Publications

Ben-Shachar, M. S., Patil, I., Thériault, R., Wiernik, B. M., & Lüdecke, D. (2023). Phi, Fei, Fo, Fum: Effect sizes for categorical data that use the chi‑squared statistic. Mathematics, 11(9), Article 1982. https://doi.org/10.3390/math11091982

Bonnefon, J.-F., Rahwan, I., & Shariff, A. (2023). The moral psychology of artificial intelligence. Annual Review of Psychology. Advance online publication. https://doi.org/10.1146/annurev-psych-030123-113559

Dong, M., Kupfer, T. R., Yuan, S., & van Prooijen, J.-W. (2023). Being good to look good: Self-reported moral character predicts moral double standards among reputation-seeking individuals. British Journal of Psychology, 114(1), 244–261. https://doi.org/10.1111/bjop.12608

Dorrough, A. R., Köbis, N., Irlenbusch, B., Shalvi, S., & Glöckner, A. (2023). Conditional bribery: Insights from incentivized experiments across 18 nations. Proceedings of the National Academy of Sciences of the United States of America, 120(18), Article e2209731120. https://doi.org/10.1073/pnas.220973112

Feng, X., & Rutherford, A. (2023). The dynamic resilience of urban labour networks. Royal Society Open Science, 10(7), Article 230214. https://doi.org/10.1098/rsos.230214

Huber, C., Dreber, A., Huber, J., Johannesson, M., Kirchler, M., Weitzel, U., Abellán, M., Adayeva, X., Ay, F. C., Barron, K., Berry, Z., Bönte, W., Brütt, K., Bulutay, M., Campos-Mercade, P., Cardella, E., Claassen, M. A., Cornelissen, G., Dawson, I. G. J., Delnoij, J., Demiral, E. E., Dimant, E., Doerflinger, J. T., Dold, M., Emery, C., Fiala, L., Fiedler, S., Freddi, E., Fries, T., Gasiorowska, A., Glogowsky, U., Gorny, P. M., Gretton, J. D., Grohmann, A., Hafenbrädl, S., Handgraaf, M., Hanoch, Y., Hart, E., Hennig, M., Hudja, S., Hütter, M., Hyndman, K., Ioannidis, K., Isler, O., Jeworrek, S., Jolles, D., Juanchich, M., Raghabendra , P. K. C., Khadjavi, M., Kugler, T., Li, S., Lucas, B., Mak, V., Mechtel, M., Merkle, C., Meyers, E. A., Mollerstrom, J., Nesterov, A., Neyse, L., Nieken, P., Nussberger, A.-M., Palumbo, H., Peters, K., Pirrone, A., Qin, X., Rahal, R. M., Rau, H., Rincke, J., Ronzani, P., Roth, Y., Saral, A. S., Schmitz, J., Schneider, F., Schram, A., Schudy, S., Schweitzer, M. E., Schwieren, C., Scopelliti, I., Sirota, M., Sonnemans, J., Soraperra, I., Spantig, L., Steimanis, I., Steinmetz, J., Suetens, S., Theodoropoulou, A., Urbig, D., Vorlaufer, T., Waibel, J., Woods, D., Yakobi, O., Yilmaz, O., Zaleskiewicz, T., Zeisberger, S., & Holzmeister, F. (2023). Competition and moral behavior: A meta-analysis of forty-five crowd-sourced experimental designs. Proceedings of the National Academy of Sciences of the United States of America, 120(23), Article e2215572120. https://doi.org/10.1073/pnas.2215572120

Leib, M., Köbis, N., Rilke, R. M., Hagens, M., & Irlenbusch, B. (2023). Corrupted by algorithms? How AI-generated and human-written advice shape (dis)honesty. The Economic Journal. Advance online publication. https://doi.org/10.1093/ej/uead056

Li, X., Wei, W., Zhang, R., Shi, Z., Zheng, Z., & Feng, X. (2023). Representation learning of enhanced graphs using random walk graph convolutional network. ACM Transactions on Intelligent Systems and Technology, 14(3), Article 46. https://doi.org/10.1145/3582841

Müller, T. F., Brinkmann, L., Winters, J., & Pescetelli, N. (2023). Machine impostors can avoid human detection and interrupt the formation of stable conventions by imitating past interactions: A minimal Turing test. Cognitive Science, 47(4), Article e13288. https://doi.org/10.1111/cogs.13288

