This HackMD is adapted under a CC-BY license from The Turing Way collaboration cafe template
Thank you for joining the The Environmental Data Science's online Show & Tell π¬ π¬ !
We're delighted to have you here π
What? The Environmental Data Science is a community aiming to learn and discuss scientific software practises/developments fostered by AI and data science for a better understanding of our Planet Earth and environmental systems.
Show and Tell are online coworking calls to gather feedback informally, but more importantly, it's a celebration once every two months of what you, your team and/or someone else in the community has accomplished.
Read more about it here: https://the-environmental-ds-book.netlify.app/community/coworking.html
Who? Everyone interested in reproducible, ethical, and inclusive data science and research for environmental studies are welcome to join the full or any part of The Environmental Data Science project, community, and/or this call.
When? 25 January 2022, 13:00 - 14:00 UTC (see in your time zone)
Next call: 22 March 2022
How? Join Zoom Meeting https://turing-uk.zoom.us/j/6779579342?pwd=L25scnhXUUNmVjFsc0hRWTAzTVJ1dz09
All questions, comments and recommendations are welcome!
Name + The most funny word/expression you've found from a language different to your mother tongue + an emoji to represent it (emoji cheatsheet)
(Remember that this is a public document. You can use a pseudonym if you'd prefer.)
Advertise and promote your event, or anything exciting you're working on. β¨
https://cuckoo.team/environmental-ds
Duration | Activity |
---|---|
Start | π Welcome, code of conduct review |
10 mins | Introductions and goal settings |
10 mins | π¬ Show and Tell 1 |
5 mins | π¬ Show and Tell 1 - Q&A |
5 mins | βοΈ Break |
10 mins | π¬ Show and Tell 2 |
5 mins | π¬ Show and Tell 2 - Q&A |
10 mins | Open discussion: celebrations, reflections and future directions |
5 mins | π Close |
If you have an idea for a topic you'd like to discuss in a show and tell slot, please add it below and put your name next to it. If you like one of the topics that is already suggested, please add your name next to that one. For more information about show and tell slots see the description on GitHub.
Name(s) / Topic
Links from Alejandro:
Links from Tim:
Q & A
Future directions