Luminous planetary intelligence — curiosity radiating outward from human hands to global systems

YUCROWN FY27 Q1 · Discovery Engine v1.0

Learn from
the World.
Share Back.

An open library of Earth tools, AI workflows, and methods — built to be explored, documented, and shared.

Good at It · Good for It · Jul 21, 2026

Scroll to explore

The Only YUCROWN Formula

question = stay_curious()

earth = read_earth(
  planetary_computer,
  google_earth,
  nasa
)

impact = understand_impact(
  our_world_in_data,
  global_forest_watch
)

connection = earthlinc(earth, impact)

publish_to_github(connection)

repeat()          # always

Top 7 Resources to Adopt

01 / 07

Microsoft Planetary Computer

Read Earth at planetary scale.

SatelliteClimateLandBiodiversityWater

Photo → Map → Satellite → System

Visit Resource 02 / 07

Google Earth

Visualize Earth.

CitiesRiversForestsCoastsInfrastructure

See Earth
before understanding Earth

Visit Resource 03 / 07

Earth LinC

Connect insight to reality.

CasesCommunitiesPlacesOrgsOpportunities

Research → Navigation → Connection

Visit Resource 04 / 07

NASA Earthdata

Open Earth science data.

AtmosphereClimateLandOceansWater

Learn from the world's largest
Earth observation archive

Visit Resource 05 / 07

Global Forest Watch

Monitor forests in near real time.

Forest LossReforestationBiodiversityConservation

Observe environmental change

Visit Resource 06 / 07

Our World in Data

Understand human systems.

EnergyClimatePopulationEducationHealth

Earth Systems + Human Systems

Visit Resource 07 / 07

GitHub

Document openly.

MethodsWorkflowsPlaybooksRepos

Document & Share Everything

Visit Resource

FY27 Resource Logic

Planetary Computer

→Read Earth

Google Earth

→Visualize Earth

Earth LinC

→Connect Earth

NASA Earthdata

→Understand Earth Systems

Global Forest Watch

→Observe Change

Our World in Data

→Understand Human Systems

GitHub

→Document & Share

OPEN Read Earth. Understand People. · PLAY Explore. Build. Pilot. · SHARE Document. Publish. Contribute. · OPEN Read Earth. Understand People. · PLAY Explore. Build. Pilot. · SHARE Document. Publish. Contribute. · OPEN Read Earth. Understand People. · PLAY Explore. Build. Pilot. · SHARE Document. Publish. Contribute. ·

Three Phases of Learning

Phase 0 — Complete

Explore

Researchers built and tested stations to practice a new way of learning. Over 50 stations were created across Earth LinC, forming an incredible hands-on learning experience.

The best way to learn the future is to practice it.

→Question

→Explore

→Build Station

→Learn

→Repeat

Phase I — Active Now

Document

Exploring new ways to use AI, documenting what works, and publishing what matters. Not a course, not an event — an open library of perspectives, methods, workflows, playbooks, and demonstrations.

→Stay Curious

→Explore Deeply

→Document Openly

→Share Generously

→New Questions

→Repeat

Phase II — Coming

Share Back

When the ecosystem starts to contribute back — sharing stations, discoveries, workflows, methods, and real-world applications. Every contribution becomes a new station for someone else.

→Explore

→Document

→Share

→Inspire Others

→More Exploration

What We Are Building

◎

Perspectives

How we see the world — original angles on Earth, people, and systems.

⊞

Methods

How we learn — repeatable, documented approaches to AI-assisted research.

⟳

Workflows

How we work with AI — step-by-step processes from question to output.

▷

Demonstrations

How ideas connect to reality — live proofs that workflows actually work.

⬡

Stations

How people practice and contribute — nano, micro, and deep learning nodes.

YUCROWN OS — A Running System

while True:

  question = stay_curious()

  discovery = explore_deeply(
    ai=True,
    earth=True,
    people=True
  )

  workflow = document_openly(discovery)

  publish(workflow)
  share_generously(workflow)

  question = next_question()  # never stop