skip to content

 

Reproducibility is a fundamental principle of research, and crucial in scientific disciplines such as climate research which impact decision and policy making and, eventually, our daily lives. This does not only apply to experimental and empirical research, but also to research relying on software and simulations. In the past decade or so, the so-called replication crisis has led to a number of initiatives and networks which address issues with computational reproducibility. One such initiative is the ReproHack community and hub.

The Institute of Computing for Climate Science (ICCS) Research Software Engineers (RSE) team is organising a ReproHack for the climate research community. A ReproHack is an event where the participants come together to reproduce computational key results of research papers which have been submitted for this purpose before the event. This provides a number of benefits for both the participants and the authors of the papers:

  • The participants learn hands-on about research reproducibility and software best practices. Going back to their own codes and research after the event they will be aware how they can improve their practices.

  • The participants will also have the experience of working in a team with an unfamiliar code. Less experienced programmers can see how experienced coders approach the task, and gain confidence talking about their thought processes and problems.

  • The paper authors receive feedback on the reproducibility of their papers as well as the code, which helps them improve. This is particularly useful if they submit papers which have not yet been published, as they can incorporate the feedback.

By joining our event, you agree to abide by our Code of Conduct


Two ways to get involved:

Nominate a paper

We invite nominations for papers that have both associated code and data publicly available. We also encourage analyses based on open source tools as we cannot guarantee participants will have access to specialised licenced software.

See list below for paper associated with this event or browse the full list of submitted papers. You can also consult our author guidelines for more information.

Review and reproduce a paper

Join us at the hack to dig into exciting science, learn more about reproducibility, working with other people’s code and data and more!


Agenda

Time (UTC) Event
13:00 Welcome and Orientation
13:10 Ice breaker session
13:40 Talk with Alejandro Coca-Castro on "The Turing Way"
14:00 Tips and Tricks for Reproducing and Reviewing.
14:10 Select papers, chat and coffee
14:30 Round I of ReproHacking (break-out rooms)
15:30 Re-group and sharing of experiences
15:50 Coffee break
16:15 Round II of ReproHacking (break-out rooms) - Complete Feedback Form
17:15 Re-group and sharing of experiences
17:45 Feedback and Closing
18:00 End

On the day

We’ll track of discussions and collaborative notes on the event hackpad

As all ReproHack events, we strive to make this event open and inclusive to all. As such the event is governed by the ReproHack Code of Conduct. Please read it before participating. By participating, you are expected to uphold this code.

Authors

We encourage authors that are keen and submitting to a specific event, to engage with the event, even just to say hello! You can do so on twitter (check for event specific hashtags or use @ReproHack) or by joining the review-chat channel in our slack group. We’ve also set up an authors channel in our slack group as a place where you can reach the organisers prior to the hack.

Participants

Further participant information can be found in the event hackpad.


Registration

Please register yourself here and find more information on the event website. Closing date for sign-up is February 29th by the end of the day.

Date: 
Tuesday, 12 March, 2024 - 13:00 to 18:00
Contact name: 
ICCS Team
Contact email: 
Contact phone: 
01223764060
Event location: 
Virtual

About Us

Computational modelling is key to climate science. But models are becoming increasingly complex as we seek to understand our world in more depth and model it at higher fidelity. The Institute of Computing for Climate Science studies and supports the role of software engineering, computer science, artificial intelligence, and data science within climate science.

The institute comprises a collaboration between Cambridge Zero, the Departments of Applied Mathematics and Theoretical Physics (host department of the institute), Computer Science and Technology, and University Information Services at the University of Cambridge.

Read more