Science On Repeat - Computational Reproducibility

Trust, but verify. The well-known proverb speaks to the heart of the scientific method, which builds on the results of others but requires that data be collected in a way that can be repeated with the same results. Beyond just recreating the conditions of a physical experiment, the computational analysis of data also factors into scientific reproducibility. Joining host Jorge Salazar on the podcast are Dan Stanzione, Executive Director of the Texas Advanced Computing Center and Associate Vice-President for Research at the University of Texas at Austin; and Doug James, former Deputy Director for High Performance Computing at the Texas Advanced Computing Center. Most of the computational resources mentioned on the podcast such as the Stampede2 supercomputer are funded by the National Science Foundation.