iiinova — where your digital self keeps evolving

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Sylvia Wenmackers @sylviawenmackers.be · 23/09/2026

De Wereld van Sofie hoorde dat wiskundigen dobbelstenen hebben gemaakt waarmee je met één worp kunt bepalen wie een spel mag beginnen. Een nutteloze uitvinding, vonden ze. Ik mocht vertellen over het nut van schijnbaar nutteloos onderzoek. Vanaf 39:07: www.vrt.be/vrtmax/luist...

vrt.be

De wereld van Sofie - woensdag 23 september 2026 om 10:00 | VRT MAX

De wereld van Sofie - Beluister De wereld van Sofie met VRT MAX via de site of app.

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Sylvia Wenmackers @sylviawenmackers.be · 19/09/2026

Column voor Eos: Dat mag niet! Over de Doomsday-formule, delen door nul en extrapolaties. www.sylviawenmackers.be/blog/2026091...

Foto van de column, met citaat: "Ik kwam erachter dat sommige wetenschappers het nog steeds proberen: delen door nul". Link naar volledige tekst staat in de skeet.

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VSC | Vlaams Supercomputer Centrum @vschpc.bsky.social · 16/09/2026

🔬 RESEARCH SHOWCASE | Is scientific research really becoming less disruptive? VUB & KU Leuven researchers uncovered how missing citation data exaggerated the reported decline, using VSC high-memory computing to analyse millions of papers. 👉 www.vscentrum.be/post/a-hidde... #HPC #Research

vscentrum.be

A hidden peak behind the decline in scientific disruption

A new Nature study by researchers from VUB and KU Leuven challenges the reported decline in scientific disruption. Using VSC’s high-memory CPU nodes to analyse citation networks with hundreds of milli...

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Sylvia Wenmackers @sylviawenmackers.be · 07/09/2026

Regarding bias, see @andresalgaba.bsky.social et al.: - "Large language models reflect human citation patterns with a heightened citation bias" aclanthology.org/2025.finding... - "How deep do large language models internalize scientific literature and citation practices?" doi.org/10.1162/QSS....

aclanthology.org

Large Language Models Reflect Human Citation Patterns with a Heightened Citation Bias

Andres Algaba, Carmen Mazijn, Vincent Holst, Floriano Tori, Sylvia Wenmackers, Vincent Ginis. Findings of the Association for Computational Linguistics: NAACL 2025. 2025.

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Sylvia Wenmackers @sylviawenmackers.be · 01/09/2026

First author of the critique @vincentholst.bsky.social presented "How Open Code and Data Unveiled Errors in Measuring Scientific Disruption" at STI 2024 in Berlin. Slides available here: data.research.vub.be/sites/defaul... Yes, we firmly agree on the importance of open science in these matters! 🔓

data.research.vub.be

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The Economist @economist.com · 19/08/2026

The extent to which new scientific papers and patents shake up their fields has been hotly debated in recent years. A new paper adds another layer of complexity to the argument

bit.ly

Maybe scientific progress isn’t slowing, after all

A new paper takes aim at the claim that science has become less disruptive

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Maria Antoniak @mariaa.bsky.social · 17/07/2025

Is disruption in science decreasing? Maybe not... "Due to a factual plotting mistake, database entries with zero references were omitted in the CD index distributions, hiding a large number of outliers with a maximum CD index of one, while keeping them in the analysis" the classic Seaborn bug 🫣

arxiv.org

Dataset Artefacts are the Hidden Drivers of the Declining Disruptiveness in Science

Park et al. [1] reported a decline in the disruptiveness of scientific and technological knowledge over time. Their main finding is based on the computation of CD indices, a measure of disruption in c...

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Kris Willis @kawillis.bsky.social · 16/06/2026

Vincent Ginis has shared a pretty compelling demonstration (at least I think so) that the original result is basically an artifact; you can replicate the "decline" with random citation behavior arxiv.org/abs/2402.14583

arxiv.org

Dataset Artefacts are the Hidden Drivers of the Declining Disruptiveness in Science

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Centre for Logic and Philosophy of Science (CLPS) @clpskuleuven.bsky.social · 14/08/2026

New article in @nature.com by @sylviawenmackers.be & a great team of collaborators: the widely reported finding that disruptive science is in decline may be explained by dataset artefacts. Check out the 🧵 by @vincentholst.bsky.social 👇 www.nature.com/articles/s41... #philsci #academicsky #metasci

nature.com

Dataset artefacts can partially drive the measured decline in disruption - Nature

Nature - Dataset artefacts can partially drive the measured decline in disruption

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Sylvia Wenmackers @sylviawenmackers.be · 14/08/2026

There are more things to address, but we have started collecting some Q&As online: vincentholst.github.io/the_curious_...

vincentholst.github.io

The Curious Case of the Declining Disruption’s Disappearance

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vincentholst.bsky.social @vincentholst.bsky.social · 13/08/2026

Shoutout to my co-authors @andresalgaba.bsky.social, FlorianoTori, @sylviawenmackers.be, and @vincentginis.bsky.social. This entire saga required incredible teamwork. Full paper, code, and data below Paper: rdcu.be/fzwzq Code: github.com/VincentHolst... Data: zenodo.org/records/1512... 8/8

rdcu.be

Dataset artefacts can partially drive the measured decline in disruption

Nature - Dataset artefacts can partially drive the measured decline in disruption

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vincentholst.bsky.social @vincentholst.bsky.social · 13/08/2026

In 2023, @nature.com published 'Papers and patents are becoming less disruptive over time', receiving world-wide media attention. Our Matters Arising, published after a 32 month delay (more on that soon), shows that the reported decline can largely be attributed to dataset artefacts. 🧵

The average CD_5 index per year for Web of Science. The original Park et al. decline (top curve) becomes essentially flat (bottom curve) when removing papers with CD_5=1. Those papers largely correspond to dataset artefacts.

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vincentholst.bsky.social @vincentholst.bsky.social · 14/08/2026

As promised, we now share some details why it took 32 months to get this Matters Arising published, and, since many asked, share some comments on the reply to our critique. All details can be found in this small FAQ vincentholst.github.io/the_curious_.... Below is a summary 🧵

vincentholst.github.io

The Curious Case of the Declining Disruption’s Disappearance

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Vincent Ginis @vincentginis.bsky.social · 14/08/2026

Happy to see our work, published in Nature (rdcu.be/fzwzq), picked up by The Economist. We made a page where we answer the most pressing questions publicly. The Curious Case of the Declining Disruption's Disappearance (vincentholst.github.io/the_curious_...). Open Science meets Brandolini.

rdcu.be

Dataset artefacts can partially drive the measured decline in disruption

Nature - Dataset artefacts can partially drive the measured decline in disruption

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Sylvia Wenmackers @sylviawenmackers.be · 12/08/2026

It was quite an adventure to be part of this research! Our findings are published today by Nature: rdcu.be/fzwzq Congratulations to Vincent Holst, who found the initial error, and to the rest of the team @andresalgaba.bsky.social, Floriano Tori, and @vincentginis.bsky.social - aka team CSI Academia.

rdcu.be

Dataset artefacts can partially drive the measured decline in disruption

Nature - Dataset artefacts can partially drive the measured decline in disruption

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martheballon.bsky.social @martheballon.bsky.social · 24/02/2025

LLMs are getting really good at reasoning, but mechanisms behind it are poorly understood. In our recent paper, we investigated SOTA models and found that 'Thinking harder ≠ thinking longer'! Joint work with @andresalgaba.bsky.social @vincentginis.bsky.social Insights of our research (A thread):

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