iRISE: improving Reproducibility In SciencE

The aim of iRISE is to understand the drivers of irreproducibility, and present and test specific interventions to increase the quality, reliability and reusability of scientific evidence. I am co-leading work-package 1 which will condense the current understanding of different types of reproducibility and build on current knowledge to find the best metrics to quantify or measure those same types of reproducibility.