We are really excited to offer semanticClimate for OA week. It's a relatively new way of communicating complex topics and it's best understood by actually "learning by doing". Don't be frightened by "semantic"; it means using machines to help with the bits machines are good at (TimBl's semantic web), freeing human brains to do what they are best at.
"Climate" is complex! No human understands everything, so it's critical to link different resources: data, text, simulations, etc. "semantic" means they can all talk to each other. Machine<->machine, human<->machine and human<->human. And anyone can be part of this; if you have resource that could be useful join us this week! There's so many levels of knowledge and so many subdisciplines
Our approach can be adjusted for any climate approach, but our examples here are:
pygetpapers)Many of you will know this means "Greenhouse Gas" in a climate context, but do you know what these gases actually are? To answer this we rely heavily on Wikimedia: Wikipedia and Wikidata. You can think of Wikidata as the "data items in Wikipedia articles" (though it's much more than that), and this week (2022-10-20) it passed 100*000_000 items! Here's the wikidata item for "greenhouse gas". It's multilingual (ग्रीनहाउस गैस and we've already had contributions to our notebooks in 7 languages)
This is an experiment! Think "us", not "I" and "you". We have working examples of search and analysis tools and also content (IPCC) with videos and text. The week is largely asynchronous; you can try these in your own timezone at your own pace. There are discussion tools so you can leave questions or offer content. We'll aim to have a time which most people can access (probably 1230 UTC, where we normally meet with India and Americas) for an hour or so on Zoom. We stress "learning by doing" and also constantly evolving software, documentation, content, examples. These work "most of the time" but may depend on experience and location (Perpetual beta); if you have problems, then identify them, and if you can, help to fix them.
We expect that the content and approach will change a lot during the week.
Typical journeys might be:
country.xml (experiment!)climate justice in EuropePMC using pygetpapersdocanalysisThis outines how we work during OAWeek
This file
Explains "semantic" and why we are doing this. Read early.
Explains what the most important tools do. Also watch the videos