The Code Rigor and Reproducibility with R Boot Camp is a two-day intensive workshop for researchers who are currently using R in their research, focused on diving into strategies to improve research code so it will be more efficient, less likely to harbor hidden bugs, and ready to share as a reproducible documentation of your analysis.
This two-day intensive boot camp fills a critical gap—many health researchers are using open-source code for substantial and complex data analysis projects, yet their training in coding did not cover techniques for efficient, rigorous, and reproducible code when scaling to large and complex projects. Led by an expert in open-source programming for environmental health research, this workshop will cover techniques that you can use to make R code more rigorous and reproducible for research projects. The workshop will alternate between seminar lectures and applied computational work, with approximately equal amounts of lecture and hands-on work over the course of the workshop. In addition, participants will have the option to apply the principles from day 1 of the workshop to an example of their own research code as an optional homework, with time reserved in day 2 of the workshop for one-on-one evaluations of their progress on making their own code more rigorous and reproducible.
Investigators at all career stages are welcome to attend, but to get the most out of this workshop, you should have experience in R programming and be actively using R for research.
Additional Information:
There are two requirements to attend this training:
1. Experience with R and RStudio required for the Boot Camp. To get the most out of this workshop, it is recommended that you have used R within the context of research projects, rather than only in classroom settings.
2. Each participant is required to bring a personal laptop as all lab sessions will be done on your personal laptop. Each participant must have R and RStudio downloaded and installed prior to attending the Boot Camp. If you have R or RStudio installed already, but they were installed over a year ago, please install updated versions before the workshop: Download and install R, RStudio is an open-source Integrated Development Environment (IDE) for R. Install the free version of the RStudio IDE for your laptop
3. Optional: Instructors will provide a basic introduction to git during day 2. If this is something you are interested in, download and install git.
Visit the training website for more details: https://www.publichealth.columbia.edu/academics/non-degree-special-programs/professional-non-degree-programs/skills-health-research-professionals-sharp-training/code-rigor-reproducibility-r
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Contact the Boot Camp team: Columbia.Rcoderigor@gmail.com