Reproducibility Challenge Climate + ML + AI

The Environmental Data Science book (or EDS book) is partnering with Climate Informatics & Environmental Data Science Journal Cambridge University Press & Assessment to support and host the first ever virtual Reproducibility Challenge.

Join us to collaborate, ideate, and create high-quality Jupyter notebooks in Python, R and Julia for reproducing scientific publications!

:calendar: Registration Deadline: 22 April 2023
:memo: Challenge: 1-31 May 2023
:pushpin: Location: Online
:books: Domains: Climate + ML + AI
:trophy: Prize: up to Β£500 in Cambridge University Press & Assessment books

:red_circle: Register and start teaming today:

We kindly extend the invite to the Pangeo community. Please get involved as a participant (deadline 22 April) or reviewers (Ad to be shared soon). Please contact Alejandro (@acocac) or Anne (@annefou in Pangeo) for further info.

And join the next Pangeo Showcase on the EDS if you want to learn more about the Environmental Data Science Book!



Some updates of the current status of challenge. We have 7 teams from diverse geographical areas aiming to reproduce papers of the Environmental Data Science journal. Teams will publish supporting and main notebooks using EDS book publishing guidelines.

We have some activities which might be of interest to the Pangeo community.

  1. Call to reviewers is open until 13 May: find further info of duties, commitment and application form at Application β€” Climate Informatics Reproducibility Challenge.

  2. As part of the challenge, we’re hosting a series of Talk with Expert sessions. For instance, next week we’re highlighting Project Pythia (thanks @brian-rose!) and other community-driven efforts on scientific software education and development in R and Julia. See further details of the talks organised by date below.

:ballot_box_with_check: R, Cesar Luis Aybar, Preparing remote sensing data for deep learning using r-spatial
:alarm_clock: Monday 8 May, 09:00-10:00 London time (UTC+1),
:point_right: Register: Talk with the Expert - Open-source software: r-spatial, Cesar Luis Aybar Tickets, Mon 8 May 2023 at 09:00 | Eventbrite

:ballot_box_with_check: Python, Brian Rose, Project Pythia: Learning Python Geoscience Software
:alarm_clock: Monday 8 May, 16:00-17:00 London time (UTC+1),
:point_right: Register: Talk with the Expert - Open-source software: Project Pythia, Brian Rose Tickets, Mon 8 May 2023 at 16:00 | Eventbrite

:ballot_box_with_check: Julia, Rafael Schouten, Julia for Geoscience and Geospatial research
:alarm_clock: Friday 12 May, 09:00-10:00 London time (UTC+1)
:point_right: Register: Talk with the Expert - Open-source software: JuliaGeo, Rafael Schouten Tickets, Fri 12 May 2023 at 09:00 | Eventbrite

On behalf of the organising commitee:
Anne Fouilloux Andrew Hyde Andrew McDonald

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:wave: We encourage anyone interested from Pangeo community in reproducible environmental data science to join the Share-out and Teams celebration session next week. We will celebrate participants achievements and announce the winning team of the Climate Informatics 2023 Reproducibility Challenge.

:dart: Save the date. 30 days of hard work compressed into 30 minutes of insight!
:alarm_clock: Thursday 15 June, 15:30-16:00 London time (UTC+1),
:point_right: Register: Eventbrite

CI2023 Reproducibility Challenge Planning Committee
@acocac, Andrew Hyde, Andrew McDonald, @annefou