Reproducibility and Rigor in Quantitative Biology: A Hands-On Approach

By Victoria Prince, PI

As biology increasingly transforms into a discipline driven by ever-expanding datasets and computational analysis, students need new forms of training to follow best practices and build a successful research career. The University of Chicago Biological Sciences Division tested an innovative curriculum, which it piloted at the Marine Biological Laboratory, that focuses on hands-on learning in computational methods and how to use these tools in a rigorous and reproducible way.

The overarching goal of this program was to teach students to critically evaluate quantitative analysis methods in the scientific literature, and to acquire good programming habits that support reproducibility and rigor in their own research.


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