Mastodawn

Am Astronomietag schließen sich das Argelander-Institut für Astronomie, das Max-Planck-Institut für Radioastronomie und die Volkssternwarte Bonn zusammen. Daraus entsteht ein abwechslungsreiches Programm für Groß und Klein: von allgemeinverständlichen Astro-Vorträgen über Beobachtungen vor Ort bis hin zu partizipativen Aktivitäten wie einem Astronomiequiz und einer Kinderecke.

Eine Anmeldung ist nicht erforderlich. Der Eintritt ist frei. Der Beobachtungsplatz vor dem Institut ist ebenerdig und der Hörsaal kann über eine Rampe erreicht werden. Wir freuen uns auf Euch!

#astronomietag2026 #astronomietag #astronomie #openscience #scienceforall #outreach #wissenschaft

Margaret J. Low Dec 3

Watch the live recording of the #RoyalInstitution #ChristmasLectures before they are shown on BBC! Featuring Dame Maggie Aderin-Pocock. WMG at #WarwickUni hosts a FREE livestream 11 & 16 Dec, for ages 11+.

#Space #STEM #ScienceForAll #STEMeducation

Uni Göttingen Nov 27

Physics in Advent: a calendar with a difference!

Discover 24 exciting experiments to do at home in the run up to the holidays! Be inspired by science and win prizes!

Sign up now with people from all over the world. Experiments start from 1 December: http://physics-in-advent.org. Designed with children and teenagers in mind but everyone who is curious will want to have a go and is invited to join.

#PhysicsCanBeFun #ScienceForAll #LifeLongLearning

Westport Observatory Nov 26

Clouds won this round. We hoped to open the observatory tonight, but the sky had other plans—so we’re CLOSED tonight (11/26). Wishing everyone a warm, happy Thanksgiving! And as Giving Tuesday (Dec. 2) approaches, please consider supporting the Westport Observatory. We’re raising funds to upgrade our classroom A/V system so we can keep delivering top-tier free science lectures.

#WestportObservatory #WestportAstronomicalSociety #Thanksgiving #GivingTuesday #Astronomy #Stargazing #ScienceForAll

🌎 Experiencia interdimensional Nov 25

We Need to Talk About the Billion-Dollar Industry Holding Science Hostage 💰🔬🧪

Read Full Article

#ScienceUnderSiege #BillionDollarIndustry #ScienceForAll #TransparencyInScience #AccountabilityMatters https://www.zmescience.com/science/we-need-to-talk-about-the-billion-dollar-industry-holding-science-hostage/
Reenviado desde Science News
(https://t.me/experienciainterdimensional/9680)

We Need to Talk About the Billion-Dollar Industry Holding Science Hostage

Your tax dollars fund the research. You pay again to read it.

ZME Science

N-gated Hacker News Nov 6

🤖 This week's arXiv post celebrates Open Access Week by pretending that #LLMs have unlocked the secret to solving hard problems—who needs human intelligence when you've got machine learning to tell you how 🤣? Just donate already, and maybe they'll stop condescending to us mere mortals about the importance of "science for all" 🤑.
https://arxiv.org/abs/2510.18147 #OpenAccessWeek #MachineLearning #ScienceForAll #AIHumor #HackerNews #ngated

LLMs Encode How Difficult Problems Are

Large language models exhibit a puzzling inconsistency: they solve complex problems yet frequently fail on seemingly simpler ones. We investigate whether LLMs internally encode problem difficulty in a way that aligns with human judgment, and whether this representation tracks generalization during reinforcement learning post-training. We train linear probes across layers and token positions on 60 models, evaluating on mathematical and coding subsets of Easy2HardBench. We find that human-labeled difficulty is strongly linearly decodable (AMC: $ρ\approx 0.88$) and exhibits clear model-size scaling, whereas LLM-derived difficulty is substantially weaker and scales poorly. Steering along the difficulty direction reveals that pushing models toward "easier" representations reduces hallucination and improves accuracy. During GRPO training on Qwen2.5-Math-1.5B, the human-difficulty probe strengthens and positively correlates with test accuracy across training steps, while the LLM-difficulty probe degrades and negatively correlates with performance. These results suggest that human annotations provide a stable difficulty signal that RL amplifies, while automated difficulty estimates derived from model performance become misaligned precisely as models improve. We release probe code and evaluation scripts to facilitate replication.

arXiv.org

Galaxy-Team der Uni Freiburg Oct 17

Bootcamp success story: see how The Open University trained 80+ learners with TIAAS behind the scenes.
https://training.galaxyproject.org/training-material/news/2025/07/03/bb-tiaas.html

#UseGalaxy #GalaxyProject #EOSC #UniFreiburg #Bioinformatics #OpenScience #OpenEducation #Training #Infrastructure #EuroScienceGateway #Scalable #InfrastructureAsAService #DataScience #Education #ScienceForAll #LearningAtScale

Scaling Up Hands-On Bioinformatics Training with TIAAS – An Open University Perspective

Back in September 2024, we ran the Open University Bioinformatics Bootcamp—a free, five-day online course introducing students to the core tools and techniques used in single-cell biology. We were genuinely delighted by the level of interest: 120 students signed up, 100 showed up, and around 80 worked through the hands-on tutorials during the week. That’s a fantastic level of engagement, especially for a course that’s entirely optional and doesn’t count towards their degree.

Galaxy Training Network

OS-SCI Oct 3

Why pay for proprietary when you can innovate for free? 🐧✨ The open-source alternative (Natron) brings the same power without the price tag—flexible, community-driven, and always improving. Join the movement! #OpenSource #ScienceForAll
https://os-sci.com