Big team science has the potential to reshape comparative cognition research, but its implementation — especially in making fair comparisons between species, handling multisite variation and reaching researcher consensus — poses daunting challenges. Here, we propose solutions and discuss how big team science can transform the field.
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Acknowledgements
The authors of this work are listed alphabetically with the exception of N.A. (first and corresponding author) and L.P. (last author), who coordinated and managed the preparation of the manuscript in their capacity as co-leads of the ManyManys 1 BTS collaboration. The authors are deeply grateful to H. Killam for creating the original version of the image featured in the manuscript. The authors were supported by the following fellowships and grants: FRQSC Postdoctoral Fellowship (B3Z, no. 333109) (N.A.), British Academy PF20\100086 (D.A.), NSF BCS 2127375 (S.F.B.), Open Philanthropy (L.C.), Leverhulme Early-Career Research Fellowship (M.E.), National Science Foundation Award no. 2209046 (J.E.), ERC-2020-ADG, AVIAN MIND, LS5, GA no. 101021354 (O.G.), National Biodiversity Future Center—NBFC, “NextGenerationEU” (Mission 4 Component 2 Investment 1.4—Project code CN_00000033, CUP J83C22000860007) (V.M.), The Sense Innovation and Research Center, Lausanne and Sion (no. CFP2023_WLDC), USB Postdoctoral Fellowship (V.Š.), UDLA Grant 483.A.XIV.24 (J.Y.), NIH NICHD F32HD110174 (M.Z.) and K-INBRE P20 GM103418 (L.P.).
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Alessandroni, N., Altschul, D., Baumgartner, H.A. et al. Challenges and promises of big team comparative cognition. Nat Hum Behav 9, 240–242 (2025). https://doi.org/10.1038/s41562-024-02081-6
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DOI: https://doi.org/10.1038/s41562-024-02081-6