09 October 2024

“Equal contribution” statements don’t mean much: Nobel prize edition

This is not a post about the Nobel prizes. It is a post about authorship.

The Nobel Prize for chemistry was given two people for protein folding. I told students in my introductory biology classes for years that whoever could solve that problem should book a ticket to Stockholm, because it would get a Nobel, and I’m pleased to see I was right on that count.

Screenshot of Nature article "Highly accurate protein structure prediction with AlphaFold" with expanded credit showing that 19 authors were credited as making equal contributions to the paper.
On Bluesky, Michael Hoffman pointed out that the key paper about AlphaFold has an equal contribution statement:

(T)he AlphaFold paper has 19 authors who “contributed equally” but only two of them (Demis Hassabis and John M. Jumper - ZF) get part of the Nobel Prize 🤔 

So why those two people out of all the 19 who made, allegedly, equal contributions? The paper has a “Contributions” statement:

J.J. and D.H. led the research.

I don’t think there has ever been a clearer demonstration that “equal contribution” statements don’t mean much of anything except to maybe the people involved. And their relatives.

Also worth noting that in the 19 equal contributions were, I believe, two women. (Guess based on given names, which is not ideal, I know. Still.)

More generally, authorship is a terrible way of assigning credit. I have, and will continue to, argue that the CRediT system of identifying specific contributions should be adopted just across the board.

References

Jumper J, Evans R, Pritzel A, Green T, Figurnov M, Ronneberger O, Tunyasuvunakool K, Bates R, Žídek A, Potapenko A, Bridgland A, Meyer C, Kohl SAA, Ballard AJ, Cowie A, Romera-Paredes B, Nikolov S, Jain R, Adler J, Back T, Petersen S, Reiman D, Clancy E, Zielinski M, Steinegger M, Pacholska M, Berghammer T, Bodenstein S, Silver D, Vinyals O, Senior AW, Kavukcuoglu K, Kohli P,  Hassabis D. 2021. Highly accurate protein structure prediction with AlphaFold. Nature 596: 583–589. https://doi.org/10.1038/s41586-021-03819-2

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