As another attempt to bring the high-level thoughts to the ground, I decided to used early brainstorming to see how the potential solutions manifest themselves and looked for focused areas for application.
The first and the fifth concept to be similar. I found the concept promising in facilitating behavior change, since it creates supportive environments for decision-making.
I think the concept is applicable to food consumption, an important portion of humans’ carbon footprint. It threw me back to the water footprint project I did in 2018 with Nathalia. The similar approach focuses on surfacing statistics that break down the impact of farming and manufacturing processes.
The implementation of carbon labels are quite difficult, since it requires building infrastructures for farmers, processors, and retailers. However, the increased transparency resulted from such framework could have tremendous systemic impact for better farming mitigation, acuter policy-making, and more sustainable consumption.
What does it look like when the infrastructure is in place? How could the new information empower us to understand our impact in changing our food consumption patterns? I’m currently creating low-fid prototypes and hope to get early feedback by next week.