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Journal article from myself and colleagues from #semanticClimate 'Climate Justice in Electronic Publishing: A New Approach Supporting Global South Participation' - doi: doi.org/10.3998/jep.7206 in @JEPub in the special issue on Publishing and Climate Justice - TL;DR using ML tools from #semanticClimate to see what EPMC 7mil OA articles and IPCC AR6 know about climate justice; contextualising bias against global south by academic publishing practices. Notebooks & data github.com/semanticClimate/cli

The Journal of Electronic PublishingClimate Justice in Electronic Publishing: A New Approach Supporting Global South ParticipationThis article argues that the ways in which scholarly electronic publishing is currently carried out is inherently a climate injustice as it unnecessarily hinders participation by people from the Global South in the climate science discourse, which is further exacerbated by the reliance of publishers on PDF-oriented system architectures. We argue that mega-publishers and societies are responsible for the state of electronic publishing and hence for the resulting climate injustice. A new publishing model for electronic publishing is proposed, informed by the semantic web, hypermedia, and the software system designs of earlier technological visionaries who built and promoted global access to knowledge through granular indexing and linking. This new type of publishing remains unsupported in mainstream scholarly publishing, which renders the knowledge it contains almost unnavigable, especially in complex, fast-moving research domains such as climate science. We are members of the #semanticClimate open research group, led by young Indian scientists, and together we are working to implement this new model for the Intergovernmental Panel on Climate Change (IPCC) climate reports. The IPCC Sixth Assessment Report (AR6) is the most authoritative summation of climate change scientific knowledge and influences the acknowledgment of climate justice globally in policy for addressing climate change. As do other research bodies, the IPCC uses conventional electronic publishing workflows (centered on the PDF), but this holds back its potential wider reach. Our research intends to demonstrate how such reports could be made more accessible. The research we present in this article includes a semi-automated literature search on the topic of “climate justice” and asks the following questions: What does the open access scholarly corpus know about this topic, and what is the shape of the discourse as it exists in this literature? In which papers and journals has the topic appeared, and reaching back several decades, how often have the term and related terms been mentioned? We will also demonstrate the open-source tools that we will use for future work to create the Climate Knowledge Graph (ClimateKG), which aims to make the IPCC report globally accessible. The research presented in this article covers an experiment carried out by the #semanticClimate team, which focused on searching and computationally retrieving the open access scholarly research corpus from Europe PubMed Central (6.9 million open access papers) as well as all 70 chapters of the AR6 held on GitHub as HTML with IDs. The outcome of this experiment is a first-round scoping exercise to create the Climate Justice Dictionary, which represents terms associated with climate justice collected from this open scholarly corpus over 20 years as well as from the IPCC report.
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🧵 5/8 - #semanticClimate - semanticclimate.github.io/ events, software, tutorials. |
Journal Article: Worthington, Simon, Gitanjali Yadav, Shweata Hegde, Renu Kumari, Neeraj Kumari, and Peter Murray-Rust. 2024. ‘The #SemanticClimate Community: Making Open-Source Software for Knowledge Liberation’. Annals of Library and Information Studies doi.org/10.56042/alis.v71i4.14 | Pic: AI for Climate | A Data Mining Workshop. Center for Applied Geomatics, CRDF, Ahmedabad, Gujarat, India - semanticclimate.github.io/p/en

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🧵 4/8 - #semanticClimate is active on a daily basis as a community and NIPGR supports an India wide internship programme, hackathon series, and youth outreach programme. Additionally #sC presents globally from Beijing, Montevideo, to Berlin. E.g., Hands-on workshop on BioAI for Research, 21-23 January 2025 at #NIPGR semanticclimate.github.io/p/en with a number of interns and volunteers contributing to the programme | Full events list semanticclimate.github.io/p/en

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🧵 3/8 - ClimateKG comes directly out of the five year old #semanticClimate open research group founded by Dr. Gitanjali Yadav of the National Institute of Plant Genome Research #NIPGR Delhi, Dr Peter Murray-Rust of Cambridge University, and Simon Worthington (TIB) which works on software tool development for semantic enrichment. #ClimateKG. Photo: National Conclave on AI and Ethics - semanticclimate.github.io/p/en

🧵 4/8 - #semanticClimate is active on a daily basis as a community and NIPGR supports an India wide internship programme, hackathon series, and youth outreach programme. Additionally #sC presents globally from Beijing, Montevideo, to Berlin. E.g., Hands-on workshop on BioAI for Research, 21-23 January 2025 at #NIPGR semanticclimate.github.io/p/en with a number of interns and volunteers contributing to the programme | Full events list semanticclimate.github.io/p/en

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🧵 9/9 How did we get here. #ClimateKG comes out of the five year old #semanticClimate (#sC) open research group founded by Dr. Gitanjali Yadav of the National Institute of Plant Genome Research (NIPGR), Delhi, Dr Peter Murray-Rust of Cambridge University, and Simon Worthington. We works on software tool development for semantic enrichment. #semanticClimate is active on a daily basis as a community and NIPGR supports an internship programme, hackathons, & outreach. Web: semanticclimate.github.io/

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🧵 7/9 #ClimateKG foundational software: Dictionaries, machine learning, etc. This all comes from team #semanticClimate. Status: Production. Here is a live demo that explains the tool chain of colab.research.google.com/gith for machine learning and #TBL 5*-ification of data - shout out to the developers DEVELOPERS: 1. pygetpapers - Ayush Garg 2. amilib - Peter Murray-Rust 2. docanalysis - Shweata N Hegde 2. Jupyter notebooks - Parijat Bhadra, Renu Kumari

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🧵 4/9 IPCC Glossary semantification and enhancement. The 800+ terms from AR5 and AR6 have had several experimental rounds carried out: Screenscraped to GitHub, loaded into a Wikibase install, demonstrated as a index to tag documents, rendered out to Paged Media CSS with Wikipedia enhancements, and translation to Hindi. #ClimateKG #semanticClimate - In #wikibase climatekg.semanticclimate.net/ as Paged Media CSS using #vivliostyle vivliostyle.vercel.app/#src=ht

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🧵 3/9 Next is a Report top level data structure: Table of Contents (Visualisation) of AR6 70 chapters. Status #Alpha - the chapters of Sixth Assessment Report — IPCC. Using #graphvis in Python the chapters and their connections are automatically mapped #semanticClimate #ClimateKG github.com/semanticClimate/int The TOC structure is designed to provide a clear and hierarchical representation of report sections, including chapters, glossaries, supplemental materials, and cross-chapter references.

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🧵 2/6 Climate Knowledge Graph is an R&D project hosted at TIB @tibhannover – Leibniz Information Centre for Science and Technology and organised partnership with #semanticClimate. It's a 12 month development phase to start in May 2025. The Mission - should you choose to accept it :-) is to support the dissemination of the IPCC Reports. #frictionlessdata #frictionlesspublishing to borrow from @okfde | Image: OKFBrasil ok.org.br/noticia/participe-do