We ​strive to enhance and accelerate scientific discovery ​by automating multiple stages of the empirical research process, including model discovery, experimental design, data collection, and documentation for open science.

pip install autora

AI and automation is transforming every domain of scientific inquiry [1]. ​We are an interinstitutional research group committed to accelerating scientific discovery by advancing AI for science and pioneering methods for automated empirical research. Our group collaborates with researchers across different disciplines, with the shared objective of creating and sharing methods that uphold rigorous scientific standards of reproducibility and transparency, thereby promoting scientific progress.

To this end, we

  • develop methods for scientific model discovery, experimental design, data collection, and documentation for open science,
  • provide and maintain open-source packages for automated empirical research,
  • and apply these tools to accelerate discovery in neuroscience, psychology, physics, material science, and other disciplines.

Members of the AER Group at a hackathon hosted in 2025 at the German Research Center for Artificial Intelligence (DFKI) in Osnabrück, Germany.

Latest News

03/20/2025

SweetBean published in JOSS: ​​Our Python package for web-based behavioral exeperiments is now published in JOSS:

Strittmatter, Y., & Musslick, S. (2025). SweetBean: A declarative language for behavioral experiments with human and artificial participants. Journal of Open Source Software, 10(107), 7703. https://joss.theoj.org/papers/10.21105/joss.07703

01/27/2025

Perspective on the automation of science:  In a collective, interdisciplinary effort, we contributed a perspective on the automation of scientific practice in PNAS in which we outline future directions and challenges:

Musslick, S., Bartlett, L. K., Chandramouli, S. H., Dubova, M., Gobet, F., Griffiths, T. L., ... & Holmes, W. R. (2025). Automating the practice of science: Opportunities, challenges, and implications. Proceedings of the National Academy of Sciences, 122(5), e2401238121. https://www.pnas.org/doi/abs/10.1073/pnas.2401238121

12/05/2024

AutoRA published in JOSS: ​​Our Automated Research Assistant (AutoRA) is now published in JOSS:

Musslick, S., Andrew, B., Williams, C. C., Li, S., Marinescu, I., Dubova, M., ... Strittmatter*, Y. & Holland*, J. G. (2024). AutoRA: Automated research assistant for closed-loop empirical research. Journal of Open Source Software, 9(104), 6839. https://joss.theoj.org/papers/10.21105/joss.06839