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Ingo Rohlfing

H-index: 18
Political science 30%
Sociology 17%
tomlevenson.bsky.social
Two things of note in today's announcement of the 2025 Nobel physics prize (besides the work being honored).

1: The US institutional dominance of the prize continues.
2: 2 of the three laureates are immigrants, drawn here decades ago by the then-unmatched opportunities for science here...

1/
Nobel Prize in Physics Is Awarded for Work in Quantum Mechanics
www.nytimes.com

Reposted by: Ingo Rohlfing

klauspforr.bsky.social
"emerging literature" == i presented once at a conference
"recent research" == two papers and one blog post
"research tradition" == everything in my zotero folder
At least, that's what I was told
ingorohlfing.bsky.social
In Germany, probably Austria too, there are so many Associate Professorships (W1, sometimes even W2) without tenure track that it is worth mentioning if you are on a tenure-track position.
ingorohlfing.bsky.social
The threat of analytic flexibility in using large language models to simulate human data: A call to attention
arxiv.org/abs/2509.13397 #MetaScience A specification curve analysis of LLM settings produces very different results. Maybe not surprising, but definitely worth studying and pointing out
casmudde.bsky.social
My main problem with this is not so much the dominance of quantitative methods in “top-20” journals but rather the dominance of the exclusive use of quantitative methods — in many cases causality could and should have been established by a (nested) qualitative study. *
alexiakatsanidou.bsky.social
Great paper on the state of political science osf.io/preprints/os... by @guygrossman.bsky.social et. al. We have become more diverse, more quantitative, and more collaborative.
ingorohlfing.bsky.social
Seen from within academia, yes, but it may impress people from outside academia on LinkedIn, which is the point, I guess. (not endorsing this, tbc)

Reposted by: Ingo Rohlfing

jmwiarda.bsky.social
Die Professur auf Zeit, das System auf Probe
Ohne klare Gesetze und verlässliche Ressourcen bleibt der Tenure-Track ein Risiko für Nachwuchs und Hochschulen. Ein Gastbeitrag von Alena Fröde.
Im Wiarda-Blog: www.jmwiarda.de/blog/2025/10...
ingorohlfing.bsky.social
I guess the mechanism is not clear. Could be randomization levels the playing field and diversifies pool of recipients, or that more researchers feel encouraged to submit who would have also got funded without randomization. In either case, randomization seems to have a diversifying effect 2/
ingorohlfing.bsky.social
How randomisation has changed the British Academy’s approach to research funding
blogs.lse.ac.uk/impactofsoci...
Another funding org exploring randomization of awards among proposal exceeding a certain threshold.
The pool of applicants and recipients was more diverse after the policy change 1/
ingorohlfing.bsky.social
Correcting for collider effects and sample selection bias in psychological research
psycnet.apa.org/record/2024-... #CausalSky I am not sure collider bias is still that unknown. What was new to me is the proposed correction procedure (from 1982) that may help under sample selection

Reposted by: Ingo Rohlfing

worldpolitics.bsky.social
World Politics now has an #AI policy! That #policy lives on our website wpj.princeton.edu/authors-revi... and will be included in our updated Editorial Policies and Procedures document. The #journal is also adding an AI query to ScholarOne #Manuscripts that all #authors will be required to answer.

by Ingo RohlfingReposted by: Efrén O. Pérez

ingorohlfing.bsky.social
Scientific Publishing Industry Faces (US) Federal Scrutiny
www.insidehighered.com/news/governm...
Trump admin is aiming at publishing industry, but also science more broadly, from multiple angles, including peer review, APCs and creating new outlets with questionable standards
dingdingpeng.the100.ci
Just finished reading this *excellent* article by Gabriel et al. which discusses which effects can be identified in randomized controlled trials. With DAGs!>

link.springer.com/article/10.1...
Elucidating some common biases in randomized controlled trials
using directed acyclic graphs

