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CI2023 Reproducibility Challenge - Talk with the Expert | Open-source software: Project Pythia, Brian Rose

Authors: Rose, Brian;

CI2023 Reproducibility Challenge - Talk with the Expert | Open-source software: Project Pythia, Brian Rose

Abstract

On 8 May, 16:00-17:00 London time (UTC+1): the Talk with the Expert took place on "Project Pythia: Learning Python Geoscience Software" by Brian Rose, Principal Investigator of the Project Pythia. Brian gave high level talk of this initiative followed by a real-time waltk-through of content online and a demo how to use existing templates to speed-up contributions of community-led cookbooks. This event was co-hosted by EDS book - a computational notebook community for Open Environmental Science, Climate Informatics - an open community interested in research combining climate science with approaches from statistics, machine learning and data mining and Environmental Data Science Journal - part of Cambridge University Press and Assessment designed to highlight the potential of artificial intelligence and data science to enhance our understanding of the environment, and to address climate change. Talk with the Expert features advances in open and reproducible research as part of the CIimate Informatics 2023 Reproducibility Challenge.

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Keywords

scientific python ecosystem, reproducibility challenge, environmental data science, hackathon, pangeo, project pythia

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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