Dutch universities are making a move to abandon the impact factor in recognition and reward considerations. A group of 170 Dutch academics posted a critical response to this initiative. I summarize why these responses fail to convince me. 🧵
First, for context, here the initiative by @UniUtrecht we are talking about: changing rewards and recognitions. Other universities have similar initiatives.

nature.com/articles/d4158…
Here the rebuttal by 171 academics in the Netherlands, most of whom appear to be full professors. It's in NL, but google translate works well for Dutch websites.

scienceguide.nl/2021/07/nieuwe…
Their first argument: IF does not play a disproportionate role in Dutch academia; researchers obtain grants without publication in high IF journals.

The argument is supported by a story, but not by any data, which does not make this very convincing to me.
Second, they maintain IF works as intended: studies in high IF journals have more experiments, are reviewed more rigorously, thus "guarantee" higher quality.
Not only is this not supported by any data in the piece; this contrasts with data we have about IF (retraction rate higher for high IF journals). I list a few in this thread:

Authors then move on to argue that alternatives to the IF, such as narrative CVs, take longer to evaluate. They claim reviewers of grants complain this is more time consuming, refuse to review, or google hard criteria such as IF.
A list of papers and journals can ofc be helpful, but I don't think anybody is arguing against this. We are saying that the IF itself is not a very useful metric. Narrative CVs seems like a strawman here.

The authors also argue that focusing on team science "encourages further arbitrariness in the assessment" (in addition to the narrative CV). I see that: it will be difficult to properly measure team-ness, and it will be challenging to compare this across fields.
I want to add that I am also concerned that we keep broadening the list of things academics are evaluated on. But most of academia relies on collabs; I generally like the idea to encourage this (as well as good mentorship, collegiality, etc).

Then the authors say that big funders (e.g. Dutch NWO) should focus funding the best research (supposedly steered by pubs in high IF journals), whereas it is the responsibility of universities to take care of folks who teach, publish in lower IF journals, etc. Image
I disagree: funders have an important role in changing the academic landscape, and a lot of important #openaccess changes at universities come from changes at funders. @wellcometrust has shown how it is done, so has @NWONieuws, in part.
The authors conclude that new reward and recognition policies are just that: policies. They have little to do with science, similar to #openscience reforms generally.

Again, I really disagree with that.
Transparency, honestly, & accountability—central pillars of the open science reform—are literally enshrined in the code of conduct for Dutch researchers.
The piece ends with (translated) "Research in the medical, life and exact sciences is highly competitive and highly dependent on funding from NWO [..] We want researchers to optimize themselves for doing the best science, not for writing the best story."
I'm just going to leave that statement as it is. End 🧵
PS: follow @brembs, an incredibly knowledgeable scholar when it comes to the IF.

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More from @EikoFried

22 Jul
There is a broad coalition in 🇳🇱 academia trying to improve the status quo.

Not surprisingly, there were quick responses to a number of recent pieces pushing back against reforms. You can find these rebuttals here. 🧵
1. "Science is NOT like competitive sports."(🇬🇧)
By @YALeiden members & colleagues at @UniLeiden.

voicesyoungacademics.nl/articles/scien…
2. "We need to get rid of numeracy in science."(🇳🇱)
By a coalition of early career scholars. You can sign the document at the bottom.

scienceguide.nl/2021/07/we-moe…
Read 4 tweets
19 Apr
1/ National Institute for Health & Care Excellence does not recommend #esketamine to treat #depression bc effectiveness unclear (low quality trials), problematic economic model (short-term treatment, depression lasts long). Cost/benefit not sufficient to recommend treatment.
2/ Here the recommendation (nice.org.uk/consultations/…).

Thanks for @PloederlM for sharing.
3/ Agreed that published literature is low quality. Samples are generally too small to draw inferences from the samples to the population; there are recent studies without placebo groups (how does that even get funded in 2020); when placebo groups exist, they are often not >>
Read 5 tweets
10 Apr
"Hans-Ulrich Wittchen .. is under fire after an investigation into one of his studies found evidence of manipulation—and elaborate efforts to cover up the misdeed. The investigation report .. also shows Wittchen intimidated whistleblowers"

science.sciencemag.org/content/372/65…
(I haven't vetted this, and cannot access the full paywalled article on my phone; just sharing because it may be of interest to others)
April 2019 article about this topic (in German)

sueddeutsche.de/gesundheit/med…
Read 4 tweets
9 Apr
Brief comment on the new "breakthrough study" on #depression blood tests. 🧵

TLDR: there is no blood test for depression.

neurosciencenews.com/depression-bip…
1/ A test helps to determine whether you have a feature or not.

Good tests are precise: they predict a feature well, have high sensitivity/specificity, & low false positives/negatives.
2/ Precise biological tests do not exist for the most common mental disorders. There are some weak biological correlates for depression, but a weak correlate is not a test, the same way that a weak correlate of COVID (coughing) is not a test for COVID.
Read 16 tweets
17 Mar
Happy to share our new preprint with Edwin de Beurs, in which we recommend to solve the current dilemma "So-Many-Scales-For-The-Same-Construct" (e.g. for depression) by mandating a common metric, not by mandating a common measure.🧵

psyarxiv.com/m4qzb/
We introduce the problem of scale proliferation, and how it impacts not only science, but also communication (between researchers & policy makers; between clinicians; between clinicians & clients; etc).
A harmonization proposal is to mandate specific measures (e.g. PHQ9 for depression), introduced by @wellcometrust @NIH @mirandarwolpert.

@pravpatalay & I discuss the challenges of this approach in detail here:

acamh.onlinelibrary.wiley.com/doi/full/10.11…
Read 12 tweets
14 Mar
Beavers, like all species, are convenient fiction. Thinking of beavers as true category in nature is pre-Darwinian.

Beavers, instead, are a number of animals that cluster together quite closely in an n-dimensional space on a large number of features.

Outrageous? Bear with me.🧵
What are these features? They include things like length, hairiness, intelligence, number of limbs, distance of ears to claws, and so on.

These features cluster together because they are causally related (often in complex ways).
Imagine this 2-feature plot, except with 3.7 billion features.

You can see that many elephants and many beavers clusters on 2 features. You can also see an outlier elephant (lots of hair) and an outlier beaver (exceptionally heavy). Image
Read 5 tweets

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