Alle Publikationen

Thoma, A. I., & Schulze, C. (2025). Do children match described probabilities? The sampling hypothesis applied to repeated risky choice. Journal of Experimental Child Psychology, 251, Article 106126. https://doi.org/10.1016/j.jecp.2024.106126

Abels, C. M., Huttunen, K. J. A., Hertwig, R., & Lewandowsky, S. (in press). Dodging the autocratic bullet: Enlisting behavioural science to arrest democratic backsliding. Behavioural Public Policy.

Abels, W., Reinhardt, K., Neugebauer, E., Wulkotte, E., Toubekis, E., Piedmont, S., Born, S., Rieck, T., Wegwarth, O., Spies, C., Schlattmann, P., Schwarzkopf, D., & Fleischmann-Struzek, C. (2024). Improving prevention and early detection of sepsis among patient groups at risk: Introducing a model for a multimodal information campaign. The SepWiss study protocol. PLoS ONE, 19(7), Article e0305107. https://doi.org/10.1371/journal.pone.0305107

Amelunxen, C., Bielecki, M., Prosch, H., Wegwarth, O., & Funk, G.-C. (in press). How fact-boxes shift perceptions of lung cancer screening in Austrian medical practice. Cancer Medicine.

Anand, S., Visser, A., Epstein, J. B., & Jalovcic, D. (2024). Necessity and influencing factors for integrating oral health in cancer care for older people: A narrative review. Supportive Care in Cancer, 32, Article 461. https://doi.org/10.1007/s00520-024-08632-x

Barrera-Lemarchand, F., Balenzuela, P., Bahrami, B., Deroy, O., & Navajas, J. (2024). Promoting erroneous divergent opinions increases the wisdom of crowds. Psychological Science, 35(8), 872–886. https://doi.org/10.1177/09567976241252138

Blanchard, M. D., Herzog, S. M., Kämmer, J. E., Zöller, N., Kostopoulou, O., & Kurvers, R. H. J. M. (2024). Collective intelligence increases diagnostic accuracy in a general practice setting. Medical Decision Making, 44(4), 451–462. https://doi.org/10.1177/0272989X241241001

Bolenz, F., & Pachur, T. (2024). Older adults select different but not simpler strategies than younger adults in risky choice. PLoS Computational Biology, 20(6), Article e1012204. https://doi.org/10.1371/journal.pcbi.1012204

Breen, A. J., & Deffner, D. (2024). Risk-sensitive learning is a winning strategy for leading an urban invasion. eLife, 12, Article RP89315. https://doi.org/10.7554/eLife.89315.3

Burton, J. W., Lopez-Lopez, E., Hechtlinger, S., Rahwan, Z., Aeschbach, S., Bakker, M. A., Becker, J. A., Berditchevskaia, A., Berger, J., Brinkmann, L., Flek, L., Herzog, S. M., Huang, S., Kapoor, S., Narayanan, A., Nussberger, A.-M., Yasseri, T., Nickl, P., Almaatouq, A., Hahn, U., Kurvers, R. H. J. M., Leavy, S., Rahwan, I., Siddarth, D., Siu, A., Woolley, A. W., Wulff, D. U., & Hertwig, R. (2024). How large language models can reshape collective intelligence. Nature Human Behaviour, 8, 1643–1655. https://doi.org/10.1038/s41562-024-01959-9

Cho, J., Cokely, E. T., Ramasubramanian, M., Allan, J. N., Feltz, A., & Garcia-Retamero, R. (2024). Numeracy does not polarize climate change judgments: Numerate people are more knowledgeable and knowledge is power. Decision, 11(2), 320–344. https://doi.org/10.1037/dec0000223

Clarmann von Clarenau, V., Appelhoff, S., Pachur, T., & Spitzer, B. (2024). Over- and underweighting of extreme values in decisions from sequential samples. Journal of Experimental Psychology: General, 153(3), 814–826. https://doi.org/10.1037/xge0001530

Conjeaud, I., Lorenz-Spreen, P., & Kalogeratos, A. (2024). DeGroot-based opinion formation under a global steering mechanism. IEEE Transactions on Computational Social Systems, 11(3), 4040–4057. https://doi.org/10.1109/TCSS.2023.3330293

da Silva Pinho, A., Céspedes Izquierdo, V., Lindström, B., & van den Bos, W. (2024). Youths’ sensitivity to social media feedback: A computational account. Science Advances, 10(43), Article eadp8775. https://doi.org/10.1126/sciadv.adp8775

Dallacker, M., Appelius, L., Brandmaier, A. M., Morais, A. S., & Hertwig, R. (2024). Opt-out defaults do not increase organ donation rates. Public Health, 236, 436–440. https://doi.org/10.1016/j.puhe.2024.08.009

Dau, P. H., Rumpel, M., & Wegwarth, O. (2024). Krebsfrüherkennungen: Die Kommunikation von Nutzen und Schaden. InFo Hämatologie + Onkologie, 27(9), 10–13. https://doi.org/10.1007/s15004-024-0696-9

de Groot, E. C. S., Hofmans, L., & van den Bos, W. (2024). Brain structure correlates of social information use: An exploratory machine learning approach. Frontiers in Human Neuroscience, 18, Article 1383630. https://doi.org/10.3389/fnhum.2024.1383630

Deffner, D., Fedorova, N., Andrews, J., & McElreath, R. (2024). Bridging theory and data: A computational workflow for cultural evolution. Proceedings of the National Academy of Sciences of the United States of America, 121(48), Article e2322887121. https://doi.org/10.1073/pnas.2322887121

Deffner, D., Mezey, D., Kahl, B., Schakowski, A., Romanczuk, P., Wu, C. M., & Kurvers, R. H. J. M. (2024). Collective incentives reduce over-exploitation of social information in unconstrained human groups. Nature Communications, 15, Article 2683. https://doi.org/10.1038/s41467-024-47010-3

Dolan, P., Krekel, C., & Swanke, S. (2024). Affective paternalism. Behavioural Public Policy. Advance online publication. https://doi.org/10.1017/bpp.2024.24