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
6th of November – 29th of November 2019
Jürgen Späth | juergen.spaeth@zhdk.ch
Martin Dušek | martin.dusek@zhdk.ch
01 Sophie Anderhub 02 Damaris Büchner 03 Andreas Bütler 04 Roman Engler 05 Fabian Fry 06 Tim Fuchs 07 Andreas Fürer 08 Pascal Jeker 09 Andy Kirk 10 Yao Liu 11 Sonjoi Nielsen 12 Shafira Maharani Nabiila Nugroho 13 Anurag Rao 14 Paméla Schmidinger 15 Yangzom Sharlhey 16 Danuka Ana Tomas 17 Tamara Trabucca 18 Zoë Urand
We will work in groups of 2x5 and 2x4 students.
The explore phase is our hard drive for all relevant information about our users and their needs as well as the general context in which our application is embedded. Trends & Technology, Competitor, Facts, User, Needs, Insights etc.
In this phase, the visual concept and storytelling for the overall installation are developed. What do visitors see when they approach the installation and nobody interacts? How are they asked to interact? What can visitors influence by interacting with an input object? What influence does it have if several visitors interact at the same time? What kind of content should the visualization convey? What kind of information or message can the viewer draw from the visualization?
Inspiration
Recommended
Optional
Minute Earth provide scientific explanations for non-scientists: https://www.youtube.com/channel/UCeiYXex_fwgYDonaTcSIk6w
Recommended
(The videos above summarise these two technical papers so please do not feel intimidated by them!)
Optional
See the IAD documentation guidelines for the standard material.
All deliverables have to be uploaded to the filer until Monday 02.12.2019 at 9 am.
Grades will be based on final presentation, final work, deliverables.
Below is a list of the dates in this module. In the bold appointments, we will all meet together, while the underlined appointments are individual meetings. The brightly marked fields represent the focus of these days.
W1 | Monday 4.11. | Tuesday 5.11. | Wednesday 6.11. | Thursday 7.11. | Friday 8.11. |
|---|---|---|---|---|---|
| Theorie | Explore, Requirements Gathering | Explore, Requirements Gathering | Theory | ||
Data Literacy (4.K11) | Kick-Off (4.T33) | Data Literacy (5.G02) | Data Literacy (5.D01) | ||
| 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 | ||
Mentoring (4.K22-1) | Input table (4.D12) | Mentoring (4.K22-1) | Data Literacy (5.D01) | ||
| 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 | ||
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 |
JS: Jürgen Späth, MD: Martin Dušek, TG: Timo Grossenbacher, LF: Luke Franzke, FB: Florian Bruggisser, SB: Simone Bucher van Ligten (ETH Global), TL: Tara Lasrado (Crowtherlab), TW: Elliott Thomas William (Crowtherlab)