Irina Gaynanova on Replicability, Reproducibility, Responsibility, and Optimism for the Future of Science
Watch it on... YouTube PodbeanIrina 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 published research. Concepts of replicability/reproducibility can differ according to the domain-specific context and the methods used. This is the start of several episodes describing how statisticians and data scientists are proactively tackling the reproducibility crisis in science.
Please forward to any students or colleagues who would find this of interest!
------------------------------
Glen Wright Colopy
DPhil Oxon
Data Scientist at Cenduit LLC, Durham, NC
------------------------------