Publications

Awad, E., Bago, B., Bonnefon, J.-F., Christakis, N. A., Rahwan, I., & Shariff, A. (2022). Polarized citizen preferences for the ethical allocation of scarce medical resources in 20 countries. MDM Policy & Practice, 7(2). https://doi.org/10.1177/23814683221113573

Awad, E., Levine, S., Anderson, M., Anderson, S. L., Conitzer, V., Crockett, M. J., Everett, J. A. C., Evgeniou, T., Gopnik, A., Jamison, J. C., Kim, T. W., Liao, S. M., Meyer, M. N., Mikhail, J., Opoku-Agyemang, K., Schaich Borg, J., Schroeder, J., Sinnott-Armstrong, W., Slavkovik, M., & Tenenbaum, J. B. (2022). Computational ethics. Trends in Cognitive Sciences, 26(5), 388–405. https://doi.org/10.1016/j.tics.2022.02.009

Belova, A., Gould, C. A., Munson, K., Howell, M., Trevisan, C., Obradovich, N., & Martinich, J. (2022). Projecting the suicide burden of climate change in the United States. GeoHealth, 6(5), Article e2021GH000580. https://doi.org/10.1029/2021GH000580

Brinkmann, L., Gezerli, D., Kleist, K. V., Müller, T. F., Rahwan, I., & Pescetelli, N. (2022). Hybrid social learning in human-algorithm cultural transmission. Philosophical Transactions of the Royal Society of London: A, Mathematical, Physical and Engineering Sciences, 380(2227), Article 20200426. https://doi.org/10.1098/rsta.2020.0426

Chen, H. C., Li, X., Frank, M., Qin, X., Xu, W., Cebrian, M., & Rahwan, I. (2022). Automation impacts on China’s polarized job market. Journal of Computational Social Science, 5, 517–535. https://doi.org/10.1007/s42001-021-00134-8

Dong, M., van Prooijen, J.-W., Wu, S., & van Lange, P. A. M. (2022). Culture, status, and hypocrisy: High-status people who don't practice what they preach are viewed as worse in the United States than China. Social Psychological and Personality Science, 13(1), 60–69. https://doi.org/10.1177/1948550621990451

Köbis, N., Starke, C., & Rahwan, I. (2022). The promise and perils of using artificial intelligence to fight corruption. Nature Machine Intelligence, 4, 418–424. https://doi.org/10.1038/s42256-022-00489-1

Liu, C., Xie, Y., Hao, Y., Zhang, W., Yang, L., Bu, J., Wei, Z., Wu, H., Pescetelli, N., & Zhang, X. (2022). Using multisession tDCS stimulation as an early intervention on memory bias processing in subthreshold depression. Psychophysiology. Advance online publication. https://doi.org/10.1111/psyp.14148

Minor, K., Bjerre-Nielsen, A., Jonasdottir, S. S., Lehmann, S., & Obradovich, N. (2022). Rising temperatures erode human sleep globally. One Earth, 5(5), 534–549. https://doi.org/10.1016/j.oneear.2022.04.008

Morin, O., Müller, T. F., Morisseau, T., & Winters, J. (2022). Cultural evolution of precise and agreed-upon semantic conventions in a multiplayer gaming app. Cognitive Science, 46(2), Article e13113. https://doi.org/10.1111/cogs.13113

Obradovich, N., Özak, Ö., Martín, I., Ortuño-Ortín, I., Awad, E., Cebrián, M., Cuevas, R., Desmet, K., Rahwan, I., & Cuevas, Á. (2022). Expanding the measurement of culture with a sample of two billion humans. Journal of the Royal Society Interface, 19(190), Article 20220085. https://doi.org/10.1098/rsif.2022.0085

Pescetelli, N., Barkoczi, D., & Cebrian, M. (2022). Bots influence opinion dynamics without direct human-bot interaction: The mediating role of recommender systems. Applied Network Science, 7, Article 46. https://doi.org/10.1007/s41109-022-00488-6

Pescetelli, N., Reichert, P., & Rutherford, A. (2022). A variational-autoencoder approach to solve the hidden profile task in hybrid human-machine teams. PLoS ONE, 17(8), Article e0272168. https://doi.org/10.1371/journal.pone.0272168

Serna, I., Morales, A., Fierrez, J., & Obradovich, N. (2022). Sensitive loss: Improving accuracy and fairness of face representations with discrimination-aware deep learning. Artificial Intelligence, 305, Article 103682. https://doi.org/10.1016/j.artint.2022.103682

Wang, J., Fan, Y., Palacios, J., Chai, Y., Guetta-Jeanrenaud, N., Obradovich, N., Zhou, C., & Zheng, S. (2022). Global evidence of expressed sentiment alterations during the COVID-19 pandemic. Nature Human Behaviour, 6, 349–358. https://doi.org/10.1038/s41562-022-01312-y

Yu, H., Zhou, Y., & Nussberger, A.-M. (2022). Gratitude is morally sensitive. Personality and Social Psychology Bulletin. Advance online publication. https://doi.org/10.1177/01461672221092273

Avraam, D., Obradovich, N., Pescetelli, N., Cebrian, M., & Rutherford, A. (2021). The network limits of infectious disease control via occupation-based targeting. Scientific Reports, 11, Article 22855. https://doi.org/10.1038/s41598-021-02226-x

Bassett, J., Gethmann, J., Blunk, P., Conraths, F. J., & Hövel, P. (2021). Individual-based model for the control of Bovine Viral Diarrhea spread in livestock trade networks. Journal of Theoretical Biology, 527, Article 110820. https://doi.org/10.1016/j.jtbi.2021.110820

Bassett, J., Pescetelli, N., Rutherford, A., & Cebrian, M. (2021). Time-critical decentralised situational awareness in emergencies: An adversarial biosecurity scenario. Applied Network Science, 6, Article 59. https://doi.org/10.1007/s41109-021-00402-6

Cebrian, M. (2021). The past, present and future of digital contact tracing. Nature Electronics, 4, 2–4. https://doi.org/10.1038/s41928-020-00535-z