Making science more reproducible has the potential to advance scientific research and make researchers' work more effective and productive. For computational and data-intensive research, which is increasingly pervasive across the sciences, this is particularly true, and yet is often seen as difficult to achieve. In this 2-day bootcamp-style hands-on workshop, we will teach a number of tools, resources, and practices that can be employed today to make one's computational science more reproducible.
The content of this course is the result of the Reproducible Science Curriculum Hackathon that was held December 8-11, 2014, at the National Evolutionary Synthesis Center (NESCent) in Durham. Instructors will be from the Duke's Center for Genomic and Computational Biology (GCB), the University of California Davis and the University of Florida. The hackathon and instructor travel are supported by the National Science Foundation (NSF).
If you are interested in participating, be sure to complete the registration form.