems that support life on our planet—the carbon cycle being the best-known example.
Now that we have almost all relevant data and metrics, we can collectively redesign and improve processes that are entailed in the use and manufacture so as to be supportive for our life-support systems.
Crystalized Intelligence = Recognising what matters.
You can have a systems understanding that is first rate, but if you don’t care about the impacts those insights allow, then you’ve got to deal with the consequences.
For a long time, companies around the world have been using science and systems thinking in their self-interest.
By disregarding what science says, just ignoring factual data, people can make profits by making decisions (for example the use of dangerous pesticides) that are not in the service of society as a whole.
Why We Need The Datanomic Forum(s)
What Happens In The Forums
In closed groups, we create Preliminary Designs in order to see the big picture, identify circles of causality based on data, understand how the structure of a system produces and organises its behavior through technology and communication, and recognise the benefits of looking at problems from a number of different perspectives through quantitative and qualitative research, questionnaires and other types of data. Our aim is to help leaders focus on the creation of more lasting and inclusive results.
We look for systemic opportunities that no one player can grasp alone — not a person, a government, a company.
Try to explain in depth how an electric grid operates or why increasing atmospheric carbon dioxide ups the energy in storms, and the illusory nature of our systems understanding becomes clearer.