Mozilla Science Lab Week in Review, March 30 – April 5

The Week in Review is our weekly roundup of what’s new in open science from the past week. If you have news or announcements you’d like passed on to the community, be sure to share on Twitter with @mozillascience and @billdoesphysics, or join our mailing list and get in touch there.

Conferences & Meetings

  • Submissions for talks and posters at SciPy 2015 are closing on April 10. The conference itself will be in Austin, Texas, July 6-12; check out the details here.
  •  Amye Kenall summarized the recent meeting of leaders & thinkers in the open science community, hosted late last month at the Center for Open Science. In her blog post, Kenall touches on projects the group agreed looking ahead, including articulating standards for open data APIs, providing guidance through the constellation of data and code training programs available, and better outlining the incentives for open practices.
  • The Advancing Research Communication & Scholarship conference is coming up on April 26-28 in Philadelphia; from their website, ‘ARCS is a new conference focused on the evolving and increasingly complex scholarly communication network.‘ Conference organizers are offering students and early career researchers scholarships for attendance and lodging.
  • The next Mozilla Science Lab Community Call is this Thursday, April 9. We’ll be hearing from several speakers on the topic of publishing negative results.

On the Blogs

Lessons & Teaching

  • Nancy Soontiens wrote a lesson on mapping in Python using Basemap. Soontiens recently delivered this lesson at UBC’s Earth & Ocean Science Study Group, and posted her notes at the growing Mozilla Science Lab Study Group Lesson repo.
  • Megan O’donell & Emma Molls from Iowa State University Library published a slide deck entitled ‘What is Open? A Primer for Early Career Researchers’. In it, O’donnell and Molls give a first introduction to the concepts of open access publishing, and how open access affects research & self-promotion in the sciences.