Sultan, M., Scholz, C., & van den Bos, W. (2023). Leaving traces behind: Using social media digital trace data to study adolescent wellbeing. Computers in Human Behavior Reports, 10, Article 100281. https://doi.org/10.1016/j.chbr.2023.100281

Swami, V., Tran, U. S., Stieger, S., Aavik, T., Abdollahpour Ranjbar, H., Adebayo, S. O., Afhami, R., Ahmed, O., Aimé, A., Akel, M., Halbusi, H. A., Alexias, G., Ali, K. F., Alp-Dal, N., Alsalhani, A. B., Álvares-Solas, S., Amaral, A. C. S., Andrianto, S., Aspden, T., Argyrides, M., Aruta, J. J. B. R., Atkin, S., Ayandele, O., Baceviciene, M., Bahbouh, R., Ballesio, A., Barron, D., Bellard, A., Bender, S. S., Beydağ, K. D., Birovljević, G., Blackburn, M.-È., Borja-Alvarez, T., Borowiec, J., Bozogáňová, M., Bratland-Sanda, S., Browning, M. H. E. M., Brytek-Matera, A., Burakova, M., Çakır-Koçak, Y., Camacho, P., Camilleri, V. E., Cazzato, V., Cerea, S., Chaiwutikornwanich, A., Chaleeraktrakoon, T., Chambers, T., Chen, Q.-W., Chen, X., Chien, C.-L., Chobthamkit, P., Choompunuch, B., Compte, E. J., Corrigan, J., Cosmas, G., Cowden, R. G., Czepczor-Bernat, K., Czub, M., da Silva, W. R., Dadfar, M., Dalley, S. E., Dany, L., Datu, J. A. D., Berbert de Carvalho, P. H., de Coelho, G. L. H., de Jesus, A. O. S., Debbabi, S. H., Dhakal, S., Di Bernardo, F., Dimitrova, D. D., Dion, J., Dixson, B., Donofrio, S. M., Drysch, M., Du, H., Dzhambov, A. M., El-Jor, C., Enea, V., Eskin, M., Farbod, F., Farrugia, L., Fian, L., Fisher, M. L., Folwarczny, M., Frederick, D. A., Fuller-Tyszkiewicz, M., Furnham, A., García, A. A., Geller, S., Ghisi, M., Ghorbani, A., Martinez, M. A. G., Gradidge, S., Graf, S., Grano, C., Gyene, G., Hallit, S., Hamdan, M., Handelzalts, J. E., Hanel, P. H. P., Hawks, S. R., Hekmati, I., Helmy, M., Hill, T., Hina, F., Holenweger, G., Hřebíčková, M., Ijabadeniyi, O. A., Imam, A., İnce, B., Irrazabal, N., Jankauskiene, R., Jiang, D.-Y., Jiménez-Borja, M., Jiménez-Borja, V., Johnson, E. M., Jovanović, V., Jović, M., Jović, M., Junqueira, A. C. P., Kahle, L.-M., Kantanista, A., Karakiraz, A., Karkin, A. N., Kasten, E., Khatib, S., Khieowan, N., Kimong, P. J., Kiropoulos, L., Knittel, J., Kohli, N., Koprivnik, M., Kospakov, A., Król-Zielińska, M., Krug, I., Kuan, G., Kueh, Y. C., Kujan, O., Kukić, M., Kumar, S., Kumar, V., Lamba, N., Lauri, M. A., Laus, M. F., LeBlanc, L. A., Lee, H. J., Lipowska, M., Lipowski, M., Lombardo, C., Lukács, A., Maïano, C., Malik, S., Manjary, M., Baldó, L. M., Martinez-Banfi, M., Massar, K., Matera, C., McAnirlin, O., Mebarak, M. R., Mechri, A., Meireles, J. F. F., Mesko, N., Mills, J., Miyairi, M., Modi, R., Modrzejewska, A., Modrzejewska, J., Mulgrew, K. E., Myers, T. A., Namatame, H., Nassani, M. Z., Nerini, A., Neto, F., Neto, J., Neves, A. N., Ng, S.-K., Nithiya, D., O, J., Obeid, S., Oda-Montecinos, C., Olapegba, P. O., Olonisakin, T. T., Omar, S. S., Örlygsdóttir, B., Özsoy, E., Otterbring, T., Pahl, S., Panasiti, M. S., Park, Y., Patwary, M. M., Pethö, T., Petrova, N., Pietschnig, J., Pourmahmoud, S., Prabhu, V. G., Poštuvan, V., Prokop, P., Winter, V. L. R., Razmus, M., Ru, T., Rupar, M., Sahlan, R. N., Hassan, M. S., Šalov, A., Sapkota, S., Sarfo, J. O., Sawamiya, Y., Schaefer, K., Schulte-Mecklenbeck, M., Seekis, V., Selvi, K., Sharifi, M., Shrivastava, A., Siddique, R. F., Sigurdsson, V., Silkane, V., Šimunić, A., Singh, G., Slezáčková, A., Sundgot-Borgen, C., Ten Hoor, G., Tevichapong, P., Tipandjan, A., Todd, J., Togas, C., Tonini, F., Tovar-Castro, J. C., Trangsrud, L. K. J., Tripathi, P., Tudorel, O., Tylka, T. L., Uyzbayeva, A., Vally, Z., Vanags, E., Vega, L. D., Vicente-Arruebarrena, A., Vidal-Mollón, J., Vilar, R., Villegas, H., Vintilă, M., Wallner, C., White, M. P., Whitebridge, S., Windhager, S., Wong, K. Y., Yau, E. K., Yamamiya, Y., Yeung, V. W. L., Zanetti, M. C., Zawisza, M., Zeeni, N., Zvaríková, M., & Voracek, M. (2023). Body appreciation around the world: Measurement invariance of the Body Appreciation Scale-2 (BAS-2) across 65 nations, 40 languages, gender identities, and age. Body Image, 46, 449–466. https://doi.org/10.1016/j.bodyim.2023.07.010

