Wu, C. M., Schulz, E., & Gershman, S. J. (2019). Searching for rewards in graph-structured spaces. In 2019 Conference on Cognitive Computational Neuroscience, 13-16 September 2019, Berlin, Germany (pp. 814–817). https://doi.org/10.32470/CCN.2019.1041-0

Litvinova, A. (2019). Extending the wisdom of crowds: How to harness the wisdom of the inner crowd [PhD Thesis, Freie Universität Berlin].

Wu, C. M. (2019). Guided by generalization and uncertainty: A theory of human learning and exploration [PhD Thesis, Humboldt-Universität zu Berlin]. https://doi.org/10.18452/20383

Gerbaulet, K. (2019). Under pressure: The effect of time pressure on directed and random exploration [Master's Thesis, Osnabrück University].

Polk, S. E. (2019). Exercise and the brain: Changes in gray matter and cognition in older adults [Master's Thesis, Freie Universität Berlin].

Samartzidis, L. (2019). Who finds what repugnant and why? [Master's Thesis, Christian-Albrechts-Universität zu Kiel].

Skowron, A. (2019). Dopaminergic effects on reinforcement learning in older adults: BOLD variability as a marker of individual differences [Master's Thesis, Freie Universität Berlin].

Bruttel, L., Felgendreher, S., Güth, W., & Hertwig, R. (2019). Strategic ignorance in repeated prisoners' dilemma experiments and its effects on the dynamics of voluntary cooperation (CEPA Discussion Papers No. 10). Center for Economic Policy Analysis. https://doi.org/10.25932/publishup-43188

Fleischhut, N., & Jenny, M. A. (2019). Kommunikationsproblem Naturgefahren: Wie lassen sich Hochwasserrisiken transparent und verständlich darstellen? (Studien und Gutachten im Auftrag des Sachverständigenrats für Verbraucherfragen). Sachverständigenrat für Verbraucherfragen.

Fiedler, K., Hauner, H., Hertwig, R., Huber, G., Mata, J., Rösler, F., Roosen, J., Stroebe, W., & von Braun, J. (2019). Übergewicht und Adipositas: Thesen und Empfehlungen zur Eindämmung der Epidemie Diskussion / Deutsche Akademie der Naturforscher Leopoldina. Nationale Akademie der Wissenschaften Leopoldina.

Moussaïd, M. (2019). Fouloscopie: Ce que la foule dit de nous. HumenSciences.

Arslan, R. C., Reitz, A. K., Driebe, J. C., Gerlach, T. M., & Penke, L. (2019). Routinely randomise the display and order of items to estimate and adjust for biases in subjective reports. PsyArXiv, 27 June 2019. https://doi.org/10.31234/osf.io/va8bx

Giamattei, M., Molleman, L., Yahosseini, K. S., & Gaechter, S. (2019). LIONESS Lab: A free web-based platform for conducting interactive experiments online. SSRN eLibrary, 5 February 2019. https://doi.org/10.2139/ssrn.3329384

Jayles, B., Sire, C., & Kurvers, R. H. J. M. (2019). Debiasing the crowd: How to select social information to improve judgment accuracy? (Version posted online February 05, 2021). PsyArXiv, 19 September 2019. https://doi.org/10.31234/osf.io/hn8rz

MacDonald, H. J., Brittain, J.-S., Spitzer, B., Hanslmayr, S., & Jenkinson, N. (2019). Impaired desynchronization of beta activity underlies memory deficits in people with Parkinson's disease. BioRxiv, 667550. https://doi.org/10.1101/667550

Najar, A., Bonnet, E., Bahrami, B., & Palminteri, S. (2019). Imitation as a model-free process in human reinforcement learning. BioRxiv, 797407. https://doi.org/10.1101/797407