Journal Article (123)

2020
Journal Article
Balsa-Barreiro, J., Vié, A., Morales, A. J., & Cebrián, M. (2020). Deglobalization in a hyper-connected world. Palgrave Communications, 6, Article 28. https://doi.org/10.1057/s41599-020-0403-x
Journal Article
Bonnefon, J.-F., & 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
Journal Article
Cai, M., Shah, N., Li, J., Chen, W.-H., Cuomo, R. E., Obradovich, N., & Mackey, T. K. (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
Journal Article
Cuomo, R. E., Cai, M., Shah, N., Li, J., Chen, W.-H., Obradovich, N., & Mackey, T. K. (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
Journal Article
Epstein, Z., Levine, S., Rand, D. G., & Rahwan, I. (2020). Who gets credit for AI-generated art? iScience, 23(9), Article 101515. https://doi.org/10.1016/j.isci.2020.101515
Journal Article
Hong, I., Frank, M. R., Rahwan, I., Jung, W.-S., & Youn, H. (2020). The universal pathway to innovative urban economies. Science Advances, 6(34), Article eaba4934. https://doi.org/10.1126/sciadv.aba4934
Journal Article
Lüdecke, D., Ben-Shachar, M. S., Patil, I., & Makowski, D. (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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Moore, F. C., & Obradovich, N. (2020). Using remarkability to define coastal flooding thresholds. Nature Communications, 11, Article 530. https://doi.org/10.1038/s41467-019-13935-3
Journal Article
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
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
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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
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