Zeitschriftenartikel (108)
2020
Zeitschriftenartikel
Rahwan, I. (2020). Crowdsourcing moral machines. Communications of the ACM, 63(3), 48–55. https://doi.org/10.1145/3339904
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Rahwan, I. (2020). Reply to: Life and death decisions of autonomous vehicles. Nature, 579(7797), E3–E5. https://doi.org/10.1038/s41586-020-1988-3
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Rahwan, I., & (2020). Universals and variations in moral decisions made in 42 countries by 70,000 participants. Proceedings of the National Academy of Sciences of the United States of America, 117(5), 2332–2337. https://doi.org/10.1073/pnas.1911517117
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Rahwan, I., & (2020). Reply to Claessens et al.: Maybe the footbridge sacrifice is indeed the only one that sends a negative social signal. Proceedings of the National Academy of Sciences of the United States of America, 117(24), 13205–13206. https://doi.org/10.1073/pnas.2007044117
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Rahwan, I. (2020). Drivers are blamed more than their automated cars when both make mistakes. Nature Human Behaviour, 4, 134–143. https://doi.org/10.1038/s41562-019-0762-8
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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
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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
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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
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