Code underlying published findings in the social sciences often fails to reproduce reported results when others re-run it on the original data. This Comment proposes four recommendations to strengthen computational reproducibility, facilitating the trustworthiness and reliability of research.

Reiss, M., Adler, S. J., Barrie, C., Berkessel, J. B., Breuer, J., Brodeur, A., Christensen, G., Dienlin, T., Freese, J., Greiner, B., Haim, M., Hardwicke, T. E., Johannesson, M., King, G., Kreuter, F., Lucas, C., Martinovici, A., Pérignon, C., Sarstedt, M., Schönbrodt, F., Urminsky, O., Atteveldt, W. v., Vazire, S., Vilhuber, L., Wangenheim, F. v., Wagenmakers, E.-J., Pröllochs, N., Robertson, C., Holzmeister, F., Feuerriegel, S., & Roggenhamp, H. (2026). Improving computational reproducibility in the social sciences. Nature Human Behavior, Advance Online Publication. https://doi.org/10.1038/s41562-026-02570-w (content_copy)