Open Science

For us, Open Science means making the entire scientific process transparent and accessible - from hypothesis generation to publication. In our studies, we therefore emphasize a clear and comprehensible presentation of the methodological approach, the use of open source software, the availability of data (open data) and the accessibility of publications (open access; Kraker et al., 2011).

As reviewers, we are also committed to an open review process. In our ongoing projects, our research questions are therefore pre-registered, which means that we define our hypotheses and methodological approach in advance. Afterwards, we share the collected data as well as the analysis code on respective online repositories to ensure transparency and to allow other researchers to replicate our work.

Here are some examples of ongoing preregistered studies:

Preregistered Studies

Neef, N.E., Zabel, S., & Otto, S. Digital Art in the Age of AI. Preregistered study: https://aspredicted.org/PBR_YZC

Zabel, S., Pensini, P., & Otto, S. An analytical view on the character of artificial intelligence. Preregistered study: 10.17605/OSF.IO/2AE49

Neef, N. E., Fußwinkel, S., Richter, I., Roos, C., Shihepo, K. Future Visioning: Effectiveness of Videos as Communication Tool - 2023. Preregistered study: https://aspredicted.org/648_W6P

Saile, K., Neef, N. E., Hüttl-Maack, V., & Otto, S. The influence of foreign language use on pro-environmental behavior (WEPT). Preregistered study: https://aspredicted.org/7PK_C9Q

Richter, I., Roos, C., Neef, N. E., Shihepo, K. The Human Dimension of Plastic Bag Pollution in South Africa. Preregistered study: https://aspredicted.org/NS5_SV5

Zabel, S., Schlaile, M. P., & Otto, S. (2023). Breaking the chain with individual gain? Investigating the moral intensity of COVID-19 digital contact tracing. Computers in Human Behavior, 143, 107699. https://doi.org/10.1016/j.chb.2023.107699

Preregistered Reports

Krüger, J., Çalıklı, G., Bershadskyy, D., Heyer, R., Zabel, S., & Otto, S. (2022). Registered Report: A Laboratory Experiment on Using Different Financial-Incentivization Schemes in Software-Engineering Experimentation. arXiv preprint arXiv:2202.10985. 10.48550/arXiv.2202.10985