SUSTAINABILITY · A LEARNING EXPERIMENT
The ripple effect.
One decision. A connected world.
A different way to understand your impact.

Where does
your impact begin?
Meet your instructor. Make a prediction.
Follow the connections.
Video playback is unavailable. You can still explore the complete interaction.
Where would you
look first?
Which area do you think contributes most to Northline’s footprint?
This is a prediction, not a test. Let’s see what the data reveals.
A footprint without borders.
The baseline changes
the answer.
Supply chain 600 tCO₂e / year
A 25% reduction across this entire category avoids 150 tCO₂e—compared with 75 for energy and 25 for travel.
The largest opportunity depends on the starting footprint.of this company’s footprint
comes from its supply chain.
One decision.
A wider perspective.
“You’ve seen how one decision can ripple across an entire system. What would you like to explore next?”
You can continue to the course guide if the clip cannot play.What would you
like to explore?
Your choices are part of the conversation.
For a larger learning canvas, use full screen and turn your phone to landscape.
About this demonstration
Northline is fictional. Its invented annual baseline is 1,000 tCO₂e: energy 300, supply chain 600, and employee travel 100. Map locations and routes are illustrative, not measured or geographically attributed emissions.
Supply chain comprises manufacturing 320, logistics 180, and procurement 100. Energy comprises two operations at 180 and 120. Travel comprises two locations at 60 and 40. Each slider scenario changes only the selected connection: avoided emissions = connection baseline × reduction percentage; remaining company total = 1,000 − avoided emissions. Scenarios do not accumulate. tCO₂e means metric tonnes of carbon dioxide equivalent.
The prediction is ungraded. The takeaway compares whole categories, not individual connections. A production chatbot would need approved source material, a secure backend, and LMS integration; this prototype uses scripted answers only. Workplace next steps in the guide are discussion prompts, not a verified emissions-reduction plan.
Earth imagery: WebGL Earth sample image. Rendering: Three.js (MIT). Presenter imagery and video are AI-generated.