Publications

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

Cebrian, M. (2021). A time-critical crowdsourced computational search for the origins of COVID-19. Nature Electronics, 4, 450–451. https://doi.org/10.1038/s41928-021-00619-4

Chen, H., Kryvasheyeu, Y., Xu, W., Huang, Y., Deng, J., Ren, S., Li, X., Rahwan, I., & Cebrian, M. (2021). Evolution of urban forms observed from space. EPJ Data Science, 10, Article 27. https://doi.org/10.1140/epjds/s13688-021-00283-w

Cuomo, R. E., Purushothaman, V. L., Li, J., Bardier, C., Nali, M., Shah, N., Obradovich, N., Yang, J., & Mackey, T. K. (2021). Characterizing self-reported tobacco, vaping, and marijuana-related tweets geolocated for California college campuses. Frontiers in Public Health, 9, Article 628812. https://doi.org/10.3389/fpubh.2021.628812

Dhaliwal, N. A., Patil, I., & Cushman, F. (2021). Reputational and cooperative benefits of third-party compensation. Organizational Behavior and Human Decision Processes, 164, 27–51. https://doi.org/10.1016/j.obhdp.2021.01.003

Dong, M., Palomo‐Vélez, G., & Wu, S. (2021). Reducing the gap between pro‐environmental disposition and behavior: The role of feeling power. Journal of Applied Social Psychology, 51(3), 262–272. https://doi.org/10.1111/jasp.12733

Dong, M., Spadaro, G., Yuan, S., Song, Y., Ye, Z., & Ren, X. (2021). Self-interest bias in the COVID-19 pandemic: A cross-cultural comparison between the United States and China. Journal of Cross-Cultural Psychology. Advance online publication. https://doi.org/10.1177/00220221211025739

Dong, M., van Prooijen, J.-W., Wu, S., & van Lange, P. A. M. (2021). 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. Advance online publication. https://doi.org/10.1177/1948550621990451

Fowler, J. H., Hill, S. J., Levin, R., & Obradovich, N. (2021). Stay-at-home orders associate with subsequent decreases in COVID-19 cases and fatalities in the United States. PLoS ONE, 16(6), Article e0248849. https://doi.org/10.1371/journal.pone.0248849

Hong, I., Rutherford, A., & Cebrian, M. (2021). Social mobilization and polarization can create volatility in COVID‑19 pandemic control. Applied Network Science, 6, Article 11. https://doi.org/10.1007/s41109-021-00356-9

Köbis, N., Bonnefon, J.-F., & Rahwan, I. (2021). Bad machines corrupt good morals. Nature Human Behaviour, 5, 679–685. https://doi.org/10.1038/s41562-021-01128-2

Köbis, N., & Mossink, L. D. (2021). Artificial intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry. Computers in Human Behavior, 114, Article 106553. https://doi.org/10.1016/j.chb.2020.106553

Kwon, O.-H., Hong, I., Yang, J., Wohn, D. Y., Jung, W.-S., & Cha, M. (2021). Urban green space and happiness in developed countries. EPJ Data Science, 10, Article 28. https://doi.org/10.1140/epjds/s13688-021-00278-7

Laakasuo, M., Palomäki, J., & Köbis, N. (2021). Moral uncanny valley: A robot’s appearance moderates how its decisions are judged. International Journal of Social Robotics. Advance online publication. https://doi.org/10.1007/s12369-020-00738-6

Li, C., Wei, W., Feng, X., & Liu, J. (2021). Research of motif-based similarity for link prediction problem. IEEE Access, 9, 66636–66645. https://doi.org/10.1109/ACCESS.2021.3077016

Ligo, A. K., Rand, K., Bassett, J., Galaitsi, S. E., Trump, B. D., Jayabalasingham, B., Collins, T., & Linkov, I. (2021). Comparing the emergence of technical and social sciences research in artificial intelligence. Frontiers in Computer Science, 3, Article 653235. https://doi.org/10.3389/fcomp.2021.653235

Liu, X., Wei, W., Feng, X., Cao, X., & Sun, D. (2021). Graph classification based on skeleton and component features. Knowledge-Based Systems, 228, Article 107301. https://doi.org/10.1016/j.knosys.2021.107301

Lüdecke, D., Ben-Shachar, M. S., Patil, I., Waggoner, P., & Makowski, D. (2021). performance: An R package for assessment, comparison and testing of statistical models. Journal of Open Source Software, 6(60), Article 3139. https://doi.org/10.21105/joss.03139

Moro, E., Frank, M. R., Pentland, A., Rutherford, A., Cebrian, M., & Rahwan, I. (2021). Universal resilience patterns in labor markets. Nature Communications, 12, Article 1972. https://doi.org/10.1038/s41467-021-22086-3

Müller, T. F., Winters, J., Morisseau, T., Noveck, I., & Morin , O. (2021). Colour terms: Native language semantic structure and artificial language structure formation in a large-scale online smartphone application. Journal of Cognitive Psychology, 33(4), 357–378. https://doi.org/10.1080/20445911.2021.1900199