Cross-posted at emLab This is a guest post from Darcy Bradley, marine ecologist and Research Director of the Environmental Market Solution Lab’s Ocean Program at UC Santa Barbara. A leader in many realms, Darcy is thrilled to be a part of a community that celebrates open and reproducible data science; this post provides a glimpse into how she engaged that community to help her and her team improve project and data management for her research group.
I had the pleasure of writing a piece with Abby Cabunoc Mayes and Chad Sansing that was just published in Open Source Way called 3 lessons from remote meetings we’re taking back to the office. For me, this includes our scientific offices and labs. In this article we offer 3 lessons: Set an inclusive tone Provide robust documentation Choose the right tools This publication builds from a previous post, How to run a remote workshop, Openscapes/Open Leaders-style and conversations on Twitter.
Over the past weeks, protests throughout the US and around the world have been calling out systemic, anti-Black racism and calling for justice for George Floyd, Breonna Taylor, Ahmaud Arbery, and countless others. Our country is facing a reckoning and we need to take individual and collective action to fight for justice and anti-racism. I have been slow to speak out, focused on listening and learning and understanding my role in systemic anti-Black racism, including in academia and environmental science and data science.
Crossposted at NCEAS The National Center for Ecological Analysis and Synthesis (NCEAS) funds Working Groups of 15-20 scientists from across disciplines and sectors to collaborate on environmental synthesis science projects. In this time of pandemic, groups that would typically be meeting in person four times over ~two years are now faced with launching their projects virtually. NCEAS is providing training and support to help those teams kickstart their research collaborations remotely, and Openscapes was heavily involved in designing and leading the two remote learning modules.
“I was blown away at how effectively and productively you’ve led a virtual meeting – and I’m in a lot these days. People can be pretty passive”. This quote from a participant really captures what we were hoping to achieve in our first remote support module, “Efficient virtual collaboration & facilitation for synthesis science.” We wanted to not only discuss strategies for efficient collaboration and engage participants hands-on, but also model the behavior we were teaching.
Ashleigh Novak is a spatial ecologist at the University of Massachusetts Dartmouth’s School for Marine Science & Technology (SMAST), focused on integrating tagging data into stock assessments that inform fisheries management. As a technical associate with the Fay Lab, Ashleigh participated at our first in-person Openscapes Workshop at NOAA NEFSC in February 2020 and shares her experiences here. She notes below that “given the current, global situation of transitioning to at-home research, our lab is leaning on many of the tools and skills learned from Openscapes.
Here is some tips about how to run remote workshops like we do in Openscapes, which was modeled after Mozilla Open Leaders program. This post was sparked by a question on Twitter asking for ideas/suggestions on virtual workshops, and is really one I meant to write a long time ago. I’ve structured it with practical guidance for remote workshops and small remote meetings, with more details and examples from Openscapes remote and mixed events as you continue reading.
Last week Openscapes had its first-ever in-person 2-day workshop at the National Oceanic and Atmospheric Administration (NOAA) with six teams of fisheries scientists from NOAA’s Northeast Fisheries Science Center (NEFSC), Woods Hole Oceanographic Institute (WHOI), and University of Massachusetts Dartmouth’s School for Marine Science & Technology (SMAST). It was really wonderful to meet and work with these thoughtful scientists in person, and to see them leave the workshop energized to strengthen teamwork and community-based learning around open data science.
Cross-posted on rOpenSci At their closing keynote at the 2020 RStudio Conference, Hilary Parker and Roger Peng mentioned that they hatched the idea for their excellent Not So Standard Deviations podcast following their reunion at the 2015 rOpenSci unconf, (“runconf15”). That statement went straight to my heart because it pin-pointed how I had been feeling throughout the week of RStudio Conference that I had been unable to name. At rstudio::conf, I was surrounded by so many of the incredible people I had met at that very same runconf15.
tl;dr: all workshop materials are available here: GitHub: https://github.com/rstudio-conf-2020/r-for-excel Book: https://rstudio-conf-2020.github.io/r-for-excel/ Slides Cross posted: https://education.rstudio.com/blog/2020/02/conf20-r-excel/ License: CC BY-SA 4.0 Background We were thrilled to co-teach the R for Excel Users workshop at rstudio::conf(2020)! From early on in our weekly early-morning work sessions and brainstorming hikes, we knew that our R for Excel Users workshop would not be about wholesale translating Excel operations into R. Instead, it would be a more holistic approach to reproducible analyses with R – a friendly introduction to becoming a modern R user.