The Open Science Network demo at #Fediforum will focus on three key questions:

- What features are missing in federated spaces to effectively access scientific content and news as in the first wave of #ScienceTwitter?
- Which open data sources should be aggregated to merge a scientist's social and professional presence in a single meaningful profile?
- What are the missing features to enhance scientific discussion, collaboration and production in a federated environment?
@open_science
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@BeAware Yes but if they do that it works well. Anyway it's a significant first step to be readable?
& if people wish to interact, they can do so in one place rather than in the fragmented conversations that would result from cross-posting? #bridgy seems capable of reuniting the lost worlds of #ScienceTwitter.
@RichardJMurphy

Hire me to characterize phylogenetics and ecophysiology of cyanobacteria?

Video: 1-hour timelapse of WT Synechocystis aggregation.

Pls share. #postdoc #getfedihired #sciencetwitter #ScienceJobs

This is my first job search since Twitter changed to X, and the migration to Mastodon.

Any advice for finding postdoc positions here?

Microbiology; academia/industry/govt.
#ScienceTwitter #ScienceMastodon

Ever wonder what makes glue so sticky? It's all thanks to #polymers! These long, chain-like molecules form the base of modern adhesives, creating strong, versatile bonds that hold our world together. #ScienceTwitter #Chemistry

New podcast episode! Dr. Pankaj Karande discusses exciting advances in his work creating 3D-printed skin with blood vessels and hair follicles, his passion for cooking, his career path, important mentors, advice, and more! https://www.peoplebehindthescience.com/dr-pankaj-karande/

"Der Niedergang von #ScienceTwitter" — Mit dem Wandel von Twitter zu X hat die Plattform als Ort für lebendige und wertvolle #Wisskomm offenbar ausgedient – sowohl innerhalb der Wissenschaftsgemeinde wie auch darüber hinaus …

— Heute in unserem Blog: https://www.laborjournal.de/blog/?p=13219

#Twitter / #X account deactivated.
#ScienceTwitter is dying, long live #ScienceMastodon!

Do #MachineLearning algorithms perform as we expect? To assess this, CMS exploits Machine Learning again!
See this CMS briefing about the performance of jet flavor tagging algorithms: https://cms.cern/news/performance-jet-flavour-algorithms-ml-calibrate-ml-data

Revealing long-lived particles as showers by converting the CMS #muon system into a calorimeter
How is this possible? More about this creative use of CMS in our quest for new physics here: https://cms.cern/news/detector-showers-wash-away-backgrounds-new-long-lived-particles

“Thousands of scientists are cutting back on Twitter, seeding angst & uncertainty.”

That survey with only a 5% response rate went viral & got me wondering about other evidence & how the #ScienceTwitter #MastodonMigration was panning out.

So I updated my study tracker & wrote a new post @PLOS : https://absolutelymaybe.plos.org/2023/08/20/how-is-science-twitters-mastodon-migration-panning-out/

tl;dr There's been a big recent surge here; the future of #ScienceMastodon looks bright; ScienceX is materially diminished tho the network is still there.