Although the ideal randomized clinical trial is the gold standard for causal inference, real randomized trials often suffer
from imperfections that may hamper causal effect estimation. Stating the estimand of interest can help reduce confusion
about what is being estimated, but it is often difficult to determine what is and is not identifiable given a trial’s specific
imperfections. We demonstrate how directed acyclic graphs can be used to elucidate the consequences of common imperfections,
such as noncompliance, unblinding, and drop-out, for the identification of the intention-to-treat effect, the total
treatment effect and the physiological treatment effect. We assert that the physiological treatment effect is not identifiable
outside a trial with perfect compliance and no dropout, where blinding is perfectly maintained Table 1 showing the Identifiability of target estimands depending on whether there is blinding, full compliance, and no drop-out An example DAG from the paper.
Fig. 4: A blinded trial with noncompliance.

U are unobserved confounders, Z is treatment assignment, C is compliance, X is the realized treatment, S is the subject's physical and mental health status, Xself and Xcln are the treatment that the participant and the clinician believed the participant received, Y is the outcome.
jmwiarda.bsky.social
„Die Exzellenzstrategie hat sich überlebt.“
CSU-Politiker Robert Brannekämper fordert im Interview mehr Tempo beim Hochschulbau, eine echte BAföG-Reform und weniger Drittmittelzirkus.
Im Wiarda-Blog: www.jmwiarda.de/blog/2025/10...
ingorohlfing.bsky.social
Good for your and the MPG. My congrats.
ingorohlfing.bsky.social
For the fun of it, one can use the response letter to ask why exactly the estimate for the 9th control variable is important. In particular when considering the problems of interpreting estimates of control variables as causal
- doi.org/10.1017/psrm...
- doi.org/10.1177/1094... 2/
ingorohlfing.bsky.social
I think this mostly explains why tables remain dominant (in my experience): Researchers are primarily trained in showing and interpreting tables, so one keeps asking for tables in regression articles. One can show them in an appendix, but there is little reason to waste article space on a table. 1/

Reposted by: Ingo Rohlfing

jbakcoleman.bsky.social
The EA/rationalists funding Metascience have happened upon the wild worry that they’ll speed science up too much and we’ll all die.

Don’t worry, they have a solution!
ingorohlfing.bsky.social
Still presenting regression results in tables? Why not forest plots?
www.mihiretukebede.com/posts/2025-0... #dataviz This meets with this #polisci article from 2007 jkastellec.scholar.princeton.edu/sites/g/file... I think the number of plots has gone up over time, but not by much across journals
ingorohlfing.bsky.social
Interessant. Ich ahne, wieso das LLM auf diese Artikel verweist. Sie sind es aber nicht. Es war in einem Philosophy (of Science) Journal.
ingorohlfing.bsky.social
I hope the #PhilSci crowd can help: I remember a paper discussing absences in causation. It has on the first pages a 2x2 table relating presence/absence of cause and effect to each other. Probably from 2000s, or 2010s. I remember neither title nor author, I hope someone knows what I am talking about
deevybee.bsky.social
Open Science Workshop - detecting errors and misconduct in science
Dates: 20-22 October
Location: Radboud University, Nijmegen, The Netherlands
Registration link: tinyurl.com/3xkd8twf
ONLY PHYSICAL ATTENDENCE POSSIBLE! NO ONLINE POSSIBILITIES.

Reposted by: Ingo Rohlfing

juliusk.bsky.social
Deutliche Zentrum-Peripherie-Unterschiede bei der OB-Wahl in Köln: In der Innenstadt gewinnt die Kandidatin der Grünen, in äußeren Stadtteilen der Kandidat der SPD. Je größer die räumliche Distanz eines Stimmbezirks zum Kölner Dom, desto stärker die SPD – je geringer, desto stärker die Grünen. 1/2
ingorohlfing.bsky.social
into preliminary code. Replication forensics can also be quite frustrating, of course. I once spent about 25-30 hours on reproducing a standard cross-section OLS without avail. The description of the data sources was incomplete or inaccurate bc I could not compile a dataset with the same N 2/

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