
Technologies
for Nature
A system is
more than the sum of its parts

Image: LIDAR point cloud data (x, y, z) example
combines a range of
analog & digital technologies
with sound impact
for city ecosystems


towards the Nature's
reasoning
reconsidering the way
we think, we talk, we act
Cognitive biases
built-in patterns of thinking
affect how we interpret
and process information
from the world around us
Logical fallacies
errors or tricks of thought
committed in an argument,
how we construct arguments,
communicate ideas to others
redefining
traceability
challenging buzzwords
circular, traceable, regenerative, up-cycled, biodegradable, compostable, circular,
sustainable
in to
meaning

Proofing Technologies
Applying and synthesizing the following proofing technologies make the difference with the real impact only with the STEAM integration
Technology is one of the component of STEAM
It can only be meaningful with other technologies
Moreover, it requires ongoing improvement and feedback
with integrated scientific, engineering, mathematical and artistic knowledge
the purpose :
Nature as the value center reference

rewarding and empowerment of
true circular actions
towards regenerating the nature,
not in the direction for the greenwashing

Gamifying the reality, playing with the reality
Technology behind the Blockchain
3 dimensional geometry of Earth and Space
Superposition of space and time on Earth
Sensory networks talks with Internet of Things
Towards meta Realities:
From Virtual to Extended
Learning from Nature,
Tech for Natural Intelligence
PoAt Proof of Attitude
Gamification &
Serious Gaming
D L T and Blockchain
Distributed Ledger Technologies
L I D A R
Light / LASER Imaging Detection & Ranging
Geospatial Technologies
- G I S Geographic Information Systems
- R S Remote Sensing
- G N S S Global Navigation Satellite Systems
Sensing Technologies & IoT
Internet of Things
Immersive Technologies & Media
- Virtual Reality VR
- Augmented Reality AR
- Mixed Reality MR
- Extended Reality XR
Artificial Intelligence
- Machine Learning
- Neural Networks
- Deep Learning
PoDt Proof of Data
PoGm Proof of Geometry
PoGl Proof of Geolocation
PoSe Proof of Sensing
PoRe Proof of Realities
PoLe Proof of Learning