Reproducibility in Open Science Research
With vast amounts of data and the continuously growing body of applied mathematics and data science research, it is important to ensure that research is broadly approachable and accessible by the scientific community. In this talk, we will discuss what is Open Science, and important components of making your project more “open” as an applied mathematician. This includes tools and discussion of project management, workflow management, data management and lastly packaging it together in a documented and reproducible project.
Place: Zoom: https://arizona.zoom.us/j/82075792519