Zeitschriftenartikel (123)
2020
Zeitschriftenartikel
Cebrián, M. (2020). Deglobalization in a hyper-connected world. Palgrave Communications, 6, Article 28. https://doi.org/10.1057/s41599-020-0403-x
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Rahwan, I. (2020). Machine thinking, fast and slow. Trends in Cognitive Sciences, 24(12), 1019–1027. https://doi.org/10.1016/j.tics.2020.09.007
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Obradovich, N., & (2020). Identification and characterization of tweets related to the 2015 Indiana HIV outbreak: A retrospective infoveillance study. PLoS ONE, 15(8), Article e0235150. https://doi.org/10.1371/journal.pone.0235150
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Obradovich, N., & (2020). Characterising communities impacted by the 2015 Indiana HIV outbreak: A big data analysis of social media messages associated with HIV and substance abuse. Drug and Alcohol Review, 39(7), 908–913. https://doi.org/10.1111/dar.13091
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Rahwan, I. (2020). Who gets credit for AI-generated art? iScience, 23(9), Article 101515. https://doi.org/10.1016/j.isci.2020.101515
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Hong, I., , Rahwan, I., , & (2020). The universal pathway to innovative urban economies. Science Advances, 6(34), Article eaba4934. https://doi.org/10.1126/sciadv.aba4934
Zeitschriftenartikel
Patil, I., & (2020). Extracting, computing and exploring the parameters of statistical models using R. Journal of Open Source Software, 5(53), Article 2445. https://doi.org/10.21105/joss.02445
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Obradovich, N. (2020). Using remarkability to define coastal flooding thresholds. Nature Communications, 11, Article 530. https://doi.org/10.1038/s41467-019-13935-3
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Pescetelli, N., Cebrian, M., & Rahwan, I. (2020). BeeMe: Real-time internet control of situated human agents. Computer, 53(8), 49–58. https://doi.org/10.1109/MC.2020.2996824
Zeitschriftenartikel
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