pleroma.debian.social

pleroma.debian.social

Are there research or studies about how much software contributes (libre or not) to climate change? Please share links to articles/posts/toots if you come across any. They don't have to be research, just anything that indirectly (as in systems thinking) helps mitigate its effects or warms up the planet.

So far I have come across Blue Angel certification for KDE's Okular (https://okular.kde.org/eco/) and the EndOf10 campaign (https://endof10.org)

#AskFedi #BoostsAppreciated #ClimateChange #Software

@libreinator i remember some KDE person named Joseph presemted about this and talked sbout code efficiency and climate change, od pumch his name, KDE and climate change into duckduckgo, i believe the slides were available on KDE's gitlab instance
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@libreinator only reference I can remember is https://dl.acm.org/doi/abs/10.1145/1364782.1364802 which I saw in a paper on metadynamics. Not directly related to your question but I think the idea of developing application-focused hardware is interesting enough in this context.

@viz ooh they mention Folding@Home! i used to run a science united (https://scienceunited.org) node at home until it exploded with a loud noise this year

@libreinator that brings back memories! I wanted to run it but I decided it wasn't worth the electricity bill, and our computer wasn't all that fast either.

The node exploding does not sound fun though! Hopefully it was all contained and no one got hurt in the process.

@viz nobody was hurt but we don't have a computer anymore (yay!). btw by node i meant a regular computer that runs BOINC in the background when it's on. i installed it around the time steel plate banging ("go corona go") and online classes began, so it was on for 3-4 hours every day.

@libreinator Ah, I figured something like that would have been the case. I think the concept was a bit too alien for me at the time so I chickened out. Now? I don't think I would even run it, I am disillusioned with the protein computation scene to run this stuff while also question the efficiency of using common people's computers for this.

@viz I'm too naive to understand protein sequencing so I don't think I'll get disillusioned with it