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2020
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Pescetelli, 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
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Rahwan, I., , & (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
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Rahwan, I., , , , & (2020). AI reflections in 2019. Nature Machine Intelligence, 2, 2–9. https://doi.org/10.1038/s42256-019-0141-1
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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
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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
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Obradovich, N., & (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
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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
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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
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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
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Rahwan, I., & (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
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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
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Rahwan, I., , , , , , , , , , , , , , , , , , , , , , & (2019). Machine behaviour. Nature, 568(7753), 477–486. https://doi.org/10.1038/s41586-019-1138-y
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Cebrian, M., & (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
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Cebrian, M., & (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
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2025
Book Chapter
Engelmann, N., & Kirfel, L. (2025). Who caused it? Different effects of statistical and prescriptive abnormality on causal selection in chains. In (Ed.), The Cambridge handbook of experimental jurisprudence (pp. 481–501). Cambridge University Press. https://doi.org/10.1017/9781009170901.032
Book Chapter
Köbis, N., & (2025). Behavioural ethics of artificial intelligence. In , , & (Eds.), Elgar encyclopedia of behavioural and experimental economics (pp. 72–75). Edward Elgar. https://doi.org/10.4337/9781802207736.00028
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Book Chapter
Müller, T. F., & (2025). Communication experiments: Social interaction in the formation of novel communication systems. In & (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
Köbis, N. (2024). Artificial intelligence (AI) (and anti-corruption). In & (Eds.), Elgar encyclopedia of corruption and society (pp. 17–22). Edward Elgar.
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Book Chapter
Dong, M. (2024). False moral superiority and heroism. In , , & (Eds.), Encyclopedia of heroism studies (pp. 585–588). Springer. https://doi.org/10.1007/978-3-031-48129-1_243
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Köbis, N., & (2024). Artificial intelligence as a weapon to fight corruption: Civil society actors on the benefits and risks of existing bottom-up approaches. In (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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