Publications

Liu, P., Chu, Y., Zhai, S., Zhang, T., & Awad, E. (2025). Morality on the road: Should machine drivers be more utilitarian than human drivers? Cognition, 254, Article 106011. https://doi.org/10.1016/j.cognition.2024.106011

Abeliuk, A., Elbassioni, K., Rahwan, T., Cebrian, M., & Rahwan, I. (2024). Price of anarchy in algorithmic matching of romantic partners. ACM Transactions on Economics and Computation, 12(1), Article 2. https://doi.org/10.1145/3627985

Allen, K., Brändle, F., Botvinick, M., Fan, J. E., Gershman, S. J., Gopnik, A., Griffiths, T. L., Hartshorne, J. K., Hauser, T. U., Ho, M. K., de Leeuw, J. R., Ma, W. J., Murayama, K., Nelson, J. D., van Opheusden, B., Pouncy, T., Rafner, J., Rahwan, I., Rutledge, R. B., Sherson, J., Şimşek, Ö., Spiers, H., Summerfield, C., Thalmann, M., Vélez, N., Watrous, A. J., Tenenbaum, J. B., & Schulz, E. (2024). Using games to understand the mind. Nature Human Behaviour, 8, 1035–1043. https://doi.org/10.1038/s41562-024-01878-9

Awad, E., Levine, S., Loreggia, A., Mattei, N., Rahwan, I., Rossi, F., Talamadupula, K., Tenenbaum, J., & Kleiman-Weiner, M. (2024). When is it acceptable to break the rules? Knowledge representation of moral judgements based on empirical data. Autonomous Agents and Multi-Agent Systems, 38, Article 35. https://doi.org/10.1007/s10458-024-09667-4

Baumann, F., Czaplicka, A., & Rahwan, I. (2024). Network structure shapes the impact of diversity in collective learning. Scientific Reports, 14, Article 2491. https://doi.org/10.1038/s41598-024-52837-3

Bonnefon, J.-F., Rahwan, I., & Shariff, A. (2024). The moral psychology of artificial intelligence. Annual Review of Psychology, 75, 653–675. https://doi.org/10.1146/annurev-psych-030123-113559

Burton, J. W., Lopez-Lopez, E., Hechtlinger, S., Rahwan, Z., Aeschbach, S., Bakker, M. A., Becker, J. A., Berditchevskaia, A., Berger, J., Brinkmann, L., Flek, L., Herzog, S. M., Huang, S., Kapoor, S., Narayanan, A., Nussberger, A.-M., Yasseri, T., Nickl, P., Almaatouq, A., Hahn, U., Kurvers, R. H. J. M., Leavy, S., Rahwan, I., Siddarth, D., Siu, A., Woolley, A. W., Wulff, D. U., & Hertwig, R. (2024). How large language models can reshape collective intelligence. Nature Human Behaviour, 8, 1643–1655. https://doi.org/10.1038/s41562-024-01959-9

Capraro, V., Lentsch, A., Acemoglu, D., Akgun, S., Akhmedova, A., Bilancini, E., Bonnefon, J.-F., Brañas-Garza, P., Butera, L., Douglas, K. M., Everett, J. A. C., Gigerenzer, G., Greenhow, C., Hashimoto, D. A., Holt-Lunstad, J., Jetten, J., Johnson, S., Kunz, W. H., Longoni, C., Lunn, P., Natale, S., Paluch, S., Rahwan, I., Selwyn, N., Singh, V., Suri, S., Sutcliffe, J., Tomlinson, J., van der Linden, S., van Lange, P. A. M., Wall, F., van Bavel, J. J., & Viale, R. (2024). The impact of generative artificial intelligence on socioeconomic inequalities and policy making. PNAS Nexus, 3(6), Article pgae191. https://doi.org/10.1093/pnasnexus/pgae191

Christensen, J. F., Fernández, A., Smith, R. A., Michalareas, G., Yazdi, S. H. N., Farahi, F., Schmidt, E.-M., Bahmanian, N., & Roig, G. (2024). EMOKINE: A software package and computational framework for scaling up the creation of highly controlled emotional full‑body movement datasets. Behavior Research Methods, 56, 7498–7542. https://doi.org/10.3758/s13428-024-02433-0

Christensen, J. F., Wesseldijk, L. W., Mosing, M. A., Fayn, K., Schmidt, E.-M., Blattmann, M., Sancho-Escanero, L., & Ullén, F. (2024). The dancer personality: Comparing dancers and non-dancers in Germany and Sweden. Personality and Individual Differences, 222, Article 112603. https://doi.org/10.1016/j.paid.2024.112603

Cordes, S., Dertwinkel-Kalt, M., & Werner, T. (2024). What drives demand for loot boxes? An experimental study. Journal of Economic Behavior & Organization, 228, Article 106755. https://doi.org/10.1016/j.jebo.2024.106755

Dong, M., van Prooijen, J.-W., & van Lange, P. A. M. (2024). Status cues and moral judgment: Formal attire induces moral favoritism but not for hypocrites. Current Psychology, 43, 19247–19263. https://doi.org/10.1007/s12144-024-05747-6

Engelmann, N., de Almeida, G. da F. C. F., de Sousa, F. O., Prochownik, K., Hannikainen, I. R., Struchiner, N., & Magen, S. (2024). Apply the laws, if they are good: Moral evaluations linearly predict whether judges should enforce the law. Cognitive Science, 48(10), Article e70001. https://doi.org/10.1111/cogs.70001

Ferreira, L. N. (2024). From time series to networks in R with the ts2net package. Applied Network Science, 9, Article 32. https://doi.org/10.1007/s41109-024-00642-2

Frank, M. R., Moro, E., South, T., Rutherford, A., Pentland, A., Taska, B., & Rahwan, I. (2024). Network constraints on worker mobility. Nature Cities, 1, 94–104. https://doi.org/10.1038/s44284-023-00009-1

Leib, M., Köbis, N., Rilke, R. M., Hagens, M., & Irlenbusch, B. (2024). Corrupted by algorithms? How AI-generated and human-written advice shape (dis)honesty. The Economic Journal, 134(658), 766–784. https://doi.org/10.1093/ej/uead056

Pérez, J., Castro, M., Awad, E., & López, G. (2024). Generation of probabilistic synthetic data for serious games: A case study on cyberbullying. Knowledge-Based Systems, 286, Article 111440. https://doi.org/10.1016/j.knosys.2024.111440

Purcell, Z. A., Dong, M., Nussberger, A.-M., Köbis, N., & Jakesch, M. (2024). People have different expectations for their own versus others' use of AI-mediated communication tools. British Journal of Psychology. Advance online publication. https://doi.org/10.1111/bjop.12727

Schmidt, E.-M., Bonati, S., Köbis, N., & Soraperra, I. (2024). GPT-3.5 altruistic advice is sensitive to reciprocal concerns but not to strategic risk. Scientific Reports, 14, Article 22274. https://doi.org/10.1038/s41598-024-73306-x

Starke, C., Ventura, A., Bersch, C., Cha, M., de Vreese, C., Doebler, P., Dong, M., Krämer, N., Leib, M., Peter, J., Schäfer, L., Soraperra, I., Szczuka, J., Tuchtfeld, E., Wald, R., & Köbis, N. (2024). Risks and protective measures for synthetic relationships. Nature Human Behaviour, 8, 1834–1836. https://doi.org/10.1038/s41562-024-02005-4