Journal Article (154)

2020
Journal Article
Pescetelli, N., & Yeung, N. (2020). The effects of recursive communication dynamics on belief updating. Proceedings of the Royal Society of London: B, Biological Sciences, 287(1931), Article 20200025. https://doi.org/10.1098/rspb.2020.0025
Journal Article
Rahwan, I., Crandall, J. W., & Bonnefon, J.-F. (2020). Intelligent machines as social catalysts. Proceedings of the National Academy of Sciences of the United States of America, 117(14), 7555–7557. https://doi.org/10.1073/pnas.2002744117
Journal Article
Rich, A. S., Rudin, C., Jacoby, D. M. P., Freeman, R., Wearn, O. R., Shevlin, H., Dihal, K., ÓhÉigeartaigh, S. S., Butcher, J., Lippi, M., Palka, P., Torroni, P., Wongvibulsin, S., Begoli, E., Schneider, G., Cave, S., Sloane, M., Moss, E., Rahwan, I., Goldberg, K., Howard, D., Floridi, L., & Stilgoe, J. (2020). AI reflections in 2019. Nature Machine Intelligence, 2, 2–9. https://doi.org/10.1038/s42256-019-0141-1
Journal Article
Roy, K. C., Hasan, S., Sadri, A. M., & Cebrian, M. (2020). Understanding the efficiency of social media based crisis communication during hurricane Sandy. International Journal of Information Management, 52, Article 102060. https://doi.org/10.1016/j.ijinfomgt.2019.102060
Journal Article
Sadri, A. M., Hasan, S., Ukkusuri, S. V., & Cebrian, M. (2020). Exploring network properties of social media interactions and activities during Hurricane Sandy. Transportation Research Interdisciplinary Perspectives, 6, Article 100143. https://doi.org/10.1016/j.trip.2020.100143
Journal Article
Wang, J., Obradovich, N., & Zheng, S. (2020). A 43-million-person investigation into weather and Expressed sentiment in a changing climate. One Earth, 2(6), 568–577. https://doi.org/10.1016/j.oneear.2020.05.016
2019
Journal Article
Bonnefon, J.-f, Shariff, A., & Rahwan, I. (2019). The trolley, the bull bar, and why engineers should care about the ethics of autonomous cars. Proceedings of the IEEE, 107(3), 502–504. https://doi.org/10.1109/JPROC.2019.2897447
Journal Article
Frank, M. R., Autor, D., Bessen, J. E., Brynjolfsson, E., Cebrian, M., Deming, D. J., Feldman, M., Groh, M., Lobo, J., Moro, E., Wang, D., Youn, H., & Rahwan, I. (2019). Toward understanding the impact of artificial intelligence on labor. Proceedings of the National Academy of Sciences of the United States of America, 116(14), 6531–6539. https://doi.org/10.1073/pnas.1900949116
Journal Article
Frank, M. R., Wang, D., Cebrian, M., & Rahwan, I. (2019). The evolution of citation graphs in artificial intelligence research. Nature Machine Intelligence, 1, 79–85. https://doi.org/10.1038/s42256-019-0024-5
Journal Article
Ishowo-Oloko, F., Bonnefon, J.-F., Soroye, Z., Crandall, J., Rahwan, I., & Rahwan, T. (2019). Behavioural evidence for a transparency–efficiency tradeoff in human–machine cooperation. Nature Machine Intelligence, 1, 517–521. https://doi.org/10.1038/s42256-019-0113-5
Journal Article
Obradovich, N., & Rahwan, I. (2019). Risk of a feedback loop between climatic warming and human mobility. Journal of the Royal Society Interface, 16(158), Article 20190058. https://doi.org/10.1098/rsif.2019.0058
Journal Article
Rahwan, I., Cebrian, M., Obradovich, N., Bongard, J., Bonnefon, J.-F., Breazeal, C., Crandall, J. W., Christakis, N. A., Couzin, I. D., Jackson, M. O., Jennings, N. R., Kamar, E., Kloumann, I. M., Larochelle, H., Lazer, D., McElreath, R., Mislove, A., Parkes, D. C., Pentland, A. S., Roberts, M. E., Shariff, A., Tenenbaum, J. B., & Wellman, M. (2019). Machine behaviour. Nature, 568(7753), 477–486. https://doi.org/10.1038/s41586-019-1138-y
Journal Article
Roy, K. C., Cebrian, M., & Hasan, S. (2019). Quantifying human mobility resilience to extreme events using geo-located social media data. EPJ Data Science, 8, Article 18. https://doi.org/10.1140/epjds/s13688-019-0196-6
Journal Article
Xu, W., Chen, H., Frias-Martinez, E., Cebrian, M., & Li, X. (2019). The inverted U-shaped effect of urban hotspots spatial compactness on urban economic growth. Royal Society Open Science, 6(11), Article 181640. https://doi.org/10.1098/rsos.181640

Book Chapter (7)

2025
Book Chapter
Engelmann, N., & Kirfel, L. (2025). Who caused it? Different effects of statistical and prescriptive abnormality on causal selection in chains. In K. Tobia (Ed.), The Cambridge handbook of experimental jurisprudence (pp. 481–501). Cambridge University Press. https://doi.org/10.1017/9781009170901.032
Book Chapter
Irlenbusch, B., Köbis, N., & Rilke, R. M. (2025). Behavioural ethics of artificial intelligence. In S.-H. Chuah, R. Hoffmann, & A. Neelim (Eds.), Elgar encyclopedia of behavioural and experimental economics (pp. 72–75). Edward Elgar. https://doi.org/10.4337/9781802207736.00028
Book Chapter
Müller, T. F., & Raviv, L. (2025). Communication experiments: Social interaction in the formation of novel communication systems. In L. Raviv & C. Boeckx (Eds.), The Oxford handbook of approaches to language evolution (pp. 41–62). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780192886491.013.4
2024
Book Chapter
Bersch, C., & Köbis, N. (2024). Artificial intelligence (AI) (and anti-corruption). In L. De Sousa & S. Coroado (Eds.), Elgar encyclopedia of corruption and society (pp. 17–22). Edward Elgar.
Book Chapter
Dong, M. (2024). False moral superiority and heroism. In S. T. Allison, J. K. Beggan, & G. R. Goethals (Eds.), Encyclopedia of heroism studies (pp. 585–588). Springer. https://doi.org/10.1007/978-3-031-48129-1_243
Book Chapter
Forjan, J., Köbis, N., & Starke, C. (2024). Artificial intelligence as a weapon to fight corruption: Civil society actors on the benefits and risks of existing bottom-up approaches. In A. Mattoni (Ed.), Digital media and grassroots anti-corruption: Contexts, platforms and data of anti-corruption technologies worldwide (pp. 229–249). Edward Elgar Publishing. https://doi.org/10.4337/9781802202106.00020
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