📆 Letzte Chance!

Bis einschließlich diesen Sonntag, den 15.02.2026, ist die Anmeldung zur #FDZ-Frühjahrsakademie 2026 noch geöffnet.

U.a. gibt es Workshops zu folgenden Themen:
🔍 Introduction to Graphical Causal Inference
🔍 Meet the Data: PISA 2022
🔍 Ask Me Anything zu Daten teilen und Open Science

Mehr Informationen & Anmeldung ➡️ www.iqb.hu-berlin.de/fdz-akademie

Typst 0.14 is out now! Get ready for production with accessibility, PDFs as images, character-level justification, and more. Learn about more of the highlights in Typst 0.14 in the thread below ⤵️

#typst

📂 Discover why you should share data and what are the fundamentals of data sharing practicalities!
Attend the “Data Sharing” lecture by Prof. Dr. Felix Schönbrodt (@nicebread) on Tuesday 16 September, 09:00-09:45.
👉 Register here for free: https://www.pretix.osc.lmu.de/lmu-osc/OSSS25/

#OpenScience #OSSS25 #LMUOSC

⚠️ PsyArXiv is updating its policies in light of a higher volume of low quality submissions and our recent switch to a pre-moderation workflow.

Read more about this change here 👉 (https://improvingpsych.org/2025/09/03/update-to-psyarxiv-policy/ ) and see our updated policies here 👉 (is.gd/paxpolicy ).

CRAN now has html manuals of packages!! #rStats A year long effort by Kurt, Deepayan and some contributions on the R dev day of UseR2024!
I am sure there are still some issues to fix (see comment below), but I am happy to see this moving forward.

It already helped me to find some functions missing on the reference index of a package website.

#jobalert do you want to contribute to responsible use of #SyntheticData in science and beyond?

We have a position available as part of our newly started project on implementing #SyntheticData in the real world.

https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/writerresearcher-on-responsible-use-of-synthetic-data

It is a part-time job, we're a nice consortium, and we are very excited to work on this project!

If this resonates with you, please apply! Even if you feel like you are not the perfect match, we are very flexible.

👀 I just stumbled upon this old post where I create a tiny (the smallest I could think of) Generative Adversarial Network in #rstats #torch to understand how it works, especially in the context of #SyntheticData

The GAN learns to generate data from a Normal(1, 3) distribution from scratch

https://erikjanvankesteren.nl/blog/tiny_gan