Plants for the climate
One way to do something about the rapid climate change is to plant a tree. Or more precisely: 1.2 trillion trees. By creating a network of ecologists across the world, and tying their information together with machine learning models, the Crowther Lab has mapped the entire global forest system, and in doing so has been able to quantify a climate change mitigation solution for the very first time. There are 3 trillion trees on the planet. But more importantly, there is room for 1.2 trillion more, and the results show exactly which parts of the world we need to focus reforestation efforts on. Using this information, reforestation could have a major impact on climate change. The Crowther Lab has a holistic approach in understanding the ecological processes. Simone Bucher van Ligten
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Week 3 (CW47) – Visualization, Microinteraction
In the third week you create and define the visualization and microinteractions.
Week 4 (CW48) – Prototyping
Working prototype which shows the most relevant screens and the microinteractions.
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Resources
Videos
Recommended
- Tom Crowther speech (Please watch this before your visit to Crowther Lab on 07.11.)
- Global Tree Restoration Potential
- Overview
- Part 1: Introduction
- Part 2: Methodology
- Part 3: Results
Optional
- Environmental activists Greta Thunberg and George Monbiot have helped produce a short film highlighting the need to protect, restore and use nature to tackle the climate crisis.
- The Carbon Cycle explained:
Minute Earth provide scientific explanations for non-scientists: https://www.youtube.com/channel/UCeiYXex_fwgYDonaTcSIk6w
Reading
Recommended
(The videos above summarise these two technical papers so please do not feel intimidated by them!)
Optional
- Latest IPCC reports (we encourage you to do a search for the word “Forest” or “Tree” to access relevant information and not have to read the full documents).
- Understanding climate change from a global analysis of city analogues
- Technical Statement for The Global Tree Restoration Potential paper
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- Documentation; format: PDF
- Video / Screencast; add the IAD intro and closing credits to your videos
- Video / User-test
- Images (Screenshots & Usage Scenarios); approx. 10 representative images of the project
- Text (project title, short description, project description)
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W1 | Monday 4.11. | Tuesday 5.11. | Wednesday 6.11. | Thursday 7.11. | Friday 8.11. |
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| Theorie | Explore, Requirements Gathering | Explore, Requirements Gathering | Theory | ||
Data Literacy (4.K11) | Kick-Off (4.T33) | ||||
| self-study | Crowther Lab (Universitätsstrasse 16) 15.00–17.00 JS, MD | self-study | |||
W2 | Tuesday 12.11. | Wednesday 13.11. | Thursday 14.11. | Friday 15.11. | |
| Design Concept, Storytelling | Design Concept, Storytelling | Design Concept, Storytelling | Theory | ||
| Kick-Off Design Concept, Storytelling (6.F01) 09.00–10.00 JS Mentoring (4.K22-1) | Input table (5.G02) | Mentoring (4.K22-1) | Data Literacy (5.D01) | ||
Input storytelling (room tba) self-study | Atelier visit 13.00–17.00 JS, MD | self-study | self-study | ||
W3 | Tuesday 19.11. | Wednesday 20.11. | Thursday 21.11. | Friday 22.11. | |
| Visualization | Visualization | Visualization | Visualization | ||
Kick-Off Visualization (4.T07) Mentoring (4.K22-1) | self-study | Mentoring (4.K22-1) | self-study | ||
| self-study | Schulterblick (4.K22-1) 14.00–17.00 JS, MD, SB, TL, TW etc. | self-study | Schulterblick (4.K22) 14.00–18.00 | ||
W4 | Tuesday 26.11. | Wednesday 27.11. | Thursday 28.11. | Friday 29.11. | |
| Prototyping | Prototyping | Prototyping | Documentation | ||
Mentoring (4.K22-1) | self-study | self-study | self-study | ||
| self-study | Atelier visit (4.K22-1) 13.00–17.00 JS, MD | Final Presentation (4.K22-1) 14.00–17.00 JS, MD, SB, TL, TW etc. | Alumni Seminar 14.00–18.00 |
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