Center for Humans and Machines
Publications 2020-2022/23

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

Czaplicka, A., Charalambous, C., Toral, R., & Miguel, M. S. (2022). Biased-voter model: How persuasive a small group can be? Chaos, Solitons, & Fractals, 161, Article 112363. https://doi.org/10.1016/j.chaos.2022.112363

Dong, M., van Prooijen, J.-W., & van Lange, P. A. M. (2022). Strategic exploitation by higher-status people incurs harsher third-party punishment. Social Psychology, 53(4), 209–220. https://doi.org/10.1027/1864-9335/a000493

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

Klockmann, V., von Schenk, A., & Villeval, M. C. (2022). Artificial intelligence, ethics, and intergenerational responsibility. Journal of Economic Behavior & Organization, 203, 284–317. https://doi.org/10.1016/j.jebo.2022.09.010

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, 60(1), Article e14148. 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

Nussberger, A.-M., Luo, L., Celis, L. E., & Crockett, M. J. (2022). Public attitudes value interpretability but prioritize accuracy in artificial intelligence. Nature Communications, 13, Article 5821. https://doi.org/10.1038/s41467-022-33417-3

Obradovich, N., & Minor, K. (2022). Identifying and preparing for the mental health burden of climate change [Editorial]. JAMA Psychiatry, 79(4), 285–286. https://doi.org/10.1001/jamapsychiatry.2021.4280

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

Romanello, M., Di Napoli, C., Drummond, P., Green, C., Kennard, H., Lampard, P., Scamman, D., Arnell, N., Ayeb-Karlsson, S., Berrang Ford, L., Belesova, K., Bowen, K., Cai, W., Callaghan, M., Campbell-Lendrum, D., Chambers, J., van Daalen, K. R., Dalin, C., Dasandi, N., Dasgupta, S., Davies, M., Dominguez-Salas, P., Dubrow, R., Ebi, K. L., Eckelman, M., Ekins, P., Escobar, L. E., Georgeson, L., Graham, H., Gunther, S. H., Hamilton, I., Hang, Y., Hänninen, R., Hartinger, S., He, K., Hess, J. J., Hsu, S.-C., Jankin, S., Jamart, L., Jay, O., Kelman, I., Kiesewetter, G., Kinney, P., Kjellstrom, T., Kniveton, D., Lee, J. K. W., Lemke, B., Liu, Y., Liu, Z., Lott, M., Lotto Batista, M., Lowe, R., MacGuire, F., Odhiambo Sewe, M., Martinez-Urtaza, J., Maslin, M., McAllister, L., McGushin, A., McMichael, C., Mi, Z., Milner, J., Minor, K., Minx, J. C., Mohajeri, N., Moradi-Lakeh, M., Morrissey, K., Munzert, S., Murray, K. A., Neville, T., Nilsson, M., Obradovich, N., O’Hare, M. B., Oreszczyn, T., Otto, M., Owfi, F., Pearman, O., Rabbaniha, M., Robinson, E. J. Z., Rocklöv, J., Salas, R. N., Semenza, J. C., Sherman, J. D., Shi, L., Shumake-Guillemot, J., Silbert, G., Sofiev, M., Springmann, M., Stowell, J., Tabatabaei, M., Taylor, J., Triñanes, J., Wagner, F., Wilkinson, P., Winning, M., Yglesias-González, M., Zhang, S., Gong, P., Montgomery, H., & Costello, A. (2022). The 2022 report of the Lancet Countdown on health and climate change: Health at the mercy of fossil fuels. The Lancet, 400(10363), 1619–1654. https://doi.org/10.1016/S0140-6736(22)01540-9

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

Waniek, M., Holme, P., Farrahi, K., Emonet, R., Cebrian, M., & Rahwan, T. (2022). Trading contact tracing efficiency for finding patient zero. Scientific Reports, 12, Article 22582. https://doi.org/10.1038/s41598-022-26892-7

Khajehnejad, A., Khajehnejad, M., Babaei, M., Gummadi, K., Weller, A., & Mirzasoleimanbarzi, B. (2022). CrossWalk: Fairness-enhanced node representation learning. In Proceedings of the 36th AAAI Conference on Artificial Intelligence (pp. 11963–11970). AAAI Press. https://doi.org/10.1609/aaai.v36i11.21454

Pescetelli, N., Barkoczi, D., & Cebrian, M. (2022). Indirect causal influence of a single bot on opinion dynamics through a simple recommendation algorithm. In R. M. Benito, C. Cherifi, H. Cherifi, E. Moro, L. M. Rocha, & M. Sales-Pardo (Eds.), Complex networks & their applications X: Vol. 2. Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021 (pp. 28–41). Springer. https://doi.org/10.1007/978-3-030-93413-2_3