Pang, B., Wei, W., Li, X., Feng, X., & Li, C. (2023). A representation-learning-based approach to predict stock price trend via dynamic spatiotemporal feature embedding. Engineering Applications of Artificial Intelligence, 126, Part A, Article 106849. https://doi.org/10.1016/j.engappai.2023.106849

Ruskeepää, H., Ferreira, L. N., Ghorbani, M. A., Kahya, E., Golmohammadi, G., & Karimi, V. (2023). Nonlinear and periodic dynamics of chaotic hydro-thermal process of Skokomish river. Stochastic Environmental Research and Risk Assessment, 37, 2739–2756. https://doi.org/10.1007/s00477-023-02416-1

Sorokowska, A., Kowal, M., Saluja, S., Aavik, T., Alm, C., Anjum, A., Asao, K., Batres, C., Bensafia, A., Bizumic, B., Boussena, M., Buss, D. M., Butovskaya, M., Can, S., Carrier, A., Cetinkaya, H., Conroy-Beam, D., Cueto, R. M., Czub, M., Dural, S., Espinosa, A., Esteves, C. S., Frackowiak, T., Contreras-Garduño, J., Guemaz, F., Hromatko, I., Iskra, H., Jiang, F., Kafetsios, K., Kavcic, T., Kervyn, N., Köbis, N. C., Kostić, A., Láng, A., Lindholm, T., Manesi, Z., Meskó, N., Misra, G., Monaghan, C., Natividade, J. C., Nizharadze, G., Oberzaucher, E., Oleszkiewicz, A., Pagani, A. F., Pakalniskiene, V., Parise, M., Pejičić, M., Pisanski, A., Pisanski, K., Popa, C., Prokop, P., Sargautyte, R., Sharad, S., Simonetti, F., Sorokowski, P., Stefanczyk, M. M., Szagdaj, A., Tadinac, M., González, K. U., Uhryn, O., Vauclair, C.-M., Yoo, G., Zupančič, M., & Croy, I. (2023). Love and affectionate touch toward romantic partners all over the world. Scientific Reports, 13, Article 5497. https://doi.org/10.1038/s41598-023-31502-1

Sorokowski, P., Kowal, M., Sternberg, R. J., Aavik, T., Akello, G., Alhabahba, M. M., Alm, C., Amjad, N., Anjum, A., Asao, K., Atama, C. S., Duyar, D. A., Ayebare, R., Conroy‑Beam, D., Bendixen, M., Bensafia, A., Bizumic, B., Boussena, M., Buss, D. M., Butovskaya, M., Can, S., Carrier, A., Cetinkaya, H., Croy, I., Cueto, R. M., Czub, M., Dronova, D., Dural, S., Duyar, I., Ertugrul, B., Espinosa, A., Estevan, I., Esteves, C. S., Frackowiak, T., Garduño, J. C., González, K. U., Guemaz, F., Halamová, M., Herak, I., Horvat, M., Hromatko, I., Hui, C. M., Jaafar, J. L., Jiang, F., Kafetsios, K., Kavčič, T., Kennair, L. E. O., Kervyn, N., Ha, T. T. K., Khilji, I. A., Köbis, N., Kostic, A., Lan, H. M., Láng, A., Lennard, G. R., León, E., Lindholm, T., Linh, T. T., Lopez, G., Luot, N. V., Mailhos, A., Manesi, Z., Martinez, R., McKerchar, S. L., Meskó, N., Pejičić, M., Misra, G., Monaghan, C., Mora, E. C., & Moya‑Garófano, A. (2023). Modernization, collectivism, and gender equality predict love experiences in 45 countries. Scientific Reports, 13, Article 773. https://doi.org/10.1038/s41598-022-26663-4

von Schenk, A., Klockmann, V., & Köbis, N. (2023). Social preferences toward humans and machines: A systematic experiment on the role of machine payoffs. Perspectives on Psychological Science. Advance online publication. https://doi.org/10.1177/17456916231194949

Wei, W., & Feng, X. (2023). Graphical representation and hierarchical decomposition mechanism for vertex-cover solution space. Applied Mathematics and Computation, 458, Article 128264. https://doi.org/10.1016/j.amc.2023.128264

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