The Hackathon #0 goal is to answer this question: “How might we collect, verify and host, and share climate data in a scalable and sustainable way?”
We will come up with several competing propositions that will present technical choices, system designs, roadmaps, and strategies. It will also be an opportunity to build a team and identify the resources needed to scale.
And also
Minimum viable group: 12 participants (4 groups of 3, 3 groups of 4).
Maximum participation: 200 participants live on zoom
Los Angeles | New York | London | Delhi | Tokyo | Activity |
Fri 27th 15:00 | Fri 27th 18:00 | Fri 27th: 23:00 | Sat 28th: 4:30 | Sat 28th: 8:00 | Kick off session
Briefing 1h, questions, discussions |
Fri 27th 16:00 | Fri 27th 19:00 | Sat 28th: 00:00 | Sat 28th: 5:30 | Sat 28th: 9:00 | Team Forming and Kick off brainstorm |
Work Together – Can suggest timeblocks | |||||
Sat 28th
16:00 |
Sat 28th:
19:00 |
Sun 29th:
00:00 |
Sun 29th:
5:30 |
Sun 29th: 9:00 | Short Presentations, and discussion |
Sat 28th
17:00 |
Sat 28th
20:00 |
Sun 29th:
01:00 |
Sun 29th:
6:30 |
Sun 29th: 10:00 | End of Event |
10 pts | Open | Who can upload, process, and use the data? What part of the process is open? Are the community and practices inclusive? What licences are used? |
25 pts | Verified | How do you verify the data? How do people know the quality of the data? Is the data decentralised? What is the governance model? how is good behaviour, incentivised and bad behaviour dealt with? |
20 pts | Useful | Are the services / products easy to use? What kind of data are people interested in? Archive data? Real time feed? Future data? Can people easily find relevant data? Can they visualise and manipulate (compute) data on the website? Can they associate their own data set on our website? Does the service helps produce insights, inform decision making? |
10 pts | Scalable | Can the data be scaled and still work smoothly as it gets bigger? Can the same data be translated in different formats to cater to different industries? |
25 pts | Sustainable | How do we generate revenue? What is the business model to scale this data in a sustainable way? How much energy, water, natural resources do we use? |
10 pts | Safe | How safe is it to be in the community, upload, process, and use the data? Can members be anonymous? How do we maintain diversity and ethics? How robust is our infrastructure to censorship? |
100 | Total |