Publikationen von Manuel Cebrian

Alfonseca, M., Cebrian, M., Anta, A. F., Coviello, L., Abeliuk, A., & Rahwan, I. (2021). Superintelligence cannot be contained: Lessons from computability theory. Journal of Artificial Intelligence Research, 70, 65–76. https://doi.org/10.1613/jair.1.12202

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

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

Ferreira, L. N., Hong, I., Rutherford, A., & Cebrian, M. (2021). The small-world network of global protests. Scientific Reports, 11, Article 19215. https://doi.org/10.1038/s41598-021-98628-y

Groh, M., Epstein, Z., Obradovich, N., Cebrian, M., & Rahwan, I. (2021). Human detection of machine-manipulated media. Communications of the ACM, 64(10), 40–47. https://doi.org/10.1145/3445972

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

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

Saveski, M., Awad, E., Rahwan, I., & Cebrian, M. (2021). Algorithmic and human prediction of success in human collaboration from visual features. Scientific Reports, 11, Article 2756. https://doi.org/10.1038/s41598-021-81145-3