class: left, title-slide # Welcome to the HPC ReproHack Closing Event<br><img src='assets/hex-logo-small.png' height=200px> ### <br><strong>Event Hackpad:</strong> <br><em>bit.ly/hpc-reprohack-hackpad</em> --- class: inverse ## Welcome back! *** # 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 💬 -- > ## So, how did the groups get on? --- class: talk, middle  ### 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  ### Team 2: > ## Encapsulated nanowires: Boosting electronic transport in carbon nanotubes > ### **Mentor:** Albert Bartok-Partay ### **Reviewers:** Connor Allen, Joe Gilkes, Arkadiy Davydov --- class: talk, middle  ### 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  ### Team 4 > ## Comminucation: Thermodynamics of stacking disorder in ice nuclei ### **Mentor:** Colm Connaughton ### **Reviewers:** Omar Adesida, Kat Blow, Aravinthen Rajkumar --- class: talk, middle  ### 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  ### 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 ## ✅ **Author feedback** ### Please ensure you have completed your review on the hub. ## ✅ **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: [](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! <img src="assets/workflow.png" width="80%" /> --- # CODE CHECK .pull-left.center[ ### [codecheck.org.uk](https://codecheck.org.uk/)  _"Independent time-stamped runs conducted by codecheckers will award a “certificate of executable computation”_ [](https://zenodo.org/record/3865491#.XwL4VZNKhfU) ] .pull-right[ <embed src="assets/codecheck.pdf" height="500" type="application/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! 🙏 - ### Thank you PARTICIPANTS for coming! - ### Thank you MENTORS for supporting! - ### Thank you AUTHORS for submitting! - ### Thank to the EPSRC for sponsoring! # 👋 --- class: center background-image: url("https://i.giphy.com/media/BWTZOE4vnj3gs/giphy.webp") background-size: cover ## .text-box[GO FORTH AND BE REPRODUCIBLE]