Reading a paper this morning https://onlinelibrary.wiley.com/doi/10.1002/pds.4295 that follows Nosek & Errington (2017) https://elifesciences.org/articles/23383.pdf in muddling the distinction between #replicability as a broader scientific aim vs #reproducibility as captured in the narrow (purely 'computational') idea of #reproducibleresearch discussed e.g. in a #Guix context here https://guix.gnu.org/cookbook/en/html_node/Reproducible-Research.html.
This mistake is not uncommon, and leads (in this present paper, at least) to insufficient stress on computational reproducibility as a sine qua non of any higher-order quality attribute.
1/5 New article published in #FrontiersIn #Psychology! We introduce **fastACI**, an #openaccess toolbox that enables researchers to design auditory reverse-correlation experiments and analyze the resulting data. Auditory reverse-correlation is a powerful "ear-tracking" technique: it reveals which acoustic features participants rely on while listening to sounds, using nothing more than a computer and a pair of headphones. https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2025.1668690/full
A new article by Chloe Patton shows how debates about #OpenScience often slip into absurdity β like demanding #replication from the #Humanities. You canβt replicate history, culture, or interpretation the way you replicate a physics experiment. Itβs a different kind of knowledge.
https://doi.org/10.1093/reseval/rvaf052
Forcing STEM-style standards onto the humanities doesnβt improve #science β it just adds bureaucracy and limits academic freedom.
Have you checked out our #OpenScience Bites #podcast yet? Stay tuned!
Very soon, weβll be talking with Felipe Romero, Assistant Professor at the Faculty of #Philosophy. From a #MetaScience perspective, weβll dive into the concepts of #reproducibility and #replicability, and why they matter for #research practice.
Weβll let you know as soon as the new episode is online!
In the meantime, feel free to listen to our earlier episodes:
Even discounting bad faith and charlatans, in the biological sciences (which I am familiar with) and probably other research, we get results... but even with meticulous lab books, it's hard to reproduce the exact same experiment and replicate the exact same results. Because we really don't know all the variables
#Science #Experiments #Replicability
Unreplicable results are an open secret | Dynamic Ecology
https://dynamicecology.wordpress.com/2025/07/17/unreplicable-results-are-an-open-secret/
#statstab #378 Selective Inference: The Silent Killer of Replicability
Thoughts: Benjamin overviews the replicability crisis, alternatives to p-values (and their issues), and suggests selective reporting is a large issue itself.
#replication #crisis #pvalue #nhst #selectivereporting #replicability #reproducibility
Simplifies the creation of reproducible data science environments using the Nix package manager, as described in Dolstra (2006) <ISBN 90-393-4130-3>. The included `rix()` function generates a complete description of the environment as a `default.nix` file, which can then be built using Nix. This results in project specific software environments with pinned versions of R, packages, linked system dependencies, and other tools or programming languages such as Python or Julia. Additional helpers make it easy to run R code in Nix software environments for testing and production.
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