Co-Creating a Regenerative Future for All.
Earth Codes Observatory discovers, discusses and safeguards data that will be the basis for visualizing and designing our collective regenerative future.
Current Program:
Earth Codes Data Commons (ECDC)
How do we train AI on what will restore and maintain a regenerative planet?
Find the data that reflects the reality of nature. Ask permission from those who steward and research it. Prepare it. Make it available to the AI toolmakers. Repeat.
Here are only some of the data areas we are currently researching, acquiring, requesting, licensing, tagging, preparing, etc for the ECDC:
Biomimicry
Indigenous Knowledge
Geology
Biophysics
Gaia Theory
Atmospheric Gas Exchange
DNA
Astrobiology
Foreign Languages
Earth Codes Data Commons (ECDC) Data Spotlight
— Indigenous Data Warriors
An indigenous, youth-led data sovereignty initiative, preparing for an ethical use of indigenous knowledge.
Photo credit Tim Rose, Shuar Territory 2016.
The Indigenous Data Warrior program is one important part of the growing Earth Codes Data Commons (ECDC).
The Indigenous Data Warriors program envisions a future where all indigenous communities have “data sovereignty” and govern their own data. In this regenerative future, indigenous communities will not only be credited when their knowledge is used in AI tools, but monetary compensation will flow smoothly to those who have stewarded knowledge for millennia; data that is needed for humanity’s collective regenerative future.
AI = Recipe.
DATA = Ingredients.
Just like chefs, data scientists and engineers need good ingredients. Even the finest tools and fanciest techniques will not save you if you have poor-quality ingredients.
Ultra-processed junk food deprives the body of nourishment in the same way vastly incomplete data sets do to our culture and planet. The Earthcodes Data Commons exists to fill in the gaps which would otherwise erase the digital participation of those who hold Earth’s regenerative knowledge/data — e.g. indigenous communities and paywalled scientists.
