Keep calm and be transparent: advice from scientists who retracted their papers www.nature.com/articles/d41... @elisabethbik.bsky.social
Keep calm and be transparent: advice from scientists who retracted their papers www.nature.com/articles/d41... @elisabethbik.bsky.social
If you currently do not have a reproducible workflow where you can share data and code where possible, I expect you will soon not be able to publish in good journals.
Beyond being best practice, journals will use this to identify papers written by AI.
Plan a new project accordingly.
I always thought that's not a "fact", but just a spicy internet opinion. Evidence: Sometimes, people will tell you to use "alternatives" for loops that in fact run a loop under the hood ...
Sure, it's important to know about vectorization and the terribly clever things you can do with it, but ...
I feel very similar, because I got my PhD position via Twitter! Hope Bluesky will get there.
I've been raised base R, but I appreciate the handy data wrangling functions the tidyverse gives me. So I frankenstein base R style and tidyverse style, depending on mood and moon phase.
Alt text: Me, anxiously throwing as.data.frame() in my scripts at every opportunity to avoid the edge cases where a tibble does not behave like a data.frame.
I preregister that this will be an amazing summer school - come and see for yourself ;-)
Job alert!!
We're looking for a Postdoc and two RAs on a 3-year project examining the effects of smartphones on sleep and mental health in adolescents. Details below:
RA: tinyurl.com/7h6zrz2k
Postdoc: tinyurl.com/ykmsk757
Please repost :)
A whole new definition of "centrality"!
Learning styles?
www.apa.org/news/press/r...
At #PuG2026 in Heidelberg you can look forward to 3 keynote lectures by Simone Shamay-Tsoory (βInter-brain coupling during empathic interactionsβ), @mschoenauer.bsky.social (βThe role of reactivation in forming long-term memoriesβ) and @micahgallen.com (βToward Causality in Interoception Researchβ)!
Join my lab and collaborate with excellent scientists Magdalena Schlesinger or Anette Frank at University of Heidelberg! We offer topics on replay in humans and rodents or neurobiologically inspired AI, respectively.
Deadline 31st March.
Apply here: www.health-life-sciences.de/opportunitie...
Oh, hello there, fellow person from the club of gall-bladder-less people!
Absolutely, that doesn't make the paper any better. But it's also harmful if people invent things that are wrong with the paper.
The fake reference comment seems to be wrong, though: "[...] I spot checked some Google Scholar links and none worked. I attempted to find one article using the authors and title and found nothing." Yes, the Scholar links don't work, but I found all papers in the screenshot attached to the comment.
Probably a nightmare for non-natives! I also don't like it and would really prefer "du"/first name basis, and I also believe there is a bit of a generational shift, with younger people being less formal overall.
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is extremely important. The default is to address a new (adult) person with "Sie" instead of "du" (verbs also change then). We already learn that as toddlers (my parents were very anxious about it). Many countries don't have that, or if they do, they don't really use it ("usted" in Spanish).
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to any student). It was impossible to generalize consistent rules from these experiences :-D
Generally speaking, though, Germans are extremely formal by default, and most profs will expect to be addressed this way. We're also one of the few countries where the "HΓΆflichkeitsform" ("polite form")
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At my uni (Germany, psychology), many profs had a slide in their introductory lecture informing students how to they wanted to be addressed. It ranged from "make sure to include all my titles" to "PLEASE DON'T call me Professor - Mr ... is fine!" (he was also very quick to offer first name basis
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to describing a general phenomenon. I.e.: "This is how I researched the effect of reward on memory in my study" rather than "reward improves memory". You definitely see more of the latter type on stage, though. Really a matter of taste!
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Depends on the audience a lot - I once participated in two back-to-back science slams. Same location, same slammers, different audience. The "ranking" was totally different! (N = 2 runs, but ... :-D)
I PERSONALLY prefer the science slams that talk about your acutual scientific work, as opposed
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How well do classifiers trained on visual activity actually transfer to non-visual reactivation?
#Decoding studies often rely on training in one (visual) condition and applying it to another (e.g. rest-reactivation). However: How well does this work? Show us what makes it work and win up to 1000$!
Okay, sooo ... if I have two good sides, the best strategy would be to only offer one of them (the "everyday veins"), and save the other for emergencies (the "pristine veins")? Or should I try to randomize across sides so they are equally "used"?
Hypothetically.
In honor of spooky month, share a 4 word horror story that only someone in your profession would understand:
"Open R, run setwd() ..."
LinkedIn is a close competitor, I'd say.
Caveat: tabulate() only works for single vectors, so you can't replace sth like table(1:4, c("a", "a", "b", "b")).
Bonus points: You easily get 0 counts if you expect numbers from 1:nbins, i.e.:
> tabulate(c(3, 1, 3, 3, 3), nbins = 4)
[1] 1 0 4 0
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IF YOU CAN, REPLACE TABLE() WITH TABULATE() IN YOUR #rstats CODE!
data <- sample(1:3, 100, replace = TRUE)
microbenchmark::microbenchmark(table(data), tabulate(data), times = 10000)
I'm almost angry at how much faster this is, and why I was today years old when I learned this π€¬
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This is extremely exciting!
(But also with the release party being on October 3rd, a missed opportunity to use a "The Life of a Showgirl" reference.)
Is this ... a very early preregistration?
I also learned a fair deal of Spanish in school (read Don Quijote and all), but couldn't even do small talk nowadays. That happens, and it's normal (albeit sad). I fell into the "What?! But EVERYBODY should know THIS!" trap in the past, but learned that it's a very unhelpful trap to fall into.
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