DALL-E, a new image generation system by OpenAI, does impressive visualizations of biased datasets. I like how the first example that OpenAI used to present DALL-E to the world is a meme-like koala dunking a baseball leading into an array of old white men — representing at one blow the past and future of representation and generation.

There is a considerable halo-effect attached to JIFs, whereby an article that ends up in a high IF journal (whether by sheer brilliance or simply knowing the right editor, or both) is treated, unread, with a level of veneration normally reserved for Wunderkinder. Usually this is done by people totally oblivious to network effects, gatekeeping and institutional biases.

Lezenswaardig: een groep jonge medici ageert tegen de marketing-wedstrijd waarin volgens hen narratieve CVs in kunnen ontaarden — de nieuwste bijdrage aan het Erkennen & Waarderen-debat. Maar niets is wat het lijkt. Over evidence-based CVs, kwaliteit & kwantificatie. Eerst dit: de brief benoemt het risico dat je met narratieve CVs een soort competitie krijgt tussen verhalen.

I have other things to do but one day I’ll enlarge on the insidious effects of elevating this cursed little histogram of “Research output per year” as the single most important bit of information about academics at thousands of universities that use Elsevier Pure. Consider this mini-rant my notes for that occasion. Most importantly, we DO NOT write per year. Our careers are too diverse and precarious to measure output that way.

With Times Higher Education writing about citation gaming and hyperprolific authors (surely not unrelated) I hope we can save some of our attention for what Uta Frith and others have called slow science.

Large language models make it entirely trivial to generate endless amounts of seemingly plausible text. There’s no need to be cynical to see the virtual inevitability of unending waves of algorithmically tuned AI-generated uninformation: the market forces are in place and they will be relentless.

After much postponement, writing the final report for my NWO Veni grant (2015-2018) turned out to be an unexpected pleasure. It made me realise a couple of things — key among them the role of serendipity in shaping fundamental research. The project was called “Towards a science of linguistic depiction”. Looking at the publications that came out of it and at imperfect indicators like citations, it’s made some useful contributions.

One of the key tasks scientists need to master is how to manage bibliographic information: collecting relevant literature, building a digital library, and handling citations and bibliographies during writing. This tutorial introduces Zotero (www.zotero.org), an easy to use reference management tool made by scholars for scholars. The tutorial covers the basics of using Zotero for collecting, organizing, citing and sharing research.

Academia.edu takes your academic work and puts it behind a privacy-defying signup form, laces it with ads, botches the metadata, and tries to appease you by offering stats and social ranking that promote constant comparison. What’s not to like?

PLOS ONE notoriously and astonishingly does not have a proofs stage: authors do not get to see how their work is typeset until the very day it appears. Worse, they have a policy of only correcting formatting errors that they themselves introduce by issuing a formal correction notice — a heavyhanded method that most other journals use only for serious errors of fact or process. Unnecessary corrections hurt authors.