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NeuroLibre: Taking papers to their logical conclusion�

Nikola Stikov�

École Polytechnique/Montreal Heart Institute

University of Montreal�

Center for Advanced Interdisciplinary Research

University Ss Cyril and Methodius

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Close to nothing of what makes science actually work is published as text on the web

https://markusstrasser.org/extracting-knowledge-from-literature/

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Prompt: Artificial intelligence swallowing an academic article, Banksy style. AI image generated by DALL-E

�

https://qantarot.substack.com/p/chatgpt-and-galactica-are-taking

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Taking papers to their logical conclusion

Prompt: Artificial intelligence eating a word salad and outputting an academic paper, digital art. AI image generated by DALL-E�

This is not necessarily a bad thing. As science is getting more computational, papers will either evolve or die. Either way, the academic article of the future will be nothing like the 10-page word salads that AI now so successfully emulates. The question is what will become of the academic paper once you take away the prose?

https://qantarot.substack.com/p/chatgpt-and-galactica-are-taking

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A typical figure in Nature

Nicolas Andry

L'orthopédie (1741)

~300 years later

FIGURES

Slide courtesy of Agâh Karakuzu

WHAT REMAINS WHEN YOU TAKE AWAY THE PROSE?

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THE DATA

THE CODE

THE �PROVENANCE

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Scientific director: Alan Evans

Patrick Bermudez

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This is the title and subtitle of the presentation

With any other additional information you’d like to add

Agah Karakuzu

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Agah Karakuzu

NeuroLibre.org

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NeuroLibre

A sprout of living publications

Open Journals

NeuroLibre.org

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12 / 15

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Layer 1:�

A PDF compatible document

NeuroLibre

https://neurolibre.org/papers/10.55458/neurolibre.00019

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You can

observe the

actual data points

Layer 2:

​

Dynamic

figures

NeuroLibre

https://neurolibre.org/papers/10.55458/neurolibre.00019

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You can

explore the phenomenon.

You can

interact with

the real-world data.

Layer 3:

​

Interactivity

NeuroLibre

https://neurolibre.org/papers/10.55458/neurolibre.00019

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You can

SEE THE CODE that

generates the

outputs.

Layer 4:

​

Transparency

NeuroLibre

https://neurolibre.org/papers/10.55458/neurolibre.00019

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You can

RUN the code that

generates the

outputs.

Layer 5:

​

Reproducibility

NeuroLibre

https://neurolibre.org/papers/10.55458/neurolibre.00019

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Online-executable interactive figures

https://neurolibre.github.io/myelin-meta-analysis

https://elifesciences.org/61523

Mancini and Karakuzu et al. (2020) eLife 10.7554/eLife.61523

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NeuroLibre

Interactive meta-analysis

Mancini, Karakuzu et al. 2020, 10.7554/eLife.61523

Myelin meta-analysis

Spreadsheets in a PDF?

Interactive plots?

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NeuroLibre

Editorial in MRM

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MR Pub

https://ismrm.github.io/mrpub/

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Magnetic Resonance in Medicine

Mathieu Boudreau

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NeuroLibre

PLOS Computational Biology

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622 articles published in 2019

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https://qantarot.substack.com/

https://preprint.neurolibre.org/10.55458/neurolibre.00014/

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nikola.stikov@polymtl.ca

@stikov on Twitter/Mastodon/Bluesky/Threads

Thank you!

Agâh Karakuzu

Pierre Bellec�Samir Das

JB Poline

Rachel Harding

Alan Evans

Mathieu Boudreau

Nadia Blostein

Julien Cohen-Adad

Eva Alonso Ortiz

Benjamin De Leener�Tommy Boshkovski

Kiril Zelenkovski

Matteo Mancini

Ilana Leppert

Bruce Pike

Jennifer Campbell

Christine Tardif

Robert Dougherty

Brian Wandell

​