Irina Gaynanova | Replicability, Reproducibility, Responsibility, and Optimism for the Future of Science
Data & Science with Glen Wright Colopy
English - April 27, 2021 10:15 - 1 hour - 2.33 GB Video - ★★★★★ - 6 ratingsTechnology Science Mathematics Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: Science vs Pseudoscience | Neil Manson | Philosophy of Data Science
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.
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