A semantic-based community model for high-fidelity tuning of olfactory mixture distances

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V. Satarifard, L. Sisson, Y. Han, P. Ilídio, M. Hladiš, M. Lalis, X. Song, T. Yang, W. Yin, A. Ravia, C.X. Zheng, G. Andreoletti, J. Albrecht, R. Pellegrino, Z. Wang, S. Yang, R. D’hondt, A. Ghinis, J. de Boer, F.K. Nakano, A. Gharahighehi, J.M.G. Vilar, L. Saiz, D.O.M.P.C. , B. Sanchez-Lengeling, A. Keller, L.B. Vosshall, S. Fiorucci, A. Tewari, J. Topin, C. Vens, M. Björkman, D. Kragic, N. Sobel, N.A. Christakis, J.D. Mainland, & P. Meyer, A semantic-based community model for high-fidelity tuning of olfactory mixture distances, Proc. Natl. Acad. Sci. U.S.A. 123 (32) e2611057123, https://doi.org/10.1073/pnas.2611057123 (2026).

On the optimal integration of intelligent agents into network systems to steer cooperation

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Fu F, Chen X, Christakis NA. On the optimal integration of intelligent agents into network systems to steer cooperation. Proc Natl Acad Sci U S A. 2026 Mar 24;123(12):e2537939123. doi: 10.1073/pnas.2537939123. Epub 2026 Mar 16. PMID: 41838917.

Realism Drives Interpersonal Reciprocity but Yields to AI-Assisted Egocentrism in a Coordination Experiment

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Hirokazu Shirado, Kye Shimizu, Nicholas A Christakis, and Shunichi Kasahara. 2025. Realism Drives Interpersonal Reciprocity but Yields to AI-Assisted Egocentrism in a Coordination Experiment. In CHI Conference on Human Factors in Computing Systems (CHI ’25), April 26–May 01, 2025, Yokohama, Japan. ACM, New York, NY

Simple Autonomous Agents Can Enhance Creative Discovery in Human Groups

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Ueshima A, Jones MI, Christakis NA. Simple autonomous agents can enhance creative semantic discovery by human groups. Nature Communications. 2024 Jun 18;15(1):5212. doi: 10.1038/s41467-024-49528-y. PMID: 38890368; PMCID: PMC11189566.