dmv.community is one of the many independent Mastodon servers you can use to participate in the fediverse.
A small regional Mastodon instance for those in the DC, Maryland, and Virginia areas. Local news, commentary, and conversation.

Administered by:

Server stats:

163
active users

#metascience

0 posts0 participants0 posts today

"From Hypothesis to Publication: A Comprehensive Survey of AI-Driven
Research Support Systems"

The table shown below from this paper
that shows AI tools for research paper assistance is the most informative one of this type that I have seen in looking at many, many AI and ML research papers.

arxiv.org/abs/2503.01424

The authors of this paper have a wonderful bibliography on this topic at the Github repo:
github.com/zkzhou126/AI-for-Re

UKRI Metascience AI early career fellowships

ukri.org/opportunity/ukri-meta

Call Open today, closes 10 April 2025 4:00pm UK time

If you have the AI/ML skills and want to bolster the scale and impact of your research by plugging into the most exciting metascience team in the world, please get in touch with @RoRInstitute about us supporting your fellowship application

Unjournal: Public journal-independent evaluation of impactful research unjournal.org/

The Unjournal (unjournal.org) is a nonprofit that commissions (and pays) experts to publicly evaluate and rate publicly-hosted research. It prioritizes globally-impactful work in economics and quantitative social science. It doesn’t charge for anything and it’s all open-access: you can see the evaluation output at unjournal.pubpub.org/

The UnjournalThe Unjournal

Researchers planning to do #SystematicReviews must now plan to filter out the #JunkScience. That's difficult, time-consuming, error-prone, and demoralizing. It causes some researchers to drop their plans and forces others to move more slowly.
science.org/content/article/sy
(#paywalled)

#Academia #LiteratureReviews #MetaResearch #MetaScience #ScholComm
@academicchatter

Operationalization Bias: A Suboptimal Research Practice in Psychology
Nagireddy Reddy, PsyArXiv Preprint (2022)

"This article discusses a suboptimal research practice, the operationalization bias, i.e., the practice of operationalizing a construct or phenomenon selectively, through the exclusive employment of one or very few variables and, in turn, neglecting to employ alternative operationalizations."

osf.io/preprints/psyarxiv/prqy

osf.ioOSF
Replied in thread

In line with the previous talk, Anne Gast's team identified a causal effect of recruitment (commercial provider > university recruitment)!

To conclude this #MetaRep2024 symposium, Marie-Ann Sengewald ends with some recommendations on how to realise conceptual replications that control for systematic bias and enable causal interpretations.

I was not familiar with the Causal Replication Framework (Steiner et al. 2019): econtent.hogrefe.com/doi/full/

Replied in thread

Mathias Twardawski is talking about "Conceptual Replications to Understand Context Sensitivity". In designing a study to examine context sensitivity, Mathias warns that "variation is easy, consistency is hard."

Very interesting conclusion that recruitment method (students and interested people vs. paid participants on Prolific) was the only significant driver of heterogeneity in the study outcomes (though I was personally not surprised). #MetaScience #MetaRep2024 #AcademicChatter

Replied in thread

On my way to the #MetaRep2024 conference venue this morning, I found a sourdough bakery in Munich that will set you back 1,30€ for a single white breadroll, but it was totally worth it because I am now in an excellent mood and ready for a jam-packed day of insights into #MetaScience, #OpenScience, #reproducibility, #replication and more. Which talks should I attend today? meta-rep.de/conference24/progr

Replied in thread

High on cake and earl grey after the break #MetaRep2024 and enjoying Julia Schnepf’s talk on “Fundamental misalignments of current research in #psychology”. Julia shared her experience of obtaining null-results in her #PhD and getting rejection after rejection while attempting to publish her pre-registered studied. Julia finally managed to graduate, but was clearly a victim of the “null-results penalty”. Another exciting paper for my #MetaScience reading list: sciencedirect.com/science/arti. 📚

Replied in thread

Rachel Heyard is now presenting the results of a scoping review of #reproducibility metrics: they found 50 (!) different metrics (but one comes from a paper that was then retracted). Should be available as a #preprint in the next few weeks! #MetaScience #MetaRep2024

EDIT: I had dinner with Rachel and it was 50 application papers (of which one has since been retracted) not metrics. Best to wait for the #preprint to come out to find out how many metrics exactly!