Irina Gaynanova | Replicability, Reproducibility, Responsibility, and Optimism for the Future of Science

from Data & Science with Glen Wright Colopy · host podofasclepius

Irina Gaynanova (Texas A&M) describes why she thinks that replicability is a prerequisite for reproducibility in science and how scientists can (personally) start improving the replicability of research. We also discuss how the concepts of replicability/reproducibility can differ according to the domain-specific context and the methods used. Please forward to any students or colleagues who would find this of interest!

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This episode is 1 hour and 2 minutes long.

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This episode was published on April 27, 2021.

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