Climate Informatics 2023: Conference and Reproducibility Challenge Registration
Andrew McDonald
TL;DR in Tweet Form
Climate Informatics Conference: 19-21 April
The Institute of Computing for Climate Science at the University of Cambridge is pleased to announce the 12th International Conference on Climate Informatics, which will be hosted at Trinity Hall, Cambridge from 19-21 April 2023.
Keynote speakers include Shakir Mohamed (DeepMind) and Laure Zanna (NYU).
Registration for in-person and online attendance is now open here and closes 3 April (in-person) / 19 April (online).
The Climate Informatics conference series aims to bring together researchers and users across different disciplines and sectors to forge international collaboration between climate science, data science, and computer science, share state-of-art developments in climate data and informatics, and accelerate the rate of discovery in climate science and adaptation of climate applications.
It is an open community aiming to stimulate discussion of new ideas, foster collaborations and accelerate discovery across disciplinary boundaries. In 2022, the conference began collaborating with the open access Environmental Data Science journal at Cambridge University Press, which provides a streamlined way for contributors to publish.
Even though the deadline for submitting papers has closed, we’d encourage you and your contacts to register as a rare networking opportunity for researchers in this emerging space in the UK.
Climate Informatics Reproducibility Challenge: 1-31 May
Following the Climate Informatics Conference, we will be hosting a virtual Reproducibility Challenge from 1-31 May. Our aim is to build community, facilitate collaboration, and advance open science within the Climate Informatics community, continuing the tradition of an annual Climate Informatics conference-associated hackathon whilst drawing inspiration from The ML Reproducibility Challenge.
In this year's challenge, teams of 2-4 will collaborate to create a notebook which reproduces the key contributions of a published environmental data science paper for eventual integration in the open-source Environmental Data Science (EDS) Book. Over the course of a month, teams will locate the data and code associated with their chosen paper; train, validate, and test the models used in the paper; visualise key results from these experiments; discuss their work with peer reviewer(s); and ultimately weave together a narrative illuminating the value of open science which culminates in a citeable, DOI-tagged notebook. Teams will further have the opportunity to network and exchange technical Q&A with fellow participants in weekly drop-in socials throughout the competition. Check out this notebook in the EDS book which reproduces IceNet (Andersson, 2021) for an example of what participants will be working towards!
More information on the reproducibility challenge is available here. Registration for the reproducibility challenge is open here through 22 April.
Cheers,
Andrew McDonald on behalf of the Climate Informatics 2023 Organising Committee