Report (11)

2020
Report
Kozyreva, A., Herzog, S., Lorenz-Spreen, P., Hertwig, R., & Lewandowsky, S. (2020). Künstliche Intelligenz in Online-Umgebungen: Repräsentative Umfrage zur öffentlichen Meinung in Deutschland. Max-Planck-Institut für Bildungsforschung. https://doi.org/10.17617/2.3190264
Report
Leuker, C., Hertwig, R., Gumenik, K., Eggeling, L. M., Hechtlinger, S., Kozyreva, A., Samaan, L., & Fleischhut, N. (2020). Wie informiert sich die Bevölkerung in Deutschland rund um das Coronavirus? Umfrage zu vorherrschenden Themen und Gründen, dem Umgang mit Fehlinformationen, sowie der Risikowahrnehmung und dem Wissen der Bevölkerung rund um das Coronavirus. Max-Planck-Institut für Bildungsforschung. https://doi.org/10.17617/2.3247925
Report
Lewandowsky, S., Smillie, L., Garcia, D., Hertwig, R., Weatherall, J., Egidy, S., Robertson, R. E., O'Connor, C., Kozyreva, A., Lorenz-Spreen, P., Blaschke, Y., & Leiser, M. (2020). Technology and democracy: Understanding the influence of online technologies on political behaviour and decision-making JRC Science for Policy Report. Publications Office of the European Union. https://doi.org/10.2760/709177
2019
Report
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.

Issue (1)

2020
Issue
Kenett, Y. N., Beckage, N. M., Siew, C. S. Q., & Wulff, D. U. (Eds.). (2020). Cognitive network science: A new frontier [Special issue]. Complexity, .

Book Review (2)

2015
Book Review
Krappmann, L. (2015). [Review of the book Kinderrechtskonvention mit Zusatzprotokollen - Handkommentar by Stefanie Schmahl]. Recht der Jugend und des Bildungswesens, 63(3), 368–374.
2012
Book Review
Pachur, T. (2012). [Review of the book Social judgment and decision making by J. I. Krueger (Ed.)]. Journal of Economic Psychology, 33(6), 1266–1268. https://doi.org/10.1016/j.joep.2012.08.002

Editorial (1)

2020
Editorial
Kenett, Y. N., Beckage, N. M., Siew, C. S. Q., & Wulff, D. U. (2020). Cognitive network science: A new frontier. Complexity (No. 2020), 6870278. https://doi.org/10.1155/2020/6870278

Monograph (1)

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

Preprint (55)

2021
Preprint
Appelhoff, S., Hertwig, R., & Spitzer, B. (2021). Control over sampling boosts numerical evidence processing in human decisions from experience. BioRxiv, 446960. https://doi.org/10.1101/2021.06.03.446960
Preprint
Betsch, C., Sprengholz, P., Siegers, R., Eitze, S., Korn, L., Goldhahn, L., Schmitz, J. M., Giesler, P., Knauer, G., & Jenny, M. (2021). Unpacking the black box: Empirical evidence to understand the human factor for effective rapid testing against SARS-CoV2. PsyArXiv, 13 April 2021. https://doi.org/10.31234/osf.io/c9h5k
Preprint
Botzet, L. J., Gerlach, T. M., Driebe, J. C., Penke, L., & Arslan, R. C. (2021). Hormonal contraception and sexuality: Causal effects, unobserved selection, or reverse causality? PsyArXiv, 9 March 2021. https://doi.org/10.31234/osf.io/6d3aw
Preprint
Ciranka, S., Linde-Domingo, J., Padezhki, I., Wicharz, C., Wu, C. M., & Spitzer, B. (2021). Asymmetric learning facilitates human inference of transitive relations. BioRxiv, 437766. https://doi.org/10.1101/2021.04.03.437766
Preprint
Fatima, A., Li, Y., Hills, T. T., & Stella, M. (2021). DASentimental: Detecting depression, anxiety and stress in texts via emotional recall, cognitive networks and machine learning. arXiv, 2110.13710.
Preprint
Fischer, H., Huff, M., & Said, N. (2021). Politicized climate science: No evidence for science literacy driving motivated reasoning, or polarized belief-updating in a US national experiment. PsyArXiv, 31 July 2021. https://doi.org/10.31234/osf.io/fyx9e
Preprint
Fischer, H., Said, N., & Huff, M. (2021). Insight into the accuracy of COVID-19 beliefs predicts behavior during the pandemic. PsyArXiv, 21 March 2021. https://doi.org/10.31234/osf.io/x2qv3
Preprint
Garrett, P. M., White, J. P., Dennis, S., Lewandowsky, S., Yang, C.-T., Okan, Y., Perfors, A., Little, D., Kozyreva, A., Lorenz-Spreen, P., Kusumi, T., & Kashima, Y. (2021). Papers please: Predictive factors for the uptake of national and international COVID-19 immunity and vaccination passports. PsyArXiv, 7 August 2021. https://doi.org/10.31234/osf.io/fxemq
Preprint
Karakuzu, A., Appelhoff, S., Auer, T., Boudreau, M., Feingold, F., Khan, A. R., Lazari, A., Markiewicz, C., Mulder, M., Phillips, C., Salo, T., Stikov, N., Whitaker, K., & de Hollander, G. (2021). qMRI-BIDS: An extension to the brain imaging data structure for quantitative magnetic resonance imaging data. MedRxiv, 27 October 2021. https://doi.org/10.1101/2021.10.22.21265382
Preprint
Keshmirian, A., Bahrami, B., & Deroy, O. (2021). Many heads are more utilitarian than one. PsyArXiv, 27 April 2021. https://doi.org/10.31234/osf.io/7e3dc
Preprint
Koellinger, P. D., Okbay, A., Kweon, H., Schweinert, A., Karlsson Linnér, R., Goebel, J., Richter, D., Reiber, L., Zweck, B. M., Belsky, D. W., Biroli, P., Mata, R., Tucker-Drob, E. M., Harden, K. P., Wagner, G. G., & Hertwig, R. (2021). Cohort Profile: Genetic data in the German Socio-Economic Panel Innovation Sample (Gene-SOEP). BioRxiv, 467573.
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