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

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

FromData & Science with Glen Wright Colopy


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

FromData & Science with Glen Wright Colopy

ratings:
Length:
63 minutes
Released:
Apr 27, 2021
Format:
Podcast episode

Description

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!
Released:
Apr 27, 2021
Format:
Podcast episode

Titles in the series (88)

Data and Science with Glen Wright Colopy is a podcast covering critical scientific reasoning, particularly from a data science / machine learning / statistics perspective. Episodes typically focus on understanding of how to be better scientists and critical thinkers for the practical purpose of being a better data scientists. Previously called: ”Pod of Asclepius”