Tiede, K. E., & Gaissmaier, W. (2023). How do people process different representations of statistical information? Insights into cognitive effort, representational inconsistencies, and individual differences. Medical Decision Making, 43(7-8), 803–820. https://doi.org/10.1177/0272989X231202505

Waters, E. A., Pachur, T., Pogge, G., Hunleth, J., Webster, G. D., Fedele, D. A., & Shepperd, J. A. (2023). How are mental representations of asthma triggers and symptoms related to interpersonal risk perceptions? A psychometric investigation of caregivers of children with asthma. Psychology & Health. Advance online publication. https://doi.org/10.1080/08870446.2023.2244522

Waters, E. A., Pachur, T., Pogge, G., Hunleth, J., Webster, G. D., & Shepperd, J. A. (2023). Linking cognitive and affective heuristic cues to interpersonal risk perceptions and behavior. Risk Analysis, 43(12), 2610–2630. https://doi.org/10.1111/risa.14101

Wegwarth, O. (2023). Die Kommunikation von Risiken in der Onkologie. Die Onkologie, 29, 976–983. https://doi.org/10.1007/s00761-023-01399-6

Wegwarth, O., Mansmann, U., Zepp, F., Lühmann, D., Hertwig, R., & Scherer, M. (2023). Vaccination intention following receipt of vaccine information through interactive simulation vs text among COVID-19 vaccine-hesitant adults during the Omicron wave in Germany. JAMA Network Open, 6(2), Article e2256208. https://doi.org/10.1001/jamanetworkopen.2022.56208

Wegwarth, O., & Scherer, M. (2023). COVID-19-Impfzögerlichkeit: Interaktive Simulationen vs. textbasierte Informationen bei der Risikovermittlung. Zeitschrift für Allgemeinmedizin, 99, 233–234. https://doi.org/10.1007/s44266-023-00086-4

