Opensay, a new open research community, recently launched to bring together civil society organisations and modelling researchers and apply Open Science practices to further 100% decarbonization planning and policy. ‘Opensay: open (energy) system analysis community’ has come out of the predominantly European ‘openmod’ open energy modelling community to partner with civil society organizations and bring open analytics practices to a wider audience.
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Open Climate Knowledge is an open research project supported by GenR. The project aims at making research related to climate change 100% open ASAP. To do this two strands of work are planned: firstly, data mining of open research paper repositories to build an open research knowledge base, and secondly, to make a plan for how to transition to 100% open. There is an open invitation to join the Force11 working group with an introductory video conference taking place on February 11th.
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GenR has selected ten YouTube Climate Change channels to demonstrate different styles of presentation of scientific research on Climate Change to YouTube audiences. In a recent interview featured on GenR with the researcher Joachim Allgaier ‘YouTube — Fix Your AI for Climate Change! An Invitation to an Open Dialogue’ (Allgaier and Worthington 2019) the recommendation was made to scientists working in fields related to climate change to post videos about their research on YouTube to ensure the voice of science is heard on this significant communications platform. To help scientists get to grips with how to engage with YouTube audiences GenR is offering up this varied selection of example climate change science channels.
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A new project will create an Open Energy Outlook for the United States to complement the US Annual Energy Outlook, which produces modeled projections of domestic energy markets. The Open Energy Outlook will utilize an open source energy system optimization model to examine US technology and policy pathways for deep decarbonization. Energy models provide a self-consistent framework to evaluate the effects of technology innovation, shifts in fuel prices, and new energy and climate policies. The focus on open source code and data is intended to foster community involvement in the effort, allow researchers to interrogate the model and reproduce published results, and engender trust within the broader community of modelers, analysts, and decision makers. The project has been funded by the Sloan Foundation.
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Open Energy Modelling has been built up as a research community over the last ten years aiming to bring transparency to the field using an array of Open Science methods for the planning of energy systems. The role of collaboration in the research cycle used by scientists in this engineering community is now an established Open Science practice. Similar practices of collaboration and participation outside of academia involving the public are still in their infancy. Harnessing public participation in energy planning and policy development is likely change as the energy sector is undergoing rapid changes due to its large contribution to greenhouse gases and the consequent demands for transparency and innovation to tackle climate change.
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The Open Energy Modelling Initiative (shortened to openmod) is an online and offline umbrella community devoted to promoting open energy system modeling and analysis. While there are no restrictions on application area, the bulk of funded research is directed toward questions involving public policy. As of late‑2019, the openmod has about 600 participants on its mailing list, with most of them being full‑time researchers or analysts.
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An interview with Joachim Allgaier on his recently published study on how social media platforms such as YouTube have become hostile to climate science. When you search around climate change on YouTube the results are 50/50 climate science versus anti-science Chemtrails conspiracy theories.
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The newly launched AtMoDat project is carrying out research to enable data used in Atmospheric Models for Climate Research to be open and usable by the wide array of smaller modeling project and urban climate model research. The research will make use of DataCite DOIs and metadata schema, acting as extension to the schema while being supported by AtMoDat partner data infrastructure service providers
The post Improving (Meta)Data Standards for Atmospheric Models – the AtMoDat Project appeared first on Generation R.
Peter Murray-Rust launched the openNotebook resource at last week’s #eLifeSprint2019*. openNotebook is a framework for data mining, searching, and reusing research publications. Below he walks through the steps of how to use the framework in the context of climate change and opening up research to the public. Peter Murray-Rust, GenR and the Open Science Lab at TIB have initiated an open research collaboration Open Climate Knowledge to address the question of how to improve on the low rates of open access publishing related to climate change. Together we want to change this. Firstly by establishing better stats on OA rates and secondly, by coming up with a plan and recommendations for an accelerated transition to 100% OA for climate change.
The post Open Climate Knowledge: 100% OA for Climate Change 📖 / 🌍 appeared first on Generation R.
An open collaboration between Peter Murray-Rust and GenR with an invitation to the wider open science community. Open Climate text is by GenR editor Simon Worthington.
Question: If climate change related research publishing is at <30% how can it be made 100% open access ASAP?!
Invitation: Get involved, remote participation welcome! eLife are holding an innovation sprint in Cambridge, UK (and online), on 4-5th September 2019, where Peter Murray-Rust is leading a sprint contribution to create an ‘open annotated corpus of open access climate research publishing’. See: https://github.com/petermr/climate.
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