Köbis, N., Lorenz-Spreen, P., Ajaj, T., Bonnefon, J.-F., Hertwig, R., & Rahwan, I. (2023). Artificial intelligence can facilitate selfish decisions by altering the appearance of interaction partners. arXiv, 2306.04484 . https://doi.org/10.48550/arXiv.2306.04484

Starke, C., Kieslich, K., Reichert, M., & Köbis, N. (2023). Algorithms against corruption: A conjoint study on designing automated twitter posts to encourage collective action. SocArXiv, January 13, 2023. https://doi.org/10.31235/osf.io/wf45t

Althobaiti, S., Alabdulkareem, A., Hanwen Shen, J., Rahwan, I., Frank, M., Moro, E., & Rutherford, A. (2022). Longitudinal complex dynamics of labour markets reveal increasing polarisation. arXiv, 2204.07073. https://doi.org/10.48550/arXiv.2204.07073

Fioravant, F., Rahwan, I., & Tohmé, F. A. (2022). Properties of aggregation operators relevant for ethical decision making in artificial intelligence. arXiv, 2206.05160. https://doi.org/10.48550/arXiv.2206.05160

Fioravanti, F., Rahwan, I., & Tohmé, F. A. (2022). Ethical decision making for artificial intelligence: A social choice approach. arXiv, 2206.05160. https://doi.org/10.48550/arXiv.2206.05160

Hong, I., Ferreira, L. N., Rutherford, A., & Cebrian, M. (2022). Assessing the epidemic impact of protests during the COVID-19 pandemic. MedRxiv, October 14, 2022. https://doi.org/10.1101/2022.10.10.22280896

Köbis, N., Dorrough, A., Irlenbusch, B., Shalvi, S., & Gloeckner, A. (2022). Bribery across nations. Research Square, May 25, 2022. https://doi.org/10.21203/rs.3.rs-1690288/v1

Lange, J., Köbis, N., & Herrmann, C. (2022). A systematic literature review and integrative framework on the link between emotions and corruption. OSF Preprints, June 15, 2022. https://doi.org/10.31219/osf.io/8uzkf

Santos, L. B. L., Carvalho, L. M., Soares, G. G., Ferreira, L. N., & Sokolov, I. M. (2022). Beyond the shortest path: The path length index as a distribution. arXiv, 2210.03216.

von Schenk, A., Klockmann, V., & Köbis, N. (2022). Social preferences towards machines and humans. SSRN eLibrary, June 24, 2022. https://doi.org/10.2139/ssrn.4145868

Yang, Q., Wei, W., Zhang, R., Pang, B., & Feng, X. (2022). Enhance ambiguous community structure via multi-strategy community related link prediction method with evolutionary process. arXiv, 2204.13301. https://doi.org/10.48550/arXiv.2204.13301

Köbis, N., Starke, C., & Rahwan, I. (2021). Artificial intelligence as an anti-corruption tool (AI-ACT): Potentials and pitfalls for top-down and bottom-up approaches. arXiv, 2102.11567.

Kong, Q., Garcia-Herranz, M., Dotu, I., & Cebrian, M. (2021). Contact tracing: Computational bounds, limitations and implications. arXiv, 2102.13349.

Leib, M., Köbis, N. C., Rilke, R. M., Hagens, M., & Irlenbusch, B. (2021). The corruptive force of AI-generated advice. arXiv, 2102.07536.

Minor, K., Bjerre-Nielsen, A., Jónasdóttir, S. S., Lehmann, S., & Obradovich, N. (2020). Ambient heat and human sleep. arXiv, 2011.07161.

Morin, O., Winters, J., Müller, T., & Morisseau, T. (2020). An overview of the "Color Game" App project. SocArXiv, December 8, 2020. https://doi.org/10.31235/osf.io/cjaxw

Müller, T. F., Winters, J., Morisseau, T., Noveck, I., & Morin, O. (2020). Color terms: Native language semantic structure and artificial language structure formation in a large-scale online smartphone application. PsyArXiv, December 10, 2020. https://doi.org/10.31234/osf.io/9zmcg

Pescetelli, N., Cebrian, M., & Rahwan, I. (2020). Real-time internet control of situated human agents. PsyArXiv, February 10, 2020. https://doi.org/10.31234/osf.io/xn7sr

Pescetelli, N., Rutherford, A., & Rahwan, I. (2020). Multi-trait diversity of online groups improves geo-political forecasting accuracy as a function of group size. PsyArXiv, January 2, 2020. https://doi.org/10.31234/osf.io/b8q2c

Rutherford, A., Cebrian, M., Hong, I., & Rahwan, I. (2020). Impossible by conventional means: Ten years on from the DARPA Red Balloon Challenge. arXiv, 2008.05940.