Wilhelm, E., Ballalai, I., Belanger, M.-E., Benjamin, P., Bertrand-Ferrandis, C., Bezbaruah, S., Briand, S., Brooks, I., Bruns, R., Bucci, L. M., Calleja, N., Chiou, H., Devaria, A., Dini, L., D'Souza, H., Dunn, A. G., Eichstaedt, J., Evers, S., Gobat, N., Gissler, M., Gonzales, I. C., Gruzd, A., Hess, S., Ishizumi, A., John, O., Joshi, A., Kaluza, B., Khamis, N., Kosinska, M., Kulkarni, S., Lingri, D., Ludolph, R., Mackey, T., Mandić-Rajčević, S., Menczer, F., Mudaliar, V., Murthy, S., Nazakat, S., Nguyen, T., Nilsen, J., Pallari, E., Pasternak Taschner, N., Petelos, E., Prinstein, M. J., Roozenbeek, J., Schneider, A., Srinivasan, V., Stevanović, A., Strahwald, B., Abdul, S. S., Varaidzo, S. M., van der Linden, S., Voegeli, C., Wardle, C., Wegwarth, O., White, B. K., Willie, E., Yau, B., & Purnat, T. D. (2023). Measuring the burden of infodemics: Summary of the methods and results of the Fifth WHO Infodemic Management Conference. JMIR Infodemiology, 3, Article e44207. https://doi.org/10.2196/44207

Woike, J. K., Hertwig, R., & Gigerenzer, G. (2023). Heterogeneity of rules in Bayesian reasoning: A toolbox analysis. Cognitive Psychology, 143, Article 101564. https://doi.org/10.1016/j.cogpsych.2023.101564

Zilker, V., & Pachur, T. (2023). Attribute attention and option attention in risky choice. Cognition, 236, Article 105441. https://doi.org/10.1016/j.cognition.2023.105441

Lein, I., & Jenny, M. A. (2023). Communicating health statistics effectively: The power of icon arrays and natural frequency trees. In A. M. Hartkopf & E. Henning (Eds.), Handbook of mathematical science communication (pp. 267–281). World Scientific. https://doi.org/10.1142/9789811253072_0015

Pachur, T., & Schulze, C. (2023). Heuristic social sampling. In K. Fiedler, P. Juslin, & J. Denrell (Eds.), Sampling in judgment and decision making (pp. 359–384). Cambridge University Press. https://doi.org/10.1017/9781009002042.021

Pleskac, T. J., & Hertwig, R. (2023). In decisions from experience what you see is up to your sampling of the world. In K. Fiedler, P. Juslin, & J. Denrell (Eds.), Sampling in judgment and decision making (pp. 66–89). Cambridge University Press. https://doi.org/10.1017/9781009002042.004

Reijula, S., & Hertwig, R. (2023). Self-nudging and the citizen choice architect. In C. R. Sunstein & L. A. Reisch (Eds.), Research handbook on nudges and society (pp. 263–290). Edward Elgar Publishing.

Trianni, V., Nuzzolese, A. G., Porciello, J., Kurvers, R. H. J. M., Herzog, S. M., Barabucci, G., Berditchevskaia, A., & Fung, F. (2023). Hybrid collective intelligence for decision support in complex open-ended domains. In P. Lukowicz, S. Mayer, J. Koch, J. Shawe-Taylor, & I. Tiddi (Eds.), HHAI 2023: Augmenting Human Intellect. Proceedings of the Second International Conference on Hybrid Human-Artificial Intelligence (pp. 124–137). IOS Press. https://doi.org/10.3233/FAIA230079

Thoma, A. I. (2023). The development of probability learning and repeated choice behavior in childhood: An ecological and longitudinal perspective [Doktorarbeit, Humboldt-Universität zu Berlin]. https://doi.org/10.18452/27220

Offer, K., Mischkowski, D., Rahwan, Z., & Engel, C. (2023). Avoiding punishment by ignoring unfairness: Responses to uncertain inequality in the ultimatum game [Registered report stage 1]. Figshare, November 14, 2023. https://doi.org/10.6084/m9.figshare.24559132.v1

Bolenz, F., & Pachur, T. (2023). Older adults select different but not simpler strategies than younger adults in risky choice. OSF Preprints, August 15, 2023. https://doi.org/10.31219/osf.io/9vhy8

Geers, M., Fischer, H., Lewandowsky, S., & Herzog, S. M. (2023). The political (a)symmetry of metacognitive insight into detecting misinformation. PsyArXiv, November 6, 2023. https://doi.org/10.31234/osf.io/5mc8s