# ASG Journal Club - 2021

## Environment and Sustainability CTP

###### tags: `turing` `journal club` `ASG` `postdocs`

:::info
- **Event:** Journal Club - Environment and Sustainability
- **Date:** 16 July, 2021 11:00 - 12:00 (GMT)
- **Theme Leads:** Gavin Shaddick
- **Contact:** [e-mail]
- **Zoom Link:** ==https://turing-uk.zoom.us/j/95382131690?pwd=MU55Vjh6ZzFDM2RMWklob0cwTnhZZz09==
:::

:dart: Agenda
---

| Time | Activity | Location |
| ----- | -------- | -------- |
| 11:00 | Welcome, roll call and intros | Main room |
| 11:10 | Presentation | Main room|
| 11:20 | Paper discussion | Main room |
| 11:20 | Concurrent silent notetaking| HackMD |
| 11:55 | Close out, pluses and deltas | HackMD |

:books: Resources
---

* Tutorials and resources:
* Paper: https://pubmed.ncbi.nlm.nih.gov/15737076/
* Markdown cheatsheet: https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet
* HackMD: https://hackmd.io/ ([Lessons on using HackMD editor](https://hackmd.io/c/tutorials/%2Fs%2Ftutorials))

Some tips:
* Groups that are more diverse have better discussion
* Is someone having difficulty being heard?
* Aim to have a fair discussion, don't fixate on one argument
* If having a disagreement when discussing your topic, take notes of both (multiple) arguments and move on!

:pencil: Questions posed in preparation for the Journal Club session (before Friday 16 July 11am)
---

*Please write your questions as you read the paper - these could be related to the methodology, the data, the conclusions, etc.*

* [name=Aida] Is there a computational implementation of this method available for researchers to use? Perhaps on Github?
* [name=Rebecca] Why has this particular paper been selected?
*
*

:wave: Roll call and Intros (10 mins)
---

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

**:question: What tune is your recommendation for a summer playlist?**

* [name=Aida] I find myself listening to boilerplate 'coffee shop music' while I work. Can't wait to actually start working in a coffee shop occasionally!
*[name=Rebecca] Any mellow saxophone - Jan Garbarek or John Surman
*[name=Harriet] Hed Kandi Classics
*[name=Anna] listening to radio lately
* [name=Tom] Anything by Jazz Emu
* [name=Alejandro] Anything by Las Cafeteras or Habibi Fun
* [name=Griffith] Mingus's *Moanin'*
* [name=Fernando]
* [name=Hadrien]

:desktop_computer: Paper presented (10 min)
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*Please write your questions below - these could be related to the methodology, the data, the conclusions, etc.*

*
*
*
*
*

:ballot_box_with_check: While the Main Discussion is happening... please write down your questions, critique, provocation, extension of the method, etc (35 min)
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* Alejandro: For the EnvSensors project, we're are exploring [Convolutional conditional neural processes](https://gmd.copernicus.org/preprints/gmd-2020-420/) to refine local predictions. The framework for modelling $SO_2$ is an interesting one for benchmarking. It would be helpful to point public repositories to implement it where possible.
*
*
*
*

:closed_book: Wrap-up - Close out, pluses and deltas (5 mins)
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*Before you leave, please add a key take away, something you liked (a plus), and something you'd change (a delta) below.*

### Key take away

*
*
*

### Pluses

*
*
*

### Deltas

*
*
*