Channel Hunt: 10 Ways to Present Climate Change Science on YouTube

Image: Arctic sea ice likely reached its 2019 minimum extent of 1.60 million square miles (4.15 million square kilometers) on September 18th. This video is public domain and along with other supporting visualizations can be downloaded from the Scientific Visualization Studio at: http://svs.gsfc.nasa.gov/13309. YouTube channel: ‘NASA Goddard’, NASA, 2006. https://www.youtube.com/user/NASAexplorer.

Cite as:

DOI

10.25815/e2c0-3118

Citation format: The Chicago Manual of Style, 17th Edition

Generation Research. ‘Channel Hunt: 10 Ways to Present Climate Change Science on YouTube’, 2019. https://doi.org/10.25815/e2c0-3118.

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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Modeling Low Carbon Energy Futures for the United States

Estimated U.S. Energy Consumption in 2018
Source: Estimated U.S. Energy Consumption in 2018: 101.2 Quads. LLNL March 2019. Lawrence Livermore National Laboratory and the Department of Energy, URL: https://flowcharts.llnl.gov/ *more info
Cite as:

DOI

10.25815/xbvj-xa70

Citation format: The Chicago Manual of Style, 17th Edition

DeCarolis, Joseph. ‘Modeling Low Carbon Energy Futures for the United States’, 2019. https://doi.org/10.25815/xbvj-xa70.

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 Climate Knowledge: 100% OA for Climate Change 📖 / 🌍

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.

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Open Climate

— 100% open access publishing for climate change research

📗/🌍 #openclimate #eLifeSprint

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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A Community Science Index

Image: categories and example from the index, including: DECODE, Jupyter Notebooks, Global Open Science Hardware Roadmap, and PreTalx

(AKA Citizen Science)

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DOI

10.25815/6pbz-ns09

Citation format: The Chicago Manual of Style, 17th Edition

Generation Research. ‘A Community Science Index, 2019. https://doi.org/10.25815/6pbz-ns09.

This is a collaboratively made index of resources to accompany the GenR theme ‘Post-Digital Community Science‘ which ran over May/June 2019. The theme blogposts can all be seen here online.

The index has been organised to represent a number of areas and questions that were felt to be important for researchers looking to organise and plan research projects making use of Community Science. The categories in the index are:

  • projects,
  • collaborative tools and open access,
  • FOSS for open hardware, and
  • spaces.
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