Team Science, Reproducibility, and AI

A research team collaborating around a table
Photo by Ngital on Unsplash
projects

How can large research teams produce more reliable knowledge—and where can artificial intelligence genuinely help? This project family brings together collaborative work on replication, multiverse analyses, AI-assisted research teams, and the robustness of findings across analytical decisions.

The work ranges from reproducing published results to testing whether AI-supported teams can assess evidence more effectively. It treats robustness not as a final checklist but as a property that should be designed into the research process.

Current pipeline

  • Completing collaborative manuscripts on reproducibility and robustness
  • Evaluating AI-assisted research workflows
  • Developing practical guidance for transparent team science
  • Connecting large-scale replication results with methodological training