🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

ICYMI, here is a video recording of the 3.5 hour #AAAI2024 tutorial on the Role of LLMs in Planning. 👉 youtube.com/playlist?list=… Enjoy!

Darren Bell (UKDataService), Markus Tuominnen (Tietoarkisto), Sergeja Masten (ADP), @R_Braukmann (DANS), & Arnim Bleier (GESIS @gesisorg.bsky.social) presented uses of AI within CESSDA SPs, such as #machinelearning for #metadataenrichment, keywording, marketing, & statistical analysis.

The final workshop "From MyBinder to JupyterHub: Enhancing Reproducibility in Computational Social Science" led by Arnim Bleier & Raniere Silva @[email protected] from GESIS @gesisorg.bsky.social, provided an overview of tools & strategies for enhancing reproducibility in computational social science research. Full Thread⬇

(🧵2/3) The workshop focused on the practical applications of #MyBinder and #JupyterHub, demonstrating how these platforms can be used to create interactive and #reproducible research environments.

(🧵3/3) Participants engaged in a live demonstration and discussion, exploring the potential of these tools to improve the transparency and replicability of computational social science research. #CESSDAConference2024 #SocialSciences #Humanities

I sooo much agree with this. Academic jobs require juggling too many balls with barely any support (grant writing, teaching, managing a research group, supervising students and … research). Take two hrs everyday before you look at email and social media. search.app/nnTKNba5Dqv8Eu…

A lot of people don't realise that JupyterHub can do so much more than just serve Jupyter Notebooks – it can do cool stuff like serve Linux desktop applications in the cloud! Project Jupyter

📰 Another day, another resource (though this one is more a draft): a list of #polcomm and computational social science conferences (e.g., comm, journal, po, polisci, css, hci). Feel free to share with colleagues/students/classes. docs.google.com/spreadsheets/d…

📢Die #LoveData25 steht vor der Tür! Auch in diesem Jahr bieten wir eine Übersichtsseite an, auf der Veranstaltungen zu #Forschungsdaten und #Forschungsdatenmanagement kompakt zusammengetragen werden. forschungsdaten.info/fdm-im-deutsch… #OpenScience #FDM #RDM

#surveycomparison #representationbias New #R-package out now! "sampcompR" provides functions to easily compare surveys against benchmark surveys (e.g. for bias estimation) on a univariate, bivariate, and multivariate level. By Björn Rohr & Barbara Felderer bjoernrohr.github.io/sampcompR/

Our #NFDI4DS Strategy Meeting kicked off today at Schloss Dagstuhl. Thanks for all the valuable input so far. Looking forward to the second day. #NFDI

Clearly someone needs to try this at scale – pick 1000 published scientific papers at random, ask o1 or o1-pro to look for errors, and see what turns up. I'm going to give it a shot. Anyone interested in helping out? (Incidentally, h/t Nick Gibb for also noticing that o1-pro

New paper: What happens once AIs make humans obsolete? Even without AIs seeking power, we argue that competitive pressures will fully erode human influence and values. gradual-disempowerment.ai with Jan Kulveit Raymond Douglas Nora Ammann Deger Turan David Krueger 🧵

Big news! We figured out a way to run mybinder.org instances about 5x cheaper, and in a much simpler way. As of today 2i2c.mybinder.org serves about 70% of Binder's sessions, running on a single VM on Hetzner! 2i2c.org/blog/2025/bind…

Last week we released s1 - our simple recipe for sample-efficient reasoning & test-time scaling. We’re releasing 𝐬𝟏.𝟏 trained on the 𝐬𝐚𝐦𝐞 𝟏𝐊 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 but performing much better by using r1 instead of Gemini traces. 60% on AIME25 I. Details in 🧵1/9

Are LLMs biased when they write about political issues? We just released IssueBench – the largest, most realistic benchmark of its kind – to answer this question more robustly than ever before. Long 🧵with spicy results 👇

📈Out today in PNASNews!📈 In a large pre-registered experiment (n=25,982), we find evidence that scaling the size of LLMs yields sharply diminishing persuasive returns for static political messages.  🧵:

It's 2025 and most content is still written for humans instead of LLMs. 99.9% of attention is about to be LLM attention, not human attention. E.g. 99% of libraries still have docs that basically render to some pretty .html static pages assuming a human will click through them.

Scientific work shouldn’t come at the cost of stressful work environments. DW Deutsche Welle & DER SPIEGEL investigate abuse at Germany’s #MPG. Just an isolated case?🤔 #OpenScience #ScienceCulture #Abuse youtube.com/watch?v=n5nEd6…