This HackMD is based on AI for science and government (ASG) journal club

A permanent document exists in the HackMD: https://hackmd.io/@environmental-ds/journal-club that is regularly updated with the empty template for next event.

The Environmental Data Science β›° 🌳 πŸ™οΈ ❄️ πŸ”₯ 🌊 online Journal ClubΒΆ

DAY MONTH YEAR | TBCΒΆ

  • Time: 16:00 - 17:00 UTC (see in your time zone)

  • Paper title (and link):

  • Theme Leads: Researcher(s)

  • Contact: e-mail address(es)

Thank you for joining the The Environmental Data Science’s journal club!

We’re delighted to have you here πŸ“š

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.

The journal club is a discussion space that engage anyone interested in critically evaluating recent articles in the academic literature around a defined subject in basic or applied research, in this case conceptual or experimental AI and data science for environmental studies.

How? Join Zoom Meeting https://turing-uk.zoom.us/j/6779579342?pwd=L25scnhXUUNmVjFsc0hRWTAzTVJ1dz09

Meeting ID: 677 957 9342 Passcode: 1989

==The waiting room is enabled. The host of this call will let you in.==

All questions, comments, and recommendations are welcome!

AgendaΒΆ

Time

Activity

Location

16:00

πŸ‘‹ Welcome, roll call and intros

Main room

16:10

πŸ’» Presentation

Main room

16:20

βœ‹ Paper discussion

Main room

16:40

✏️ Concurrent silent notetaking

HackMD

16:55

πŸ“• Wrap-up and feedback

HackMD

❓ Questions (prior the meeting date)ΒΆ

Please write your posed in preparation for the Journal Club session questions as you read the paper - these could be related to the methodology, the data, the conclusions, etc.

πŸ‘‹ Roll call and Intros (10 mins)ΒΆ

Please add your name on a new line below, and answer the icebreaker question:

πŸ’¬ a fun icebreaker question

πŸ’» Paper presented (10 min)ΒΆ

Please write your questions below - these could be related to the methodology, the data, the conclusions, etc.

βœ‹ Discussions and ✏️ Notes (30 min)ΒΆ

While the Main Discussion is happening… please write down your notes, questions, critique, provocation, extension of the method, etc (30 min)

πŸ“• Wrap-up and feedback (5 mins)ΒΆ

Before you leave, please add a key takeaway, something you liked (a plus), and something you’d change (a delta) below.

Key take awayΒΆ

PlusesΒΆ

DeltasΒΆ