Scott M. GraffiusThis article explores the 3 vital rules of science. Together, they offer a powerful lens for evaluating the validity of claims and conclusions.
#Science #CriticalThinking #Falsifiability #Replicability #Correlation #Causation
Daniel P. AldrichThanks to Gary King for pushing students and colleagues alike to take the #replicability issue seriously from the 1990s
Dutch Reproducibility NetworkFrom 20-22 July, the 4th #ACM #Conference on Reproducibility and Replicability will take place in #Delft.
The conference welcomes contributions on methods, tools, case studies, and community efforts around #reproducibility and #replicability in #computational research.
Deadlines: 10 March (abstracts)/17 March (papers)
https://acm-rep.github.io/2026/cfp/
Foto by ThisIsEngineering on unsplash
Ever wonder why some “scientific” claims sound convincing but fall apart under scrutiny?
This article explores the 3 vital rules of science. Together, they offer a powerful lens for evaluating conclusions.
#Science #CriticalThinking #Falsifiability #Replicability #CorrelationIsNotCausation
CaGISThe final paper in our upcoming special issue on #Replicability and #Reproducibility, Joseph Holler and colleagues use open science practices to develop a GIScience study on access t oCOVID-19 healthcare in Illinois, US https://doi.org/10.1080/15230406.2025.2591124 #OpenAccess #GISchat
David C. Norris 🇺🇦 🗽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.
LĂ©o VarnetAn #openaccess toolbox aimed at unifying the field of auditory reverse correlation studies by providing a consistent experimental and analysis framework allowing for better #replicability and #reproducibility
https://fediscience.org/@LeoVarnet/115627592918266083
#revcorr #revcor #psychphysics #psychology #psychoacoustics #OpenScience @psycholinguistics @psychology
https://fediscience.org/@LeoVarnet/115627592918266083
#revcorr #revcor #psychphysics #psychology #psychoacoustics #OpenScience @psycholinguistics @psychology
LĂ©o Varnet (@[email protected])
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
Serhii NazarovetsA new article by Chloe Patton shows how debates about #OpenScience often slip into absurdity – like demanding #replication from the #Humanities. You can’t replicate history, culture, or interpretation the way you replicate a physics experiment. It’s a different kind of knowledge.
https://doi.org/10.1093/reseval/rvaf052
Forcing STEM-style standards onto the humanities doesn’t improve #science – it just adds bureaucracy and limits academic freedom.
UniversityofGroningenLibraryHave you checked out our #OpenScience Bites #podcast yet? Stay tuned!
Very soon, we’ll be talking with Felipe Romero, Assistant Professor at the Faculty of #Philosophy. From a #MetaScience perspective, we’ll dive into the concepts of #reproducibility and #replicability, and why they matter for #research practice.
We’ll let you know as soon as the new episode is online!
In the meantime, feel free to listen to our earlier episodes:
Dennis Alexis Valin DittrichHow Scrutiny and Iteration Made Behavioral Economics Better https://www.chicagobooth.edu/review/how-scrutiny-iteration-made-behavioral-economics-better
"However, direct #replicability should not be confused with #generalizability or universality. While the basic patterns of behavior documented in the original experiments reliably show up in subsequent replications, their magnitudes can vary substantially across contexts. Loss aversion might be stronger in some settings than in others. Understanding this variation has become a central focus of contemporary behavioral economics research. Rather than viewing such #heterogeneity as a challenge to the field’s foundations, researchers increasingly see it as a source of insight into the underlying psychological mechanisms driving behavioral anomalies."
#BehavioralEconomics
"However, direct #replicability should not be confused with #generalizability or universality. While the basic patterns of behavior documented in the original experiments reliably show up in subsequent replications, their magnitudes can vary substantially across contexts. Loss aversion might be stronger in some settings than in others. Understanding this variation has become a central focus of contemporary behavioral economics research. Rather than viewing such #heterogeneity as a challenge to the field’s foundations, researchers increasingly see it as a source of insight into the underlying psychological mechanisms driving behavioral anomalies."
#BehavioralEconomics
