Community Call - Code Review in the Lab, or ... How do you review code that accompanies a research project?

Stefanie Butland  


October 5, 2018

Do you have code that accompanies a research project or manuscript? How do you review and archive that code before you submit a paper? Our next Community Call will present different perspectives on this hot topic, with plenty of time for Q&A.

  • What’s the culture of the group around feedback and code collaboration?
  • What are the use cases?
  • What are some practices that can adopted?

🕘 Tuesday, October 16th, 9-10 AM PDT (find your timezone)

☎️ Find all details for joining the call on our Community Calls page. Everyone is welcome. No RSVP needed.

There’s an ongoing rich discussion on this topic, in our public forum, with contributions from the speakers, as well as other principal investigators, students and government staff.

Have a question for the speakers? Add yours to the discussion thread. See a question you’d like to have answered? Give it a ❤️. The moderator will select some of these questions to ask during Q&A.

Agenda

  1. Welcome from Stefanie Butland, rOpenSci Community Manager, (5 min)
  2. Dr Carl Boettiger (10 min)
  3. Dr Melanie Frazier & Dr Julia Stewart-Lowndes (10 min)
  4. Dr Hao Ye (10 min)
  5. Q & A (20 min, moderated by Carl Boettiger)

Speakers

Carl Boettiger Carl Boettiger is Assistant Professor in the Department of Environmental Science, Policy and Management at UC Berkeley, a co-founder and leadership team member of rOpenSci

Carl on GitHub, Twitter, Website

Melanie Frazier Melanie Frazier is the lead analyst for the global Ocean Health Index at the National Center for Ecological Analysis and Synthesis (NCEAS), University of California, Santa Barbara.

Melanie on Website

Julia Stewart-
Lowndes Julia Stewart-Lowndes is Science Program Lead for the Ocean Health Index, a marine data scientist at the National Center for Ecological Analysis and Synthesis (NCEAS), and a Mozilla Open Science Fellow.

Julia on GitHub, Twitter, Website

Hao Ye Hao Ye is a Postdoctoral Associate and Moore Data Fellow in the Weecology Lab at the University of Florida.

Hao on GitHub, Twitter, Website