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Cancian, S., Leese, P., & Mikulová, S. (in press). Migrant emotions: Inclusion and exclusion in transnational spaces. Liverpool University Press.

Cummins, S. (in press). State of enmity: Hatred and reconciliation in the kingdom of Naples, 1500-1700. Manchester University Press.

Frevert, U. (2024). Writing the history of emotions: Concepts and practices, economies and politics. Bloomsbury Academic.

Jack, M. (in press). Insurgent fandom: An ethnography of crowds and unruly sounds. Oxford University Press.

Pahl, K. M. (in press). Visual worlds of life writing: Portraits and biographical practice in England, c. 1660s to 1750s. Liverpool University Press.

Schlünz, B. (2024). Pastoral und Politik: Katholische Frömmigkeit im Spanien des 19. Jahrhunderts. Campus.

Tokdoğan, N. (in press). Neo-Ottomanism and the politics of emotions in Turkey: Resentment, nostalgia, narcissism. Palgrave Macmillan.

Bruntsch, M., Cooper, S. E., Abend, R., Boor, M., Chalkia, A., Czeszumski, A., Ehlers, M. R., Johnson, D. C., Klingelhöfer-Jens, M., Morriss, J., Mueller, E. M., Zika, O., & Lonsdorf, T. B. (2024). Associations between anxiety-related traits and fear acquisition and extinction: An item-based content and meta-analysis [Stage 1 Registered Report]. PsyArXiv, April 26, 2024. https://doi.org/10.31234/osf.io/unx7w

Aikins, M., Willems, Y., Mitchell, C., Goosby, B., & Raffington, L. (2024). Linked emergence of racial disparities in mental health and epigenetic biological aging across childhood and adolescence. BioRxiv, March 28, 2024. https://doi.org/10.1101/2024.03.26.586786

Analytis, P. P., Kaushik, K., Herzog, S. M., Bahrami, B., & Deroy, O. (2024). A recommender-network perspective on the informational value of critics and crowds. arXiv, 2403.18868. https://doi.org/10.48550/arXiv.2403.18868

Beck, E. D., Willroth, E. C., Delius, J. A. M., Bennett, D. A., Barnes, L. L., James, B. D., Lipton, R. B., Katz, M., Hassing, L. B., Huisman, M., Mroczek, D. K., & Graham, E. K. (2024). A taxonomy of data synthesis: A tutorial. PsyArXiv, March 9, 2024. https://doi.org/10.31234/osf.io/m3ywe

Brandmaier, A. M., Lindenberger, U., & McCormick, E. M. (2024). Optimal two-time point longitudinal models for estimating individual-level change: Asymptotic insights and practical implications. PsyArXiv, March 6, 2024. https://doi.org/10.31234/osf.io/6dc8e

Burton, J. W., Lorenz-Spreen, P., & Herzog, S. M. (2024). Simple changes to content curation algorithms affect the beliefs people form in a collaborative filtering experiment. PsyArXiv, February 8, 2024. https://doi.org/10.31234/osf.io/5yfbt

Främke, D., Willems, Y. E., Okbay, A., Wagner, G., Tucker-Drob, E. M., Harden, K. P., Hertwig, R., Koellinger, P., & Raffington, L. (2024). Differences in polygenic associations with educational attainment between West and East Germany before and after reunification. BioRxiv, March 26, 2024. https://doi.org/10.1101/2024.03.21.585839

Ganesh, P., Cichy, R. M., Schuck, N. W., Finke, C., & Bruckner, R. (2024). Adaptive integration of perceptual and reward information in an uncertain world. BioRxiv, April 28, 2024. https://doi.org/10.1101/2024.04.24.590947

Gergely, D., Fricke, B., Oeschger, J. M., Ruthotto, L., Fritz, F. J., Ohana, O., Sauvigny, T., Freund, P., Tabelow, K., & Mohammadi, S. (2024). ACID: A comprehensive toolbox for image processing and modeling of brain, spinal cord, and ex vivo diffusion MRI data. BioRxiv, January 18, 2024. https://doi.org/10.1101/2023.10.13.562027

Gkeka, P., Llompart, P., Minoletti, claire, Amaning, K., Bianciotto, M., Filoche-Romme, B., Foricher, Y., Mas, P., Papin, D., Rameau, J.-P., Schio, L., Marcou, G., Varnek, A., & Moussaïd, M. (2024). Harnessing medicinal chemical intuition from collective intelligence. Research Square, May 8, 2024. https://doi.org/10.21203/rs.3.rs-4365958/v1

Gollwitzer, A., Tump, A. N., Martel, C., Sultan, M., Kurvers, R. H. J. M., & Hertwig, R. (2024). A new framework for understanding and intervening on false news sharing. PsyArXiv, March 19, 2024. https://doi.org/10.31234/osf.io/pxn29

Hedrich, N. L., Schulz, E., Hall-McMaster, S., & Schuck, N. W. (2024). An inductive bias for slowly changing features in human reinforcement learning. BioRxiv, January 24, 2024. https://doi.org/10.1101/2024.01.24.576910