Ingo Rohlfing

@ingorohlfing
1.3K Followers
937 Following
2.2K Posts
I am here for all interesting and funny posts on the social sciences, broadly understood, academia, teaching, research and science
ORCIDhttps://orcid.org/0000-0001-8715-4771
Linktreehttps://linktr.ee/ingorohlfing
Githubhttps://github.com/ingorohlfing
Personal websitehttps://ingorohlfing.wordpress.com/

RE: https://mastodon.social/@avatter/116401953662112505

Es geht in dem Artikel ja nur um Open Data, nicht um Open Access. (Ironie off)

The posit::conf(2026) program is live and we are so proud of what this community has submitted.

100+ talks. AI done thoughtfully. Quarto, Positron, Shiny, SQL, clinical data science, and teams doing serious work with limited resources.

Browse the full lineup: conf.posit.co/2026/sessions

Super Early Bird pricing ends April 10.

Register before the rate goes up: pos.it/conf

#positconf2026 #rstats #datascience #python

of controversial and innovative high-quality papers. It may work out like this, but it could also be that reviewers predisposed against controversial, innovative papers review them more negatively to prevent them from entering the lottery.
Does anyone know of a journal/venue that adopted this approach? 2/
Going through old posts: To ensure the quality of peer reviewed research introduce randomness
https://blogs.lse.ac.uk/impactofsocialsciences/2020/03/09/to-ensure-the-quality-of-peer-reviewed-research-introduce-randomness/
One suggestion is to select papers with mixed reviews randomly for publication. This would lead to acceptance of low-quality papers, but potentially also fewer rejections 1/
To ensure the quality of peer reviewed research introduce randomness - LSE Impact

Journals play an important role in signalling the quality of academic research. This quality is often linked to measures such as the journal impact factor. However, these measures often obscure the overall quality of research papers in a journal. In this post, Margit Osterloh and Bruno Frey argue that the overall quality and originality of

LSE Impact - Understanding impact and practice in academic research

Pair with:

Do Claude Code and Codex P-Hack? Sycophancy and Statistical Analysis in Large Language Models https://www.andrewcwmyers.com/asher_et_al_LLM_sycophancy.pdf

tl;dr: yes, with the right prompt these models can search over specifications, and so exploit analytic DoF. So LLMs look like they could demonstrate / prove computational reproducibility AND exploit analytic flexibility to increase the contingency of results.

Fire the starting gun for the arms race?

Navigating the two worlds of academic and public communication: the case of sociologists in Germany during the COVID-19 pandemic
https://www.nature.com/articles/s41599-026-07033-1
Two findings in this interesting study are:
1) Share of men in the public sphere is noticeably higher than the share in the research domain where the shares are closer to parity, on average.
2) There is a sizeable share of researchers with media appearances who have not published on Covid-19 until 2023.

🎉 ggauto is now on CRAN 🎉

An #RStats package that selects better chart types, and provides more accessible styling for #ggplot2 plots 📊

Blog post explaining why I made it and how it works: https://nrennie.rbind.io/blog/introducing-ggauto/

#DataViz

Introducing ggauto: automating better charts – Nicola Rennie

The ggauto package is an opinionated ggplot2 extension package that aims to help people make better charts by default. This blog post explains why it exists and how it works.

Nicola Rennie

Deutschland beteiligt sich an "Open Research Europe" #ORE. Über die Plattform können Wissenschaftler*innen aller deutschen Forschungseinrichtungen ihre Ergebnisse künftig kostenfrei veröffentlichen und in einem offenen Verfahren begutachten lassen. Die DFG wurde vom @bmftr_bund mit der Durchführung beauftragt.

Einzelheiten:
➡️https://www.dfg.de/de/aktuelles/neuigkeiten-themen/info-wissenschaft/2026/ifw-26-21

29 years of #rstats community knowledge was sitting in hard-to-search pipermail archives. So I built a more modern home for it.

Introducing the R Mailing List Archives: 631,000+ messages from 32 lists, fully searchable and available as open data.

https://r-mailing-lists.thecoatlessprofessor.com/

c) Methodologically, the article states several times "To minimize researcher degrees of freedom" in relation with the use of an LLM and prompting. This seems to miss the point because the prompting is the main degree of freedom in this analysis. 3/