hpc-reprohack-closing.Rmd

---
title: "Welcome to the HPC ReproHack Closing Event<br><img src='assets/hex-logo-small.png' height=200px>"
author: "<br>**Event Hackpad:** <br>_bit.ly/hpc-reprohack-hackpad_"
output:
  xaringan::moon_reader:
    css: [assets/css/reprohack-themer.css, assets/css/hpc-custom-styles.css]
    lib_dir: libs
    nature:
      titleSlideClass: ["left"]
      beforeInit: "https://platform.twitter.com/widgets.js"
      dev: svg
      highlightStyle: github
      highlightLines: true
      countIncrementalSlides: false
      slideNumberFormat: ""
---
class: inverse

## Welcome back!

***

```{r xaringan-themer, include = FALSE}
library(xaringanthemer)

style_duo_accent(primary_color = "#2D896B", secondary_color = "#02CC98",
                  base_font_size = "18px",
  header_font_google = google_font("Poppins", "500"),
  text_font_google   = google_font("Work Sans", "400", "400i"),
  code_font_google   = google_font("Source Code Pro"),
  title_slide_text_color = "white",
  background_color = "white",
  black_color = "#2a332c",
  title_slide_background_image = "../background.jpg",
  outfile = "assets/css/reprohack-themer.css"
)
```

# RECAP

---

## ReproHack Objectives

1. **Reproduce a paper from associated code and data**

3. **Feedback experiences to Authors**

5. **Think more broadly about opportunities and challenges**

<br>


--

### + **Explore Reproducibility of Computationally Intensive research**

> #### All papers to be reproduced on the **Sulis High Performance Computing Platform!** 


---
class: inverse, middle



# Final Regroup `r emo::ji("speech_balloon")`

--


>  ## So, how did the groups get on? 




---
class: talk, middle
![](assets/hex-logo-small.png)

### Team 1:

> ## PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals
> 
### **Mentor:** Giovanni Montana
> 
### **Reviewers:** Adam Smith, Claudia Viaro, David Ireland, Alex Beeson, Mianchu Wang

---
class: talk, middle
![](assets/hex-logo-small.png)


### Team 2:

> ## Encapsulated nanowires: Boosting electronic transport in carbon nanotubes
> 
### **Mentor:**  Albert Bartok-Partay
### **Reviewers:** Connor Allen, Joe Gilkes, Arkadiy Davydov

---

class: talk, middle
![](assets/hex-logo-small.png)

### Team 3

> ## Beyond the ponderomotive limit: Direct laser acceleration of relativistic electrons in sub-critical plasmas
### **Mentor:**  Tom Goffrey
### **Reviewers:** Andrew Angus

---

class: talk, middle
![](assets/hex-logo-small.png)

### Team 4

> ## Comminucation: Thermodynamics of stacking disorder in ice nuclei
### **Mentor:**  Colm Connaughton
### **Reviewers:** Omar Adesida, Kat Blow, Aravinthen Rajkumar

---
class: talk, middle
![](assets/hex-logo-small.png)

### Team 5

> ##  Accelerating the prediction of large carbon clusters via structure search: Evaluation of machine-learning and classical potentials
### **Mentor:** David Quigley
### **Reviewers:** Benedict Saunders, Tanmoy Chakraborty

---
class: talk, middle
![](assets/hex-logo-small.png)

### Team 6

> ## Droplet impact onto a spring-supported plate: analysis and simulations 
### **Mentor:**  Radu Cimpeanu
### **Reviewers:** Harvey Devereux, Peter Lewin-Jones


---
class: center, middle, inverse
background-image: url("assets/bubble.png")
background-size: cover

# Questions?
# Comments?


---
class: inverse, middle

# WHAT NEXT?

---
class: talk 

# END OF EVENT  Checklist

## `r emo::ji("white_check_mark")` **Author feedback**

###  Please ensure you have  completed your review on  the hub.

## `r emo::ji("white_check_mark")` **Event feedback**
#### On  the hackpad, please let us know: 
 + ### One thing you enjoyed.
 + ### One thing that can be improved.

---
 

## Did you enjoy ReproHacking? 
## Get involved!

.pull-left[
# [reprohack.org](https://www.reprohack.org/) 
]
.pull-right[
#### Chat to us:


[![Slack](https://img.shields.io/badge/slack-join%20us-brightgreen)](https://reprohack-autoinvite.herokuapp.com/)
]

- ### Host your own event! 
  train-the-trainer event coming up at CW20
  
- ### Submit your own papers!

---
class: inverse, middle, center

## Many ways to ReproHack!


```{r, echo=FALSE, out.width="80%"}
knitr::include_graphics("assets/workflow.png")
```



---
# CODE CHECK  

.pull-left.center[

### [codecheck.org.uk](https://codecheck.org.uk/)

![](https://codecheck.org.uk/img/codecheck_logo.svg)

_"Independent time-stamped runs conducted by codecheckers will award a “certificate of executable computation”_


[![](https://codecheck.org.uk/img/codeworks-badge.svg)](https://zenodo.org/record/3865491#.XwL4VZNKhfU)

]

.pull-right[

```{r, out.height="500", echo=FALSE}
knitr::include_graphics("assets/codecheck.pdf")
```

]


---

## [ReScience C](http://rescience.github.io/)

> **ReScience C** is an open-access peer-reviewed journal that targets computational research and encourages the **explicit replication** of already published research, promoting new and open-source implementations in order to ensure that the original research is reproducible.



### What is a **Replication:** 
- Repeating a published protocol
- Respecting its spirit and intentions
-  **Varying the technical details**, e.g. using different software, initial conditions, etc.

#### Change something that everyone believes shouldn’t matter, and see if the scientific conclusions are affected 



---



## Resources

- [**The Turing Way**](https://the-turing-way.netlify.com/introduction/introduction): a lightly opinionated guide to reproducible data science.

- [**Statistical Analyses and Reproducible Research**](https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.684.9629&rep=rep1&type=pdf): Gentleman and Temple Lang's introduction of the concept of Research Compendia

- [**Packaging data analytical work reproducibly using R (and friends)**](https://peerj.com/preprints/3192/): how researchers can improve the reproducibility of their work using research compendia based on R packages and related tools

- [How to Read a Research Compendium](https://arxiv.org/pdf/1806.09525.pdf): Introduction to existing conventions for research compendia and suggestions on how to utilise their shared properties in a structured reading process.





---
class: talk

# THANK YOU ALL! `r emo::ji("pray")`

- ### Thank you PARTICIPANTS for coming!
- ### Thank you MENTORS for supporting!
- ### Thank you AUTHORS for submitting!
- ### Thank to the EPSRC for sponsoring!


# `r emo::ji("wave")`

---
class: center
background-image: url("https://i.giphy.com/media/BWTZOE4vnj3gs/giphy.webp")
background-size: cover

## .text-box[GO FORTH AND BE REPRODUCIBLE]