Community Calls

Join us in our quarterly Community Calls to hear about best practices, new projects, Q&As with well known developers, and to learn more about rOpenSci developments. These are free and open for anyone to attend and provide an opportunity to connect with rOpenSci community members around the world.

We aim to leave at least 20 minutes for open Q&A and we use collaborative note-taking allowing participants share ideas or resources and to ask questions. All past calls were recorded and are available online.

Have an idea for a Community Call topic? Tell us what you'd like to hear about or tell us a topic you're keen to speak about in our discussion forum.

Next Call

    • Reproducible workflows at scale with drake

      πŸ•“ Tuesday, September 24, 2019, 9AM (Berkeley, CA). Find your timezone.

      🎀 Speaker:   Will Landau

      πŸ“’ Announcement blog post.

      πŸ“– Topic: Ambitious workflows in R, such as machine learning analyses, can be difficult to manage. A single round of computation can take several hours to complete, and routine updates to the code and data tend to invalidate hard-earned results. You can enhance the maintainability, hygiene, speed, scale, and reproducibility of such projects with the drake R package. drake resolves the dependency structure of your analysis pipeline, skips tasks that are already up to date, executes the rest with optional distributed computing, and organizes the output so you rarely have to think about data files. This talk demonstrates how to create and maintain a realistic machine learning project using drake-powered automation.

      ☎️ Join the call via Zoom (click here for details): Everyone welcome. No RSVP needed

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