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Thank you so much for being part of this community and contributing to research through Zooniverse!

Yes, thank you from me too.

Ha, this is another change I hadn't noticed. But in this case I know why. Very early on after the new version of the personal home and stats pages launched, I bookmarked the page showing my All Projects / All Time stats, and haven't gone to the default page since then.

Part 2

Portuguese Backyard Worlds: Planet 9 www.zooniverse.org/projects/marckuchner/backyard-worlds-planet-9
Portuguese Disk Detective www.zooniverse.org/projects/ssilverberg/disk-detective
Portuguese Black Hole Hunters www.zooniverse.org/projects/cobalt-lensing/black-hole-hunters
Portuguese Dear Monsieur Sampaio… www.zooniverse.org/projects/mhnc-dot-up/dear-monsieur-sampaio-dot-dot-dot
Portuguese Gaia Vari www.zooniverse.org/projects/gaia-zooniverse/gaia-vari
Portuguese Tag trees www.zooniverse.org/projects/physicsjosh/tag-trees
Portuguese Kilonova Seekers www.zooniverse.org/projects/tkillestein/kilonova-seekers
Portuguese Exoasteroids www.zooniverse.org/projects/exoasteroids/exoasteroids
Russian Monkey Health Explorer www.zooniverse.org/projects/mbarrierz/monkey-health-explorer
Russian Black Hole Hunters www.zooniverse.org/projects/cobalt-lensing/black-hole-hunters
Russian Burst Chaser www.zooniverse.org/projects/amylien/burst-chaser
Russian The Daily Minor Planet www.zooniverse.org/projects/fulsdavid/the-daily-minor-planet
Turkish The Daily Minor Planet www.zooniverse.org/projects/fulsdavid/the-daily-minor-planet
Ukrainian Disk Detective www.zooniverse.org/projects/ssilverberg/disk-detective
Ukrainian Gaia Vari www.zooniverse.org/projects/gaia-zooniverse/gaia-vari
Urdu Radio Galaxy Zoo: EMU www.zooniverse.org/projects/hongming-tang/radio-galaxy-zoo-emu
Chinese-Simplified Monkey Health Explorer www.zooniverse.org/projects/mbarrierz/monkey-health-explorer
Chinese-Simplified Penguin Watch www.zooniverse.org/projects/penguintom79/penguin-watch
Chinese-Simplified Dark Energy Explorers www.zooniverse.org/projects/erinmc/dark-energy-explorers
Chinese-Simplified Radio Galaxy Zoo: EMU www.zooniverse.org/projects/hongming-tang/radio-galaxy-zoo-emu
Chinese-Simplified Einstein@Home: Pulsar Seekers www.zooniverse.org/projects/rsengar/einstein-at-home-pulsar-seekers
Chinese-Traditional Galaxy Zoo www.zooniverse.org/projects/zookeeper/galaxy-zoo
Chinese-Traditional Monkey Health Explorer www.zooniverse.org/projects/mbarrierz/monkey-health-explorer

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All finished now Thanks to everyone who helped.

Thanks very much @ZngabitanT. I was hoping there was a "select all" function that I hadn't discovered. Oh well. I will move the subjects soon before the set gets much bigger. There are 20 pages so it shouldn't take very long.

Saludos @AlfonsoBenitoUceda! Espero que estés disfrutando de Zooniverse. Hay varios proyectos traducidos al español, si lo prefieres. Ver https://www.zooniverse.org/talk/14/1590943?comment=2579281

@mwaligorska Great to see your post and interest. Please check out citSci.org as a platform to crowdsource data collection (i.e., a platform that helps you enable participants to upload images). We have worked closely with the citSci.org team to create a data pipeline that connects their platform to Zooniverse. You can connect your citSci.org project to a Zooniverse.org project that you build (via zooniverse.org/lab). Check out https://blog.citsci.org/2021/11/17/crowdsource-images-with-citsci-analyze-them-with-the-zooniverse/ for more info and don't hesitate to reach out to contact@zooniverse.org if you need any help.

I don’t think humans are being replaced by machines, but I think the type of work they do is changing. A camera trap project nowadays is more likely to see humans working alongside machines to analyse the photos.

There’s a group here at Oxford who analyse chimp behaviour with machine learning. One of them can label 5,000 images in an afternoon, then use those labels to identify chimp behaviour, and individual chimps, in thousands of videos. The machine learning is good, but it still needs that initial human input.

And, of course, there’s still the question of the odd and unusual discoveries that can come up in Talk comments. I’m not sure how good the current state of machine learning would be at identifying those.

Could it be that the migrated database on its new hardware is responding significantly faster to queries than in its old setting? Things like the per-project "RECENTS" pages now consistently load swiftly - instead of having to wait for half a minute until the subject thumbnails begin to appear.

Hoping it'll